From 8a04faaf667c62b575c07c0e559cfe6ca6f33bf1 Mon Sep 17 00:00:00 2001 From: ccsuu Date: Mon, 29 Jul 2024 01:55:35 +0000 Subject: [PATCH 01/22] Refactoring and supporting SSE server --- __init__.py | 12 +- auth.py | 4 +- .../nodes_ipadapter_plus.py | 6 +- bizyair_extras/nodes_kolors_mz/__init__.py | 6 +- nodes.py | 23 ++-- nodes_controlnet_union_sdxl.py | 2 +- src/README.md | 0 src/bizyair/__init__.py | 2 + src/bizyair/client.py | 112 ++++++++++++++++++ .../bizyair/configs}/kolors_config.yaml | 0 .../bizyair/configs}/sdxl_config.yaml | 2 +- data_types.py => src/bizyair/data_types.py | 0 image_utils.py => src/bizyair/image_utils.py | 90 +++++++++----- src/bizyair/import_utils.py | 20 ++++ register.py => src/bizyair/nodes_base.py | 0 path_utils.py => src/bizyair/path_utils.py | 0 16 files changed, 231 insertions(+), 48 deletions(-) create mode 100644 src/README.md create mode 100644 src/bizyair/__init__.py create mode 100644 src/bizyair/client.py rename {configs => src/bizyair/configs}/kolors_config.yaml (100%) rename {configs => src/bizyair/configs}/sdxl_config.yaml (97%) rename data_types.py => src/bizyair/data_types.py (100%) rename image_utils.py => src/bizyair/image_utils.py (80%) create mode 100644 src/bizyair/import_utils.py rename register.py => src/bizyair/nodes_base.py (100%) rename path_utils.py => src/bizyair/path_utils.py (100%) diff --git a/__init__.py b/__init__.py index 8d775740..68ab77b3 100644 --- a/__init__.py +++ b/__init__.py @@ -1,11 +1,17 @@ -from . import register +import os +import sys + +current_path = os.path.abspath(os.path.dirname(__file__)) +src_path = os.path.join(current_path, "src") +if os.path.isdir(src_path): + sys.path.insert(0, src_path) + +from bizyair import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS from . import nodes from . import bizyair_extras from . import showcase WEB_DIRECTORY = "./js" -NODE_CLASS_MAPPINGS: dict = register.NODE_CLASS_MAPPINGS -NODE_DISPLAY_NAME_MAPPINGS: dict = register.NODE_DISPLAY_NAME_MAPPINGS from . import auth diff --git a/auth.py b/auth.py index dccddb10..43f3122c 100644 --- a/auth.py +++ b/auth.py @@ -3,6 +3,7 @@ import configparser import server from aiohttp import web +import bizyair API_KEY = None @@ -94,12 +95,12 @@ async def set_api_key(request): global API_KEY data = await request.post() api_key = data.get("api_key") - try: if api_key: response = web.Response(text="ok") response.set_cookie("api_key", api_key) API_KEY = api_key + bizyair.set_api_key(API_KEY) return response else: return web.Response( @@ -127,6 +128,7 @@ async def get_api_key(request): API_KEY = api_key response = web.Response(text="ok") response.set_cookie("api_key", api_key) + bizyair.set_api_key(API_KEY) return response else: return web.Response( diff --git a/bizyair_extras/nodes_ipadapter_plus/nodes_ipadapter_plus.py b/bizyair_extras/nodes_ipadapter_plus/nodes_ipadapter_plus.py index 69abe6ea..263f35cd 100644 --- a/bizyair_extras/nodes_ipadapter_plus/nodes_ipadapter_plus.py +++ b/bizyair_extras/nodes_ipadapter_plus/nodes_ipadapter_plus.py @@ -1,6 +1,6 @@ -from ...register import BizyAirBaseNode -from ...data_types import MODEL, CLIP, CONDITIONING -from ...image_utils import BizyAirNodeIO +from bizyair import BizyAirBaseNode +from bizyair.data_types import MODEL, CLIP, CONDITIONING +from bizyair.image_utils import BizyAirNodeIO import torch import os import math diff --git a/bizyair_extras/nodes_kolors_mz/__init__.py b/bizyair_extras/nodes_kolors_mz/__init__.py index cf6c7f2a..6815c604 100644 --- a/bizyair_extras/nodes_kolors_mz/__init__.py +++ b/bizyair_extras/nodes_kolors_mz/__init__.py @@ -1,7 +1,7 @@ import os -from ...register import BizyAirBaseNode -from ...data_types import MODEL, CLIP, CONDITIONING -from ...image_utils import BizyAirNodeIO, create_node_data +from bizyair import BizyAirBaseNode +from bizyair.data_types import MODEL, CLIP, CONDITIONING +from bizyair.image_utils import BizyAirNodeIO, create_node_data AUTHOR_NAME = "MinusZone" CATEGORY_NAME = f"{AUTHOR_NAME} - Kolors" diff --git a/nodes.py b/nodes.py index 68aa539a..a10e9cdf 100644 --- a/nodes.py +++ b/nodes.py @@ -1,18 +1,23 @@ import os from typing import List import comfy -from . import path_utils as folder_paths -from .register import BizyAirBaseNode -from .image_utils import ( - create_node_data, - BizyAirNodeIO, -) -from . import data_types +from bizyair import path_utils as folder_paths +from bizyair import create_node_data, BizyAirBaseNode +from bizyair import data_types, BizyAirNodeIO LOGO = "☁️" PREFIX = f"{LOGO}BizyAir" +class ProgressCallback: + def __init__(self, total=None) -> None: + comfy.model_management.throw_exception_if_processing_interrupted() + self.pbar = comfy.utils.ProgressBar(None) + + def __call__(self, value, total=None, preview=None): + self.pbar.update_absolute(value, total, preview) + + class BizyAir_KSampler(BizyAirBaseNode): @classmethod def INPUT_TYPES(s): @@ -81,8 +86,8 @@ def sample( }, outputs={"slot_index": 0}, ) - - return new_model.send_request() + progress_callback = ProgressCallback() + return new_model.send_request(progress_callback=progress_callback) class BizyAir_CheckpointLoaderSimple(BizyAirBaseNode): diff --git a/nodes_controlnet_union_sdxl.py b/nodes_controlnet_union_sdxl.py index 512f3943..83290a1b 100644 --- a/nodes_controlnet_union_sdxl.py +++ b/nodes_controlnet_union_sdxl.py @@ -8,7 +8,7 @@ import numpy as np import requests from .utils import get_api_key -from .image_utils import encode_comfy_image, decode_comfy_image +from .src.bizyair.image_utils import encode_comfy_image, decode_comfy_image BIZYAIR_SERVER_ADDRESS = os.getenv( "BIZYAIR_SERVER_ADDRESS", "https://api.siliconflow.cn" diff --git a/src/README.md b/src/README.md new file mode 100644 index 00000000..e69de29b diff --git a/src/bizyair/__init__.py b/src/bizyair/__init__.py new file mode 100644 index 00000000..80082c49 --- /dev/null +++ b/src/bizyair/__init__.py @@ -0,0 +1,2 @@ +from .nodes_base import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS, BizyAirBaseNode +from .image_utils import create_node_data, BizyAirNodeIO, set_api_key diff --git a/src/bizyair/client.py b/src/bizyair/client.py new file mode 100644 index 00000000..f5048c22 --- /dev/null +++ b/src/bizyair/client.py @@ -0,0 +1,112 @@ +import json +import urllib.request +import urllib.error + +__all__ = ["BizyAirRequestClient"] + + +class BaseClient: + def __init__(self, api_url, api_key=None): + self.api_url = api_url + self.API_KEY = api_key + + def get_headers(self, sse=False): + if self.API_KEY is None: + raise ValueError("API key is not set. Please provide a valid API key.") + + headers = { + "accept": "application/json", + "content-type": "application/json", + "authorization": f"Bearer {self.API_KEY}", + } + + if sse: + headers["accept"] = "text/event-stream" + + return headers + + def _handle_url_error(self, e): + error_message = str(e) + if "Unauthorized" in error_message: + raise Exception( + "Key is invalid, please refer to https://cloud.siliconflow.cn to get the API key.\n" + "If you have the key, please click the 'BizyAir Key' button at the bottom right to set the key." + ) + else: + raise Exception( + f"Failed to connect to the server: {e}, if you have no key, " + ) + + +class BizyAirRequestClient(BaseClient): + def __init__(self, api_url, workflow_api, api_key=None): + super().__init__(api_url, api_key) + self.workflow_api = workflow_api + + def send_request(self): + try: + data = json.dumps(self.workflow_api).encode("utf-8") + req = urllib.request.Request( + self.api_url, data=data, headers=self.get_headers(), method="POST" + ) + with urllib.request.urlopen(req) as response: + response_data = response.read().decode("utf-8") + return response_data + except urllib.error.URLError as e: + self._handle_url_error(e) + + +class BizyAirStreamClient(BaseClient): + def __init__(self, api_url, workflow_api, api_key=None): + super().__init__(api_url, api_key) + self.workflow_api = workflow_api + self.response = None + + def __enter__(self): + data = json.dumps(self.workflow_api).encode("utf-8") + req = urllib.request.Request( + self.api_url, data=data, headers=self.get_headers(sse=True), method="POST" + ) + self.response = urllib.request.urlopen(req) + return self + + def __exit__(self, exc_type, exc_value, traceback): + if self.response: + self.response.close() + + def events(self): + try: + for line in self.response: + decoded_line = line.decode("utf-8") + if decoded_line.startswith("data:"): + event_data = decoded_line[5:].strip() + yield event_data + except GeneratorExit: + self.close() + + def close(self): + if self.response: + self.response.close() + + +# Example usage +if __name__ == "__main__": + api_url = "http://0.0.0.0:8000/supernode/test-dummy1" + workflow_api = {"key1": "value1", "key2": "value2"} + api_key = "YOUR_API_KEY" + + # Example for sending a POST request + request_client = BizyAirRequestClient(api_url, workflow_api, api_key) + try: + response_data = request_client.send_request() + print(f"Response Data: {response_data}") + except Exception as e: + print(e) + + # Example for SSE client using with statement + try: + with BizyAirStreamClient(api_url, workflow_api, api_key) as stream_client: + for event_data in stream_client.events(): + print(f"Event Data: {event_data}") + except Exception as e: + print(e) diff --git a/configs/kolors_config.yaml b/src/bizyair/configs/kolors_config.yaml similarity index 100% rename from configs/kolors_config.yaml rename to src/bizyair/configs/kolors_config.yaml diff --git a/configs/sdxl_config.yaml b/src/bizyair/configs/sdxl_config.yaml similarity index 97% rename from configs/sdxl_config.yaml rename to src/bizyair/configs/sdxl_config.yaml index 2a18ca78..55dca67c 100644 --- a/configs/sdxl_config.yaml +++ b/src/bizyair/configs/sdxl_config.yaml @@ -1,6 +1,6 @@ service_config: - service_address: https://api.siliconflow.cn + service_address: http://0.0.0.0:8000 route: /supernode/bizyair-sdxl-comfy-ksampler service_route: "{{ service_config.service_address }}{{ service_config.route }}" diff --git a/data_types.py b/src/bizyair/data_types.py similarity index 100% rename from data_types.py rename to src/bizyair/data_types.py diff --git a/image_utils.py b/src/bizyair/image_utils.py similarity index 80% rename from image_utils.py rename to src/bizyair/image_utils.py index 29b7ae8e..2b5e0366 100644 --- a/image_utils.py +++ b/src/bizyair/image_utils.py @@ -1,4 +1,5 @@ import base64 +from enum import Enum import io import json import os @@ -10,8 +11,7 @@ import torch from PIL import Image import yaml -import urllib.request -import urllib.parse +from .client import BizyAirStreamClient # Marker to identify base64-encoded tensors TENSOR_MARKER = "TENSOR:" @@ -19,6 +19,12 @@ from typing import Dict +class TaskStatus(Enum): + PENDING = "pending" + PROCESSING = "processing" + COMPLETED = "completed" + + def create_node_data(class_type: str, inputs: dict, outputs: dict): assert ( outputs.get("slot_index", None) is not None @@ -35,18 +41,26 @@ def create_node_data(class_type: str, inputs: dict, outputs: dict): return out +def set_api_key(self, API_KEY="YOUR_API_KEY"): + BizyAirNodeIO.API_KEY = API_KEY + + class BizyAirNodeIO: + API_KEY = None + def __init__( self, node_id: int = "0", nodes: Dict[str, Dict[str, any]] = {}, config_file=None, configs: dict = None, + debug: bool = os.getenv("BIZYAIR_DEBUG", False), ): self._validate_node_id(node_id=node_id) self.node_id = node_id self.nodes = nodes + self.debug = debug if config_file: if not os.path.exists(config_file): @@ -180,14 +194,14 @@ def update_nodes_from_others(self, *others): if isinstance(other, BizyAirNodeIO): self.nodes.update(other.nodes) - @staticmethod - def get_headers(): - from .auth import API_KEY + def get_headers(self): + if self.API_KEY is None: + raise ValueError("API key is not set. Please provide a valid API key.") return { "accept": "application/json", "content-type": "application/json", - "authorization": f"Bearer {API_KEY}", + "authorization": f"Bearer {self.API_KEY}", } def service_route(self): @@ -195,29 +209,51 @@ def service_route(self): real_service_route = service_config["service_address"] + service_config["route"] return real_service_route - def send_request(self, url=None, headers=None) -> any: - # self._short_repr(self.nodes, max_length=100) - # self._short_repr(self.workflow_api, max_length=100) + def send_request(self, url=None, headers=None, *, progress_callback=None) -> any: + # self._short_repr(self.nodes, max_length=100) + # self._short_repr(self.workflow_api['prompt'], max_length=100) api_url = self.service_route() - try: - data = json.dumps(self.workflow_api).encode("utf-8") - req = urllib.request.Request( - api_url, data=data, headers=self.get_headers(), method="POST" - ) - with urllib.request.urlopen(req) as response: - response_data = response.read().decode("utf-8") - except urllib.error.URLError as e: - if "Unauthorized" in str(e): - raise Exception( - "Key is invalid, please refer to https://cloud.siliconflow.cn to get the API key.\n" - "If you have the key, please click the 'BizyAir Key' button at the bottom right to set the key." - ) - else: - raise Exception( - f"Failed to connect to the server: {e}, if you have no key, " - ) - result = json.loads(response_data) + # client = BizyAirRequestClient(api_url, self.workflow_api, self.API_KEY) + # response_data = client.send_request() + def process_events(api_url, workflow_api, api_key): + total_steps = None + with BizyAirStreamClient(api_url, workflow_api, api_key) as stream_client: + for event_data in stream_client.events(): + try: + event_data = json.loads(event_data)["data"] + except json.JSONDecodeError as e: + print(f"Error decoding JSON: {e}") + print(f"Received data: {event_data}") + raise e + + if self.debug: + print(f"Debug Event Data: {self._short_repr(event_data, 100)}") + + status = event_data["status"] + data = event_data["data"] + pending_count = event_data.get("pending_tasks_count", None) + if status == TaskStatus.PENDING.value: + print( + f"Task is pending, current pending tasks count: {pending_count}" + ) + elif status == TaskStatus.PROCESSING.value: + if isinstance(event_data["data"], list): + step, total_steps = event_data["data"][:2] + progress_callback(step, total_steps, preview=None) + else: + print(f"Processing: {data}") + + elif status == TaskStatus.COMPLETED.value: + result = event_data + if total_steps: + progress_callback(total_steps, total_steps, preview=None) + break + + return result + + result = process_events(api_url, self.workflow_api, self.API_KEY) + # result = json.loads(response_data) if "result" in result: # cloud msg = json.loads(result["result"]) if "error" in msg: diff --git a/src/bizyair/import_utils.py b/src/bizyair/import_utils.py new file mode 100644 index 00000000..fcc76f1a --- /dev/null +++ b/src/bizyair/import_utils.py @@ -0,0 +1,20 @@ +import importlib +import traceback +import platform + +system = platform.system() + + +def check_module_availability(module_name): + spec = importlib.util.find_spec(module_name) + + if spec: + try: + importlib.import_module(module_name) + except ImportError as e: + print(traceback.format_exc()) + return False + else: + return False + + return True diff --git a/register.py b/src/bizyair/nodes_base.py similarity index 100% rename from register.py rename to src/bizyair/nodes_base.py diff --git a/path_utils.py b/src/bizyair/path_utils.py similarity index 100% rename from path_utils.py rename to src/bizyair/path_utils.py From 2f1da72d77a862d2e1fa6da24ad597a1af9a69ed Mon Sep 17 00:00:00 2001 From: ccsuu Date: Mon, 29 Jul 2024 09:45:41 +0000 Subject: [PATCH 02/22] refine --- src/bizyair/image_utils.py | 10 +++++----- src/bizyair/import_utils.py | 20 -------------------- 2 files changed, 5 insertions(+), 25 deletions(-) delete mode 100644 src/bizyair/import_utils.py diff --git a/src/bizyair/image_utils.py b/src/bizyair/image_utils.py index 2b5e0366..1f71de49 100644 --- a/src/bizyair/image_utils.py +++ b/src/bizyair/image_utils.py @@ -238,11 +238,12 @@ def process_events(api_url, workflow_api, api_key): f"Task is pending, current pending tasks count: {pending_count}" ) elif status == TaskStatus.PROCESSING.value: - if isinstance(event_data["data"], list): - step, total_steps = event_data["data"][:2] + if "progress" in data and isinstance(data["progress"], dict): + step, total_steps = ( + data["progress"]["value"], + data["progress"]["total"], + ) progress_callback(step, total_steps, preview=None) - else: - print(f"Processing: {data}") elif status == TaskStatus.COMPLETED.value: result = event_data @@ -253,7 +254,6 @@ def process_events(api_url, workflow_api, api_key): return result result = process_events(api_url, self.workflow_api, self.API_KEY) - # result = json.loads(response_data) if "result" in result: # cloud msg = json.loads(result["result"]) if "error" in msg: diff --git a/src/bizyair/import_utils.py b/src/bizyair/import_utils.py deleted file mode 100644 index fcc76f1a..00000000 --- a/src/bizyair/import_utils.py +++ /dev/null @@ -1,20 +0,0 @@ -import importlib -import traceback -import platform - -system = platform.system() - - -def check_module_availability(module_name): - spec = importlib.util.find_spec(module_name) - - if spec: - try: - importlib.import_module(module_name) - except ImportError as e: - print(traceback.format_exc()) - return False - else: - return False - - return True From 78b54cc05a8dd58346806bd93d4b6daf64f231fb Mon Sep 17 00:00:00 2001 From: FengWen Date: Wed, 31 Jul 2024 02:34:56 +0800 Subject: [PATCH 03/22] refine --- .../nodes_ipadapter_plus.py | 10 ++- bizyair_extras/nodes_kolors_mz/__init__.py | 88 +++++-------------- mzkolors.py | 40 ++++++++- nodes.py | 46 ++++++++++ src/bizyair/configs/kolors_config.yaml | 7 +- src/bizyair/configs/sdxl_config.yaml | 2 +- src/bizyair/image_utils.py | 3 + src/bizyair/path_utils.py | 32 +++++-- 8 files changed, 149 insertions(+), 79 deletions(-) diff --git a/bizyair_extras/nodes_ipadapter_plus/nodes_ipadapter_plus.py b/bizyair_extras/nodes_ipadapter_plus/nodes_ipadapter_plus.py index 263f35cd..0a25625a 100644 --- a/bizyair_extras/nodes_ipadapter_plus/nodes_ipadapter_plus.py +++ b/bizyair_extras/nodes_ipadapter_plus/nodes_ipadapter_plus.py @@ -1,6 +1,6 @@ from bizyair import BizyAirBaseNode from bizyair.data_types import MODEL, CLIP, CONDITIONING -from bizyair.image_utils import BizyAirNodeIO +from bizyair.image_utils import BizyAirNodeIO, create_node_data import torch import os import math @@ -167,6 +167,14 @@ def INPUT_TYPES(s): FUNCTION = "load_ipadapter_model" CATEGORY = "ipadapter/loaders" + def load_ipadapter_model(self, **kwargs): + node_data = create_node_data( + class_type="IPAdapterModelLoader", + inputs=kwargs, + outputs={"slot_index": 0}, + ) + return (BizyAirNodeIO(self.assigned_id, nodes={self.assigned_id: node_data}),) + class IPAdapterInsightFaceLoader: @classmethod diff --git a/bizyair_extras/nodes_kolors_mz/__init__.py b/bizyair_extras/nodes_kolors_mz/__init__.py index 6815c604..8ab04002 100644 --- a/bizyair_extras/nodes_kolors_mz/__init__.py +++ b/bizyair_extras/nodes_kolors_mz/__init__.py @@ -1,7 +1,8 @@ import os from bizyair import BizyAirBaseNode -from bizyair.data_types import MODEL, CLIP, CONDITIONING +from bizyair.data_types import MODEL, CLIP, CONDITIONING, CONTROL_NET from bizyair.image_utils import BizyAirNodeIO, create_node_data +from bizyair import path_utils as folder_paths AUTHOR_NAME = "MinusZone" CATEGORY_NAME = f"{AUTHOR_NAME} - Kolors" @@ -12,7 +13,7 @@ class MZ_KolorsUNETLoaderV2(BizyAirBaseNode): def INPUT_TYPES(s): return { "required": { - "unet_name": (["kolors/kolors-unet.safetensors"],), + "unet_name": (folder_paths.get_filename_list("unet"),), } } @@ -25,37 +26,16 @@ def INPUT_TYPES(s): NODE_DISPLAY_NAME = f"{AUTHOR_NAME} - KolorsUNETLoaderV2" def load_unet(self, **kwargs): - current_directory = os.path.dirname(__file__) - config_file = os.path.join(current_directory, "config", "kolors_config.yaml") node_data = create_node_data( class_type="MZ_KolorsUNETLoaderV2", inputs=kwargs, outputs={"slot_index": 0}, ) - out = BizyAirNodeIO(self.assigned_id, {self.assigned_id: node_data}) - return (out,) - - -class MZ_IPAdapterModelLoaderKolors(BizyAirBaseNode): - @classmethod - def INPUT_TYPES(s): - return { - "required": {"ipadapter_file": (["kolors/ip_adapter_plus_general.bin"],)} - } - - RETURN_TYPES = ("IPADAPTER",) - FUNCTION = "load_ipadapter_model" - CATEGORY = "ipadapter/loaders" - NODE_DISPLAY_NAME = f"IPAdapterModelLoader(kolors) - Legacy" - - def load_ipadapter_model(self, **kwargs): - node_data = create_node_data( - class_type="MZ_IPAdapterModelLoaderKolors", - inputs=kwargs, - outputs={"slot_index": 0}, + config_file = folder_paths.guess_config(unet_name=kwargs["unet_name"]) + out = BizyAirNodeIO( + self.assigned_id, {self.assigned_id: node_data}, config_file=config_file ) - out = BizyAirNodeIO(self.assigned_id, {self.assigned_id: node_data}) return (out,) @@ -78,56 +58,28 @@ def load_ipadapter_model(self, **kwargs): ] -class MZ_IPAdapterAdvancedKolors(BizyAirBaseNode): - def __init__(self): - super().__init__() - self.unfold_batch = False - +class MZ_KolorsControlNetLoader(BizyAirBaseNode): @classmethod def INPUT_TYPES(s): return { "required": { - "model": (MODEL,), - "ipadapter": ("IPADAPTER",), - "image": ("IMAGE",), - "weight": ( - "FLOAT", - {"default": 1.0, "min": -1, "max": 5, "step": 0.05}, - ), - "weight_type": (WEIGHT_TYPES,), - "combine_embeds": ( - ["concat", "add", "subtract", "average", "norm average"], - ), - "start_at": ( - "FLOAT", - {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "end_at": ( - "FLOAT", - {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "embeds_scaling": ( - ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], - ), - }, - "optional": { - "image_negative": ("IMAGE",), - "attn_mask": ("MASK",), - "clip_vision": ("CLIP_VISION",), - }, + "control_net_name": (folder_paths.get_filename_list("controlnet"),), + # "seed": ("INT", {"default": 0, "min": 0, "max": 1000000}), + } } - RETURN_TYPES = (MODEL,) - RETURN_NAMES = ("model",) - FUNCTION = "apply_ipadapter" - CATEGORY = f"ipadapter" - NODE_DISPLAY_NAME = f"IPAdapterAdvanced(kolors) - Legacy" + RETURN_TYPES = (CONTROL_NET,) + RETURN_NAMES = ("ControlNet",) + FUNCTION = "load_controlnet" + + CATEGORY = CATEGORY_NAME - def apply_ipadapter(self, **kwargs): + def load_controlnet(self, **kwargs): node_data = create_node_data( - class_type="MZ_IPAdapterAdvancedKolors", + class_type="MZ_KolorsControlNetLoader", inputs=kwargs, outputs={"slot_index": 0}, ) - out = BizyAirNodeIO(self.assigned_id, {self.assigned_id: node_data}) - return (out,) + assigned_id = self.assigned_id + node = BizyAirNodeIO(assigned_id, {assigned_id: node_data}) + return (node,) diff --git a/mzkolors.py b/mzkolors.py index 629c58e7..3a6682d2 100644 --- a/mzkolors.py +++ b/mzkolors.py @@ -1,8 +1,9 @@ import os import uuid - import torch - +from bizyair.data_types import CONDITIONING +from bizyair import create_node_data, BizyAirNodeIO, BizyAirBaseNode +from bizyair.image_utils import encode_data from .utils import ( decode_and_deserialize, send_post_request, @@ -65,9 +66,44 @@ def encode(self, text): return (ret_conditioning,) +class BizyAir_MinusZoneChatGLM3TextEncode(BizyAirMZChatGLM3TextEncode, BizyAirBaseNode): + RETURN_TYPES = (CONDITIONING,) + + FUNCTION = "mz_encode" + + def mz_encode(self, text): + out = self.encode(text)[0] + node_data = create_node_data( + class_type="ComfyAirLoadData", + inputs={"conditioning": {"relay": out}}, + outputs={"slot_index": 3}, + ) + node_data["is_changed"] = uuid.uuid4().hex + return ( + BizyAirNodeIO( + self.assigned_id, nodes={self.assigned_id: encode_data(node_data)} + ), + ) + + +class Debug_CONDITIONING: + @classmethod + def INPUT_TYPES(s): + return {"required": {}, "optional": {"anything": ("*", {})}} + + RETURN_TYPES = (CONDITIONING,) + FUNCTION = "call" + + def call(self, anything): + return (anything,) + + NODE_CLASS_MAPPINGS = { "BizyAirMZChatGLM3TextEncode": BizyAirMZChatGLM3TextEncode, + "BizyAir_MinusZoneChatGLM3TextEncode": BizyAir_MinusZoneChatGLM3TextEncode, + "Debug_CONDITIONING": Debug_CONDITIONING, } NODE_DISPLAY_NAME_MAPPINGS = { "BizyAirMZChatGLM3TextEncode": "☁️BizyAir ChatGLM3 Text Encode", + "BizyAir_MinusZoneChatGLM3TextEncode": "☁️BizyAir MinusZone ChatGLM3 Text Encode", } diff --git a/nodes.py b/nodes.py index a10e9cdf..8366c89f 100644 --- a/nodes.py +++ b/nodes.py @@ -325,6 +325,52 @@ def load_controlnet(self, control_net_name): return (node,) +class BizyAir_ControlNetApplyAdvanced(BizyAirBaseNode): + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "positive": (data_types.CONDITIONING,), + "negative": (data_types.CONDITIONING,), + "control_net": (data_types.CONTROL_NET,), + "image": ("IMAGE",), + "strength": ( + "FLOAT", + {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}, + ), + "start_percent": ( + "FLOAT", + {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, + ), + "end_percent": ( + "FLOAT", + {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, + ), + } + } + + RETURN_TYPES = (data_types.CONDITIONING, data_types.CONDITIONING) + RETURN_NAMES = ("positive", "negative") + FUNCTION = "apply_controlnet" + + CATEGORY = "conditioning" + + def apply_controlnet(self, **kwargs): + new_positive = kwargs["positive"].copy(self.assigned_id) + new_negative = kwargs["negative"].copy(self.assigned_id) + outs = [ + new_positive, + new_negative, + ] + for slot_index, out in zip(range(0, 2), outs): + out.add_node_data( + class_type="ControlNetApplyAdvanced", + inputs=kwargs, + outputs={"slot_index": slot_index}, + ) + return outs + + class BizyAir_ControlNetApply(BizyAirBaseNode): @classmethod def INPUT_TYPES(s): diff --git a/src/bizyair/configs/kolors_config.yaml b/src/bizyair/configs/kolors_config.yaml index 9d99c31c..71b5ba7f 100644 --- a/src/bizyair/configs/kolors_config.yaml +++ b/src/bizyair/configs/kolors_config.yaml @@ -1,6 +1,11 @@ server_format: BizyAir_KSampler: KSampler - + +service_config: + service_address: http://0.0.0.0:9911 + route: /supernode/bizyair-sdxl-comfy-ksampler + service_route: "{{ service_config.service_address }}{{ service_config.route }}" + service_route: http://your-service-route-address class_types: diff --git a/src/bizyair/configs/sdxl_config.yaml b/src/bizyair/configs/sdxl_config.yaml index 55dca67c..a6aab247 100644 --- a/src/bizyair/configs/sdxl_config.yaml +++ b/src/bizyair/configs/sdxl_config.yaml @@ -1,6 +1,6 @@ service_config: - service_address: http://0.0.0.0:8000 + service_address: http://0.0.0.0:9911 route: /supernode/bizyair-sdxl-comfy-ksampler service_route: "{{ service_config.service_address }}{{ service_config.route }}" diff --git a/src/bizyair/image_utils.py b/src/bizyair/image_utils.py index 1f71de49..af770c57 100644 --- a/src/bizyair/image_utils.py +++ b/src/bizyair/image_utils.py @@ -115,6 +115,9 @@ def copy(self, new_node_id: str = None): @property def workflow_api(self): + # TODO (refine) + return {"prompt": self.nodes, "last_node_id": self.node_id} + class_configs = self.configs.get("class_types", {}) class_usage_count = {} for _, instance_info in self.nodes.items(): diff --git a/src/bizyair/path_utils.py b/src/bizyair/path_utils.py index 9b03840a..6e224721 100644 --- a/src/bizyair/path_utils.py +++ b/src/bizyair/path_utils.py @@ -12,7 +12,9 @@ def load_yaml_config(file_path): return config -def guess_config(*, ckpt_name: str = None, vae_name: str = None) -> str: +def guess_config( + *, ckpt_name: str = None, unet_name: str = None, vae_name: str = None +) -> str: base_path = os.path.dirname(os.path.abspath(__file__)) if ckpt_name is not None: if ckpt_name == "sdxl/Juggernaut-XL_v9_RunDiffusionPhoto_v2.safetensors": @@ -21,6 +23,10 @@ def guess_config(*, ckpt_name: str = None, vae_name: str = None) -> str: if vae_name == "sdxl/sdxl_vae.safetensors": return os.path.join(base_path, "configs", "kolors_config.yaml") + if unet_name is not None: + if unet_name.startswith("kolors"): + return os.path.join(base_path, "configs", "kolors_config.yaml") + def get_config_file_list(base_path=None) -> list: if base_path is None: @@ -42,6 +48,8 @@ def get_filename_list(folder_name): def init_config(): + global folder_names_and_paths + class_type_key_mapping = { "CheckpointLoaderSimple": ["ckpt_name", "checkpoints"], "ControlNetLoader": ["control_net_name", "controlnet"], @@ -55,20 +63,32 @@ def init_config(): inputs = config["class_types"][class_type].get("inputs", {}) if class_type in class_type_key_mapping: key, folder_key = class_type_key_mapping[class_type] - if key not in folder_names_and_paths: + if folder_key not in folder_names_and_paths: folder_names_and_paths[folder_key] = [] if key not in inputs: print(f"Warning: no find limit for {class_type=} {key=}") else: folder_names_and_paths[folder_key].extend(inputs[key]) + if "unet" not in folder_names_and_paths: + folder_names_and_paths["unet"] = [] + folder_names_and_paths["unet"].extend( + ["kolors/kolors-unet.safetensors", "Kolors-Inpainting.safetensors"] + ) + + if "controlnet" not in folder_names_and_paths: + folder_names_and_paths["controlnet"] = [] + folder_names_and_paths["controlnet"].extend( + [ + "kolors/Kolors-ControlNet-Canny.safetensors", + "diffusion_pytorch_model_promax.safetensors", + ] + ) + init_config() if __name__ == "__main__": print(f"Loaded config from {get_config_file_list()}") configs = [load_yaml_config(x) for x in get_config_file_list()] - # print(f'{configs}') - import pdb - - pdb.set_trace() + print(get_filename_list("clip_vision")) From c48764ab6fdebd7587a191150391831e6f7c30ef Mon Sep 17 00:00:00 2001 From: FengWen Date: Wed, 31 Jul 2024 14:59:38 +0800 Subject: [PATCH 04/22] refine config --- src/bizyair/configs/models.json | 70 ++++++++++++++++++++ src/bizyair/configs/sdxl_config.yaml | 2 +- src/bizyair/image_utils.py | 97 +++++++++++++++------------- src/bizyair/path_utils.py | 68 +++++++++++++++---- 4 files changed, 178 insertions(+), 59 deletions(-) create mode 100644 src/bizyair/configs/models.json diff --git a/src/bizyair/configs/models.json b/src/bizyair/configs/models.json new file mode 100644 index 00000000..50a4ccf9 --- /dev/null +++ b/src/bizyair/configs/models.json @@ -0,0 +1,70 @@ +{ + "checkpoints": { + "sdxl": [ + "counterfeitxl_v25.safetensors", + "dreamshaperXL_lightningDPMSDE.safetensors", + "dreamshaperXL_v21TurboDPMSDE.safetensors", + "HelloWorldXL_v70.safetensors", + "juggernautXL_v9Rdphoto2Lightning.safetensors", + "Juggernaut-XL_v9_RunDiffusionPhoto_v2.safetensors", + "Juggernaut_X_RunDiffusion_Hyper.safetensors", + "Juggernaut-X-RunDiffusion-NSFW.safetensors", + "mannEDreams_v004.safetensors", + "realisticStockPhoto_v20.safetensors", + "samaritan3dCartoon_v40SDXL.safetensors" + ] + }, + "clip_vision": { + "models": [ + "CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors" + ], + "kolors": [ + "pytorch_model.bin" + ] + }, + "controlnet": { + "kolors": [ + "Kolors-ControlNet-Canny.safetensors", + "Kolors-ControlNet-Depth.safetensors" + ], + "sdxl": [ + "diffusion_pytorch_model_promax.safetensors" + ] + }, + "instantid": [ + "ip-adapter.bin" + ], + "ipadapter": { + "models": [ + "ip-adapter-faceid-plusv2_sdxl.bin", + "ip-adapter-faceid-portrait_sdxl.bin", + "ip-adapter-faceid-portrait_sdxl_unnorm.bin", + "ip-adapter-faceid_sdxl.bin", + "ip-adapter-plus-face_sdxl_vit-h.safetensors", + "ip-adapter-plus_sd15.safetensors", + "ip-adapter-plus_sdxl_vit-h.safetensors" + ], + "kolors": [ + "ip_adapter_plus_general.bin" + ] + }, + "loras": { + "sdxl": [ + "Cute_Animals.safetensors", + "ip-adapter-faceid-plusv2_sdxl_lora.safetensors", + "ip-adapter-faceid_sdxl_lora.safetensors", + "watercolor_v1_sdxl_lora.safetensors" + ] + }, + "unet": { + "kolors": [ + "Kolors-Inpainting.safetensors", + "Kolors.safetensors" + ] + }, + "vae": { + "sdxl": [ + "sdxl_vae.safetensors" + ] + } + } \ No newline at end of file diff --git a/src/bizyair/configs/sdxl_config.yaml b/src/bizyair/configs/sdxl_config.yaml index a6aab247..b306c69e 100644 --- a/src/bizyair/configs/sdxl_config.yaml +++ b/src/bizyair/configs/sdxl_config.yaml @@ -1,6 +1,6 @@ service_config: - service_address: http://0.0.0.0:9911 + service_address: http://0.0.0.0:9911 # https://api.siliconflow.cn # http://0.0.0.0:9911 route: /supernode/bizyair-sdxl-comfy-ksampler service_route: "{{ service_config.service_address }}{{ service_config.route }}" diff --git a/src/bizyair/image_utils.py b/src/bizyair/image_utils.py index af770c57..09646077 100644 --- a/src/bizyair/image_utils.py +++ b/src/bizyair/image_utils.py @@ -11,7 +11,7 @@ import torch from PIL import Image import yaml -from .client import BizyAirStreamClient +from .client import BizyAirStreamClient, BizyAirRequestClient # Marker to identify base64-encoded tensors TENSOR_MARKER = "TENSOR:" @@ -42,11 +42,13 @@ def create_node_data(class_type: str, inputs: dict, outputs: dict): def set_api_key(self, API_KEY="YOUR_API_KEY"): - BizyAirNodeIO.API_KEY = API_KEY + # TODO + # BizyAirNodeIO.API_KEY = API_KEY + pass class BizyAirNodeIO: - API_KEY = None + API_KEY = os.getenv("BIZYAIR_API_KEY", "YOUR_API_KEY") def __init__( self, @@ -212,51 +214,56 @@ def service_route(self): real_service_route = service_config["service_address"] + service_config["route"] return real_service_route - def send_request(self, url=None, headers=None, *, progress_callback=None) -> any: + def send_request( + self, url=None, headers=None, *, progress_callback=None, stream=False + ) -> any: # self._short_repr(self.nodes, max_length=100) # self._short_repr(self.workflow_api['prompt'], max_length=100) api_url = self.service_route() - - # client = BizyAirRequestClient(api_url, self.workflow_api, self.API_KEY) - # response_data = client.send_request() - def process_events(api_url, workflow_api, api_key): - total_steps = None - with BizyAirStreamClient(api_url, workflow_api, api_key) as stream_client: - for event_data in stream_client.events(): - try: - event_data = json.loads(event_data)["data"] - except json.JSONDecodeError as e: - print(f"Error decoding JSON: {e}") - print(f"Received data: {event_data}") - raise e - - if self.debug: - print(f"Debug Event Data: {self._short_repr(event_data, 100)}") - - status = event_data["status"] - data = event_data["data"] - pending_count = event_data.get("pending_tasks_count", None) - if status == TaskStatus.PENDING.value: - print( - f"Task is pending, current pending tasks count: {pending_count}" - ) - elif status == TaskStatus.PROCESSING.value: - if "progress" in data and isinstance(data["progress"], dict): - step, total_steps = ( - data["progress"]["value"], - data["progress"]["total"], - ) - progress_callback(step, total_steps, preview=None) - - elif status == TaskStatus.COMPLETED.value: - result = event_data - if total_steps: - progress_callback(total_steps, total_steps, preview=None) - break - - return result - - result = process_events(api_url, self.workflow_api, self.API_KEY) + if stream: + result = None + pass # TODO(fix) + # def process_events(api_url, workflow_api, api_key): + # total_steps = None + # with BizyAirStreamClient(api_url, workflow_api, api_key) as stream_client: + # for event_data in stream_client.events(): + # try: + # event_data = json.loads(event_data)["data"] + # except json.JSONDecodeError as e: + # print(f"rror decoding JSON: {e}") + # print(f"Received data: {event_data}") + # raise e + + # # if self.debug: + # print(f"Debug Event Data: {self._short_repr(event_data, 100)}") + + # status = event_data["status"] + # data = event_data["data"] + # pending_count = event_data.get("pending_tasks_count", None) + # if status == TaskStatus.PENDING.value: + # print( + # f"Task is pending, current pending tasks count: {pending_count}" + # ) + # elif status == TaskStatus.PROCESSING.value: + # if "progress" in data and isinstance(data["progress"], dict): + # step, total_steps = ( + # data["progress"]["value"], + # data["progress"]["total"], + # ) + # progress_callback(step, total_steps, preview=None) + + # elif status == TaskStatus.COMPLETED.value: + # if total_steps: + # progress_callback(total_steps, total_steps, preview=None) + # return event_data + + # result = process_events(api_url, self.workflow_api, self.API_KEY) + else: + client = BizyAirRequestClient(api_url, self.workflow_api, self.API_KEY) + response_data = client.send_request() + result = json.loads(response_data) + if result is None: + raise RuntimeError("result is None") if "result" in result: # cloud msg = json.loads(result["result"]) if "error" in msg: diff --git a/src/bizyair/path_utils.py b/src/bizyair/path_utils.py index 6e224721..627155bd 100644 --- a/src/bizyair/path_utils.py +++ b/src/bizyair/path_utils.py @@ -1,9 +1,13 @@ import os import yaml +import json +from pathlib import Path +from typing import Any, List SupportedFileExtensionsType = set[str] ScanPathType = list[str] folder_names_and_paths: dict[str, tuple[ScanPathType, SupportedFileExtensionsType]] = {} +base_path = os.path.dirname(os.path.abspath(__file__)) def load_yaml_config(file_path): @@ -16,16 +20,15 @@ def guess_config( *, ckpt_name: str = None, unet_name: str = None, vae_name: str = None ) -> str: base_path = os.path.dirname(os.path.abspath(__file__)) - if ckpt_name is not None: - if ckpt_name == "sdxl/Juggernaut-XL_v9_RunDiffusionPhoto_v2.safetensors": - return os.path.join(base_path, "configs", "sdxl_config.yaml") - if vae_name is not None: - if vae_name == "sdxl/sdxl_vae.safetensors": - return os.path.join(base_path, "configs", "kolors_config.yaml") - - if unet_name is not None: - if unet_name.startswith("kolors"): - return os.path.join(base_path, "configs", "kolors_config.yaml") + if ckpt_name is not None and ckpt_name.lower().startswith("sdxl"): + return os.path.join(base_path, "configs", "sdxl_config.yaml") + if unet_name is not None and unet_name.lower().startswith("kolors"): + return os.path.join(base_path, "configs", "kolors_config.yaml") + if vae_name is not None and vae_name.lower().startswith( + "sdxl/sdxl_vae.safetensors" + ): + return os.path.join(base_path, "configs", "kolors_config.yaml") + raise RuntimeError() def get_config_file_list(base_path=None) -> list: @@ -47,6 +50,36 @@ def get_filename_list(folder_name): return folder_names_and_paths[folder_name] +def recursive_extract_models(data: Any, prefix_path: Path = Path(".")) -> List[str]: + def extract_from_dict(d: dict, path: Path) -> List[str]: + results: List[str] = [] + for key, value in d.items(): + results.extend(recursive_extract_models(value, path / key)) + return results + + def extract_from_list(l: list, path: Path) -> List[str]: + results: List[str] = [] + for item in l: + results.extend(recursive_extract_models(item, path / str(item))) + return results + + if isinstance(data, dict): + return extract_from_dict(data, prefix_path) + elif isinstance(data, list): + return extract_from_list(data, prefix_path) + + if str(prefix_path) == ".": + return [] + else: + return [str(prefix_path)] + + +def load_json(file_path: str) -> dict: + with open(file_path, "r") as file: + data = json.load(file) + return data + + def init_config(): global folder_names_and_paths @@ -85,10 +118,19 @@ def init_config(): ] ) + models_file = os.path.join(base_path, "configs", "models.json") + models_data = load_json(models_file) + for k, v in models_data.items(): + if k not in folder_names_and_paths: + folder_names_and_paths[k] = [] + print(f"{k=} {recursive_extract_models(v)}") + folder_names_and_paths[k].extend(recursive_extract_models(v)) + init_config() if __name__ == "__main__": - print(f"Loaded config from {get_config_file_list()}") - configs = [load_yaml_config(x) for x in get_config_file_list()] - print(get_filename_list("clip_vision")) + # print(f"Loaded config from {get_config_file_list()}") + # configs = [load_yaml_config(x) for x in get_config_file_list()] + # print(get_filename_list("clip_vision")) + print(folder_names_and_paths) From ec8f0fd2d3d6552596ecbd8a49450d26e4250508 Mon Sep 17 00:00:00 2001 From: FengWen Date: Wed, 31 Jul 2024 17:51:32 +0800 Subject: [PATCH 05/22] refine --- src/bizyair/client.py | 10 ++++++---- src/bizyair/configs/kolors_config.yaml | 4 ++-- src/bizyair/configs/sdxl_config.yaml | 4 ++-- src/bizyair/image_utils.py | 16 +++++++++------- 4 files changed, 19 insertions(+), 15 deletions(-) diff --git a/src/bizyair/client.py b/src/bizyair/client.py index f5048c22..145216b4 100644 --- a/src/bizyair/client.py +++ b/src/bizyair/client.py @@ -6,13 +6,15 @@ class BaseClient: - def __init__(self, api_url, api_key=None): + def __init__(self, api_url, api_key: str = None): self.api_url = api_url - self.API_KEY = api_key + self.API_KEY: str = api_key def get_headers(self, sse=False): - if self.API_KEY is None: - raise ValueError("API key is not set. Please provide a valid API key.") + if self.API_KEY is None or not self.API_KEY.startswith("sk-"): + raise ValueError( + f"API key is not set. Please provide a valid API key, {self.API_KEY=}" + ) headers = { "accept": "application/json", diff --git a/src/bizyair/configs/kolors_config.yaml b/src/bizyair/configs/kolors_config.yaml index 71b5ba7f..567e0965 100644 --- a/src/bizyair/configs/kolors_config.yaml +++ b/src/bizyair/configs/kolors_config.yaml @@ -2,8 +2,8 @@ server_format: BizyAir_KSampler: KSampler service_config: - service_address: http://0.0.0.0:9911 - route: /supernode/bizyair-sdxl-comfy-ksampler + service_address: https://api.siliconflow.cn # http://0.0.0.0:9911 + route: /supernode/test-bizyair-sdxl-comfy-ksampler service_route: "{{ service_config.service_address }}{{ service_config.route }}" service_route: http://your-service-route-address diff --git a/src/bizyair/configs/sdxl_config.yaml b/src/bizyair/configs/sdxl_config.yaml index b306c69e..40d96dc9 100644 --- a/src/bizyair/configs/sdxl_config.yaml +++ b/src/bizyair/configs/sdxl_config.yaml @@ -1,7 +1,7 @@ service_config: - service_address: http://0.0.0.0:9911 # https://api.siliconflow.cn # http://0.0.0.0:9911 - route: /supernode/bizyair-sdxl-comfy-ksampler + service_address: https://api.siliconflow.cn # http://0.0.0.0:9911 + route: /supernode/test-bizyair-sdxl-comfy-ksampler service_route: "{{ service_config.service_address }}{{ service_config.route }}" server_format: diff --git a/src/bizyair/image_utils.py b/src/bizyair/image_utils.py index 09646077..d7e0a01f 100644 --- a/src/bizyair/image_utils.py +++ b/src/bizyair/image_utils.py @@ -41,10 +41,8 @@ def create_node_data(class_type: str, inputs: dict, outputs: dict): return out -def set_api_key(self, API_KEY="YOUR_API_KEY"): - # TODO - # BizyAirNodeIO.API_KEY = API_KEY - pass +def set_api_key(API_KEY="YOUR_API_KEY"): + BizyAirNodeIO.API_KEY = API_KEY class BizyAirNodeIO: @@ -200,8 +198,10 @@ def update_nodes_from_others(self, *others): self.nodes.update(other.nodes) def get_headers(self): - if self.API_KEY is None: - raise ValueError("API key is not set. Please provide a valid API key.") + if self.API_KEY is None or not self.API_KEY.startswith("sk-"): + raise ValueError( + f"API key is not set. Please provide a valid API key, {self.API_KEY=}" + ) return { "accept": "application/json", @@ -259,7 +259,9 @@ def send_request( # result = process_events(api_url, self.workflow_api, self.API_KEY) else: - client = BizyAirRequestClient(api_url, self.workflow_api, self.API_KEY) + client = BizyAirRequestClient( + api_url, self.workflow_api, BizyAirNodeIO.API_KEY + ) response_data = client.send_request() result = json.loads(response_data) if result is None: From fac67f22fac445616db24d32538453fb17f49749 Mon Sep 17 00:00:00 2001 From: FengWen Date: Wed, 31 Jul 2024 19:01:52 +0800 Subject: [PATCH 06/22] refine error print --- src/bizyair/configs/kolors_config.yaml | 2 +- src/bizyair/configs/sdxl_config.yaml | 2 +- src/bizyair/image_utils.py | 8 +++++++- 3 files changed, 9 insertions(+), 3 deletions(-) diff --git a/src/bizyair/configs/kolors_config.yaml b/src/bizyair/configs/kolors_config.yaml index 567e0965..aebfad47 100644 --- a/src/bizyair/configs/kolors_config.yaml +++ b/src/bizyair/configs/kolors_config.yaml @@ -2,7 +2,7 @@ server_format: BizyAir_KSampler: KSampler service_config: - service_address: https://api.siliconflow.cn # http://0.0.0.0:9911 + service_address: http://0.0.0.0:9911 # https://api.siliconflow.cn # http://0.0.0.0:9911 route: /supernode/test-bizyair-sdxl-comfy-ksampler service_route: "{{ service_config.service_address }}{{ service_config.route }}" diff --git a/src/bizyair/configs/sdxl_config.yaml b/src/bizyair/configs/sdxl_config.yaml index 40d96dc9..c98ad1f7 100644 --- a/src/bizyair/configs/sdxl_config.yaml +++ b/src/bizyair/configs/sdxl_config.yaml @@ -1,6 +1,6 @@ service_config: - service_address: https://api.siliconflow.cn # http://0.0.0.0:9911 + service_address: http://0.0.0.0:9911 # https://api.siliconflow.cn # http://0.0.0.0:9911 route: /supernode/test-bizyair-sdxl-comfy-ksampler service_route: "{{ service_config.service_address }}{{ service_config.route }}" diff --git a/src/bizyair/image_utils.py b/src/bizyair/image_utils.py index d7e0a01f..dd747297 100644 --- a/src/bizyair/image_utils.py +++ b/src/bizyair/image_utils.py @@ -264,6 +264,7 @@ def send_request( ) response_data = client.send_request() result = json.loads(response_data) + if result is None: raise RuntimeError("result is None") if "result" in result: # cloud @@ -272,7 +273,12 @@ def send_request( raise RuntimeError(f"{msg['error']}") out = msg["data"]["payload"] else: # local - out = result["data"]["payload"] + try: + out = result["data"]["payload"] + except Exception as e: + raise RuntimeError( + f'Unexpected error accessing result["data"]["payload"]. Result: {result}' + ) from e real_out = decode_data(out) return real_out[0] From 1c8825e62efc70923eb9cdab13e8b3a2e69ff7f0 Mon Sep 17 00:00:00 2001 From: FengWen Date: Wed, 31 Jul 2024 19:50:46 +0800 Subject: [PATCH 07/22] add kolors demo --- examples/bizyair_kolors_controlnet.json | 626 ++++++++++++++++++++++++ examples/bizyair_kolors_inpainting.json | 452 +++++++++++++++++ examples/bizyair_kolors_ipa.json | 570 +++++++++++++++++++++ showcase.py | 9 + src/bizyair/configs/kolors_config.yaml | 4 +- src/bizyair/image_utils.py | 11 +- 6 files changed, 1667 insertions(+), 5 deletions(-) create mode 100644 examples/bizyair_kolors_controlnet.json create mode 100644 examples/bizyair_kolors_inpainting.json create mode 100644 examples/bizyair_kolors_ipa.json diff --git a/examples/bizyair_kolors_controlnet.json b/examples/bizyair_kolors_controlnet.json new file mode 100644 index 00000000..b425de7a --- /dev/null +++ b/examples/bizyair_kolors_controlnet.json @@ -0,0 +1,626 @@ +{ + "last_node_id": 88, + "last_link_id": 148, + "nodes": [ + { + "id": 81, + "type": "BizyAir_MinusZoneChatGLM3TextEncode", + "pos": [ + 997, + 1526 + ], + "size": { + "0": 408.05731201171875, + "1": 76.00006103515625 + }, + "flags": {}, + "order": 0, + "mode": 0, + "outputs": [ + { + "name": "BIZYAIR_CONDITIONING", + "type": "BIZYAIR_CONDITIONING", + "links": [ + 133 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "BizyAir_MinusZoneChatGLM3TextEncode" + }, + "widgets_values": [ + "nsfw，脸部阴影，低分辨率，jpeg伪影、模糊、糟糕，黑脸，霓虹灯" + ] + }, + { + "id": 71, + "type": "BizyAir_ControlNetApplyAdvanced", + "pos": [ + 1481, + 1267 + ], + "size": { + "0": 386.8606872558594, + "1": 174.17922973632812 + }, + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [ + { + "name": "positive", + "type": "BIZYAIR_CONDITIONING", + "link": 132, + "slot_index": 0 + }, + { + "name": "negative", + "type": "BIZYAIR_CONDITIONING", + "link": 133 + }, + { + "name": "control_net", + "type": 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b/showcase.py index 397698ec..c0612884 100644 --- a/showcase.py +++ b/showcase.py @@ -52,6 +52,15 @@ "title": "Run BizyAir nodes with local nodes", "file": "bizyair_showcase_run_with_local_nodes.json", }, + { + "title": "Kolors ControlNet Canny", + "file": "bizyair_kolors_controlnet.json", + }, + {"title": "Kolors Inpainting", "file": "bizyair_kolors_inpainting.json"}, + { + "title": "Kolors IP-Adapter", + "file": "bizyair_kolors_ipa.json", + }, ] file_whitelist = [item["file"] for item in SHOW_CASES] diff --git a/src/bizyair/configs/kolors_config.yaml b/src/bizyair/configs/kolors_config.yaml index aebfad47..f2ef9ef5 100644 --- a/src/bizyair/configs/kolors_config.yaml +++ b/src/bizyair/configs/kolors_config.yaml @@ -2,8 +2,8 @@ server_format: BizyAir_KSampler: KSampler service_config: - service_address: http://0.0.0.0:9911 # https://api.siliconflow.cn # http://0.0.0.0:9911 - route: /supernode/test-bizyair-sdxl-comfy-ksampler + service_address: https://api.siliconflow.cn # http://0.0.0.0:9911 + route: /supernode/kolors-bizyair-sdxl-comfy-ksampler service_route: "{{ service_config.service_address }}{{ service_config.route }}" service_route: http://your-service-route-address diff --git a/src/bizyair/image_utils.py b/src/bizyair/image_utils.py index dd747297..eef4decb 100644 --- a/src/bizyair/image_utils.py +++ b/src/bizyair/image_utils.py @@ -267,11 +267,16 @@ def send_request( if result is None: raise RuntimeError("result is None") + if "result" in result: # cloud msg = json.loads(result["result"]) - if "error" in msg: - raise RuntimeError(f"{msg['error']}") - out = msg["data"]["payload"] + try: + out = msg["data"]["payload"] + except Exception as e: + raise RuntimeError( + f'Unexpected error accessing result["data"]["payload"]. Result: {msg}' + ) from e + else: # local try: out = result["data"]["payload"] From a019297a19559a1ad1b5793003e1b523bace66dc Mon Sep 17 00:00:00 2001 From: FengWen Date: Wed, 31 Jul 2024 19:55:50 +0800 Subject: [PATCH 08/22] refine --- src/bizyair/path_utils.py | 15 --------------- 1 file changed, 15 deletions(-) diff --git a/src/bizyair/path_utils.py b/src/bizyair/path_utils.py index 627155bd..62a1536f 100644 --- a/src/bizyair/path_utils.py +++ b/src/bizyair/path_utils.py @@ -103,21 +103,6 @@ def init_config(): else: folder_names_and_paths[folder_key].extend(inputs[key]) - if "unet" not in folder_names_and_paths: - folder_names_and_paths["unet"] = [] - folder_names_and_paths["unet"].extend( - ["kolors/kolors-unet.safetensors", "Kolors-Inpainting.safetensors"] - ) - - if "controlnet" not in folder_names_and_paths: - folder_names_and_paths["controlnet"] = [] - folder_names_and_paths["controlnet"].extend( - [ - "kolors/Kolors-ControlNet-Canny.safetensors", - "diffusion_pytorch_model_promax.safetensors", - ] - ) - models_file = os.path.join(base_path, "configs", "models.json") models_data = load_json(models_file) for k, v in models_data.items(): From 43b95d940ae7fc5f50cd34be6bb72785f1c4680e Mon Sep 17 00:00:00 2001 From: ccsuu Date: Wed, 31 Jul 2024 13:17:29 +0000 Subject: [PATCH 09/22] refine set API_KEY --- auth.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/auth.py b/auth.py index 8957eaae..d46bffdb 100644 --- a/auth.py +++ b/auth.py @@ -127,7 +127,7 @@ async def get_api_key(request): if api_key: API_KEY = api_key response = web.Response(text="ok") - + bizyair.set_api_key(API_KEY) return response else: return web.Response( From bdb2351b35dcf381aa45a939cb658a3bcd313e8a Mon Sep 17 00:00:00 2001 From: Yao Chi Date: Wed, 31 Jul 2024 22:54:41 +0800 Subject: [PATCH 10/22] refine examples json --- examples/bizyair_kolors_controlnet.json | 549 ++++++++++++------------ examples/bizyair_kolors_inpainting.json | 451 ++++++++++++------- examples/bizyair_kolors_ipa.json | 456 +++++++++++--------- showcase.py | 2 +- 4 files changed, 846 insertions(+), 612 deletions(-) diff --git a/examples/bizyair_kolors_controlnet.json b/examples/bizyair_kolors_controlnet.json index b425de7a..421b47a5 100644 --- a/examples/bizyair_kolors_controlnet.json +++ b/examples/bizyair_kolors_controlnet.json @@ -1,107 +1,7 @@ { - "last_node_id": 88, - "last_link_id": 148, + "last_node_id": 91, + "last_link_id": 151, "nodes": [ - { - "id": 81, - "type": "BizyAir_MinusZoneChatGLM3TextEncode", - "pos": [ - 997, - 1526 - ], - "size": { - "0": 408.05731201171875, - "1": 76.00006103515625 - }, - "flags": {}, - "order": 0, - "mode": 0, - "outputs": [ - { - "name": "BIZYAIR_CONDITIONING", - "type": "BIZYAIR_CONDITIONING", - "links": [ - 133 - ], - "shape": 3, - "slot_index": 0 - } - ], - "properties": { - "Node name for S&R": "BizyAir_MinusZoneChatGLM3TextEncode" - }, - "widgets_values": [ - "nsfw，脸部阴影，低分辨率，jpeg伪影、模糊、糟糕，黑脸，霓虹灯" - ] - }, - { - "id": 71, - "type": "BizyAir_ControlNetApplyAdvanced", - "pos": [ - 1481, - 1267 - ], - "size": { - "0": 386.8606872558594, - "1": 174.17922973632812 - }, - "flags": {}, - "order": 8, - "mode": 0, - "inputs": [ - { - "name": "positive", - "type": "BIZYAIR_CONDITIONING", - "link": 132, - "slot_index": 0 - }, - { - "name": "negative", - "type": "BIZYAIR_CONDITIONING", - "link": 133 - }, - { - "name": "control_net", - "type": "BIZYAIR_CONTROL_NET", - "link": 141, - "slot_index": 2 - }, - { - "name": "image", - "type": "IMAGE", - "link": 147, - "slot_index": 3 - } - ], - "outputs": [ - { - "name": "positive", - "type": "BIZYAIR_CONDITIONING", - "links": [ - 142 - ], - "shape": 3, - "slot_index": 0 - }, - { - "name": "negative", - "type": "BIZYAIR_CONDITIONING", - "links": [ - 143 - ], - "shape": 3, - "slot_index": 1 - } - ], - "properties": { - "Node name for S&R": "BizyAir_ControlNetApplyAdvanced" - }, - "widgets_values": [ - 0.7000000000000001, - 0, - 1 - ] - }, { "id": 73, "type": "BizyAir_KSampler", @@ -114,7 +14,7 @@ "1": 262 }, "flags": {}, - "order": 10, + "order": 11, "mode": 0, "inputs": [ { @@ -164,261 +64,366 @@ ] }, { - "id": 75, - "type": "BizyAir_VAELoader", + "id": 76, + "type": "BizyAir_VAEDecode", "pos": [ - 999, - 1650 + 2256, + 1282 + ], + "size": [ + 503.94573135312385, + 46 ], - "size": { - "0": 403.3641662597656, - "1": 58 - }, "flags": {}, - "order": 1, + "order": 12, "mode": 0, - 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2249, - 1409 + 1081, + 1377 ], "size": [ - 520.6081220138167, - 565.2921889123836 + 389.3432087656254, + 76 ], "flags": {}, - "order": 12, + "order": 2, "mode": 0, - "inputs": [ + "outputs": [ { - "name": "images", - "type": "IMAGE", - "link": 145 + "name": "BIZYAIR_CONDITIONING", + "type": "BIZYAIR_CONDITIONING", + "links": [ + 132 + ], + "shape": 3, + "slot_index": 0 } ], "properties": { - "Node name for S&R": "PreviewImage" - } + "Node name for S&R": "BizyAir_MinusZoneChatGLM3TextEncode" + }, + "widgets_values": [ + "宇宙飞船在烈火中飞向太空" + ] }, { - "id": 76, - "type": "BizyAir_VAEDecode", + "id": 81, + "type": "BizyAir_MinusZoneChatGLM3TextEncode", "pos": [ - 2277, - 1288 + 1083, + 1504 ], "size": [ - 479.59502319335934, - 46 + 379.91404509375025, + 76 ], "flags": {}, - "order": 11, + "order": 3, "mode": 0, - "inputs": [ - { - "name": "samples", - "type": "LATENT", - "link": 130 - }, + "outputs": [ { - "name": "vae", - "type": "BIZYAIR_VAE", - "link": 129 + "name": "BIZYAIR_CONDITIONING", + "type": "BIZYAIR_CONDITIONING", + "links": [ + 133 + ], + "shape": 3, + "slot_index": 0 } ], + "properties": { + "Node name for S&R": "BizyAir_MinusZoneChatGLM3TextEncode" + }, + "widgets_values": [ + "nsfw，脸部阴影，低分辨率，jpeg伪影、模糊、糟糕，黑脸，霓虹灯" + ] + }, + { + "id": 75, + "type": "BizyAir_VAELoader", + "pos": [ + 1084, + 1628 + ], + "size": [ + 374.6246896250004, + 58 + ], + "flags": {}, + "order": 4, + "mode": 0, "outputs": [ { - "name": "IMAGE", - "type": "IMAGE", + "name": "vae", + "type": "BIZYAIR_VAE", "links": [ - 145 + 129 ], "shape": 3, "slot_index": 0 } ], "properties": { - "Node name for S&R": "BizyAir_VAEDecode" - } + "Node name for S&R": "BizyAir_VAELoader" + }, + "widgets_values": [ + "sdxl/sdxl_vae.safetensors" + ] }, { - "id": 88, + "id": 86, "type": "PreviewImage", "pos": [ - 1932, - 1739 + 2267, + 1378 ], "size": [ - 288.78471246337904, - 216.74874255371083 + 494.58218337499875, + 545.8929832179654 ], "flags": {}, - "order": 9, + "order": 13, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", - "link": 148 + "link": 145 } ], "properties": { @@ -426,57 +431,48 @@ } }, { - "id": 64, - "type": "LoadImage", + "id": 70, + "type": "BizyAir_MZ_KolorsUNETLoaderV2", "pos": [ - 1483, - 1650 - ], - "size": [ - 378.1456521807861, - 300.88449047607423 + 1073, + 1272 ], + "size": { + "0": 398.9453430175781, + "1": 58 + }, "flags": {}, "order": 5, "mode": 0, "outputs": [ { - "name": "IMAGE", - "type": "IMAGE", + "name": "model", + "type": "BIZYAIR_MODEL", "links": [ - 146 + 125 ], "shape": 3, - "label": "图像", "slot_index": 0 - }, - { - "name": "MASK", - "type": "MASK", - "links": null, - "shape": 3, - "label": "遮罩" } ], "properties": { - "Node name for S&R": "LoadImage" + "Node name for S&R": "BizyAir_MZ_KolorsUNETLoaderV2" }, "widgets_values": [ - "example.png", - "image" + "kolors/Kolors.safetensors" ] }, { "id": 84, "type": "BizyAir_MZ_KolorsControlNetLoader", "pos": [ - 1014, - 1774 + 1089, + 1742 + ], + "size": [ + 366.3647794687504, + 58 ], - "size": { - "0": 383.1509094238281, - "1": 58 - }, "flags": {}, "order": 6, "mode": 0, @@ -495,8 +491,31 @@ "Node name for S&R": "BizyAir_MZ_KolorsControlNetLoader" }, "widgets_values": [ - "kolors/Kolors-ControlNet-Canny.safetensors" + "kolors/Kolors-ControlNet-Depth.safetensors" ] + }, + { + "id": 91, + "type": "Note", + "pos": [ + 1073, + 1146 + ], + "size": [ + 485.88076725000064, + 65.17527988984284 + ], + "flags": {}, + "order": 7, + "mode": 0, + "properties": { + "text": "" + }, + "widgets_values": [ + "ControlNet 可以更精确地控制构图。本例展示了 Kolors Depth ControlNet。\n除了 Depth Controlnet 外，你还可以在下拉菜单中，选择其它的 ControlNet。\nSDXL 的 ControlNet，也可以应用于 Kolors 模型。" + ], + "color": "#432", + "bgcolor": "#653" } ], "links": [ @@ -581,27 +600,27 @@ "IMAGE" ], [ - 146, - 64, + 149, + 90, 0, - 87, + 89, 0, "IMAGE" ], [ - 147, - 87, + 150, + 89, + 0, + 88, 0, - 71, - 3, "IMAGE" ], [ - 148, - 87, - 0, - 88, + 151, + 89, 0, + 71, + 3, "IMAGE" ] ], @@ -609,10 +628,10 @@ "config": {}, "extra": { "ds": { - "scale": 0.6830134553650711, + "scale": 0.5644739300537776, "offset": { - "0": -973.8326416015625, - "1": -1183.8857421875 + "0": -660.5678572070321, + "1": -897.6366635304679 } }, "workspace_info": { diff --git a/examples/bizyair_kolors_inpainting.json b/examples/bizyair_kolors_inpainting.json index 09a2e0e5..265a9436 100644 --- a/examples/bizyair_kolors_inpainting.json +++ b/examples/bizyair_kolors_inpainting.json @@ -1,6 +1,6 @@ { - "last_node_id": 35, - "last_link_id": 45, + "last_node_id": 42, + "last_link_id": 53, "nodes": [ { "id": 28, @@ -9,12 +9,12 @@ 1021, 927 ], - "size": [ - 350.9411471142612, - 267.58579465664025 - ], + "size": { + "0": 350.941162109375, + "1": 267.5857849121094 + }, "flags": {}, - "order": 6, + "order": 10, "mode": 0, "inputs": [ { @@ -69,10 +69,10 @@ 1025, 816 ], - 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"name": "mask", + "name": "MASK", "type": "MASK", - "link": 29 + "links": [ + 47 + ], + "shape": 3, + "slot_index": 1 } ], + "properties": { + "Node name for S&R": "BizyAirRemoveBackground" + } + }, + { + "id": 27, + "type": "BizyAir_VAELoader", + "pos": [ + 593, + 801 + ], + "size": { + "0": 407.9100646972656, + "1": 63.83865737915039 + }, + "flags": {}, + "order": 1, + "mode": 0, "outputs": [ { - "name": "LATENT", - "type": "LATENT", + "name": "vae", + "type": "BIZYAIR_VAE", "links": [ - 45 + 30, + 36 ], "shape": 3, "slot_index": 0 } ], "properties": { - "Node name for S&R": "BizyAir_VAEEncodeForInpaint" + "Node name for S&R": "BizyAir_VAELoader" }, "widgets_values": [ - 0 + "sdxl/sdxl_vae.safetensors" ] }, { "id": 29, "type": "BizyAir_MinusZoneChatGLM3TextEncode", "pos": [ - 587, - 942 - ], - "size": [ - 407.52370605468764, - 126.94926452636719 + 595, + 927 ], + "size": { + "0": 407.5237121582031, + "1": 126.94926452636719 + }, "flags": {}, "order": 2, "mode": 0, @@ -213,12 +349,12 @@ "type": "BizyAir_MinusZoneChatGLM3TextEncode", "pos": [ 595, - 1117 - ], - "size": [ - 406.75458984374995, - 76 + 1107 ], + "size": { + "0": 406.75457763671875, + "1": 76 + }, "flags": {}, "order": 3, "mode": 0, @@ -241,16 +377,16 @@ ] }, { - "id": 33, + "id": 39, "type": "PreviewImage", "pos": [ - 1415, - 905 - ], - "size": [ - 392.5175018310547, - 440.3509521484375 + 1418, + 927 ], + "size": { + "0": 387.0735168457031, + "1": 420.3405456542969 + }, "flags": {}, "order": 8, "mode": 0, @@ -258,7 +394,7 @@ { "name": "images", "type": "IMAGE", - "link": 37 + "link": 51 } ], "properties": { @@ -266,109 +402,92 @@ } }, { - "id": 32, - "type": "BizyAir_VAEDecode", + "id": 41, + "type": "PreviewImage", "pos": [ - 1415, - 813 - ], - "size": [ - 371.14935376104927, - 46 + 1821, + 934 ], + "size": { + "0": 387.0735168457031, + "1": 420.3405456542969 + }, "flags": {}, - "order": 7, + "order": 12, "mode": 0, "inputs": [ { - "name": "samples", - "type": "LATENT", - "link": 35 - }, - { - "name": "vae", - "type": "BIZYAIR_VAE", - "link": 36, - "slot_index": 1 - } - ], - "outputs": [ - { - "name": "IMAGE", + "name": "images", "type": "IMAGE", - "links": [ - 37 - ], - "shape": 3, + "link": 53, "slot_index": 0 } ], "properties": { - "Node name for S&R": "BizyAir_VAEDecode" + "Node name for S&R": "PreviewImage" } }, { - "id": 21, - "type": "LoadImage", + "id": 38, + "type": "BizyAirSiliconCloudLLMAPI", "pos": [ - 275, - 825 - ], - "size": [ - 298.87584164373663, - 385.88618378671435 + 168, + 786 ], + "size": { + "0": 400, + "1": 248 + }, "flags": {}, "order": 4, "mode": 0, "outputs": [ { - "name": "IMAGE", - "type": "IMAGE", + "name": "STRING", + "type": "STRING", "links": [ - 28 + 49 ], - "shape": 3, - "label": "图像", - "slot_index": 0 - }, - { - "name": "MASK", - "type": "MASK", - "links": [ - 29 - ], - "shape": 3, - "label": "遮罩", - "slot_index": 1 + "shape": 3 } ], "properties": { - "Node name for S&R": "LoadImage" + "Node name for S&R": "BizyAirSiliconCloudLLMAPI" }, "widgets_values": [ - "clipspace/clipspace-mask-49994.90000009537.png [input]", - "image" + "(Free)GLM4 9B Chat", + "你是一个 stable diffusion prompt 专家，为我生成适用于 Stable Diffusion 模型的prompt。\n我给你相关的单词，你帮我扩写为适合 Stable Diffusion 文生图的 prompt。要求：\n1. 英文输出\n2. 除了 prompt 外，不要输出任何其它的信息\n", + "一个开朗的女孩", + 512, + 0, + "\nA cheerful girl, with a bright smile, surrounded by a colorful garden, in a sunny day, wearing casual clothes, holding a flower, with a playful and joyful expression, in a high-resolution, vibrant and detailed illustration style." ] + }, + { + "id": 42, + "type": "Note", + "pos": [ + 176, + 661 + ], + "size": [ + 609.0453628486487, + 64.54571526875202 + ], + "flags": {}, + "order": 5, + "mode": 0, + "properties": { + "text": "" + }, + "widgets_values": [ + "Kolors-Inpainting 模型可以做局部重绘。\n本例子中，使用 BizyAir 的节点生成了一张原始图片，然后使用 BizyAir 的抠图节点得到其人物的 mask。\n然后利用 Kolors Inpainting 模型将其重绘为美少女战士。" + ], + "color": "#432", + "bgcolor": "#653" } ], "links": [ - [ - 28, - 21, - 0, - 26, - 0, - "IMAGE" - ], - [ - 29, - 21, - 1, - 26, - 2, - "MASK" - ], [ 30, 27, @@ -401,14 +520,6 @@ 1, "BIZYAIR_VAE" ], - [ - 37, - 32, - 0, - 33, - 0, - "IMAGE" - ], [ 43, 29, @@ -432,6 +543,54 @@ 28, 3, "LATENT" + ], + [ + 47, + 36, + 1, + 26, + 2, + "MASK" + ], + [ + 48, + 37, + 0, + 36, + 0, + "IMAGE" + ], + [ + 49, + 38, + 0, + 37, + 0, + "STRING" + ], + [ + 50, + 37, + 0, + 26, + 0, + "IMAGE" + ], + [ + 51, + 37, + 0, + 39, + 0, + "IMAGE" + ], + [ + 53, + 32, + 0, + 41, + 0, + "IMAGE" ] ], "groups": [], @@ -441,10 +600,10 @@ "id": "TKSZ5XMzonRsm7MzObd2l" }, "ds": { - "scale": 0.8264462809917354, + "scale": 0.5131581182307067, "offset": { - "0": -3.2640974521636963, - "1": -469.42144775390625 + "0": 201.30997679822647, + "1": -382.13761162695516 } } }, diff --git a/examples/bizyair_kolors_ipa.json b/examples/bizyair_kolors_ipa.json index efb6f5f3..686f79e9 100644 --- a/examples/bizyair_kolors_ipa.json +++ b/examples/bizyair_kolors_ipa.json @@ -1,6 +1,6 @@ { - "last_node_id": 67, - "last_link_id": 94, + "last_node_id": 71, + "last_link_id": 97, "nodes": [ { "id": 52, @@ -9,12 +9,12 @@ 1337, 973 ], - "size": [ - 346.7946399026664, - 308.3153328383264 - ], + "size": { + "0": 346.7946472167969, + "1": 308.3153381347656 + }, "flags": {}, - "order": 9, + "order": 11, "mode": 0, "inputs": [ { @@ -66,260 +66,294 @@ ] }, { - "id": 48, - "type": "BizyAir_MinusZoneChatGLM3TextEncode", + "id": 51, + "type": "BizyAir_MZ_KolorsUNETLoaderV2", "pos": [ - 875, - 1178 - ], - "size": [ - 406.0690460205078, - 123.93048095703125 + 504, + 1068 ], + "size": { + "0": 336, + "1": 58 + }, "flags": {}, "order": 0, "mode": 0, "outputs": [ { - "name": "BIZYAIR_CONDITIONING", - "type": "BIZYAIR_CONDITIONING", + "name": "model", + "type": "BIZYAIR_MODEL", "links": [ - 92 + 76 ], "shape": 3, "slot_index": 0 } ], "properties": { - "Node name for S&R": "BizyAir_MinusZoneChatGLM3TextEncode" + "Node name for S&R": "BizyAir_MZ_KolorsUNETLoaderV2" }, "widgets_values": [ - "真实的照片,20岁女生,红色外套,城市夜景" + "kolors/Kolors.safetensors" ] }, { - "id": 67, - "type": "EmptyLatentImage", + "id": 54, + "type": "BizyAir_CLIPVisionLoader", "pos": [ - 1347, - 1385 + 500, + 951 ], "size": { - "0": 315, - "1": 106 + "0": 331.6002197265625, + "1": 60.51792526245117 }, "flags": {}, "order": 1, "mode": 0, "outputs": [ { - "name": "LATENT", - "type": "LATENT", + "name": "CLIP_VISION", + "type": "CLIP_VISION", "links": [ - 94 + 81 ], - "shape": 3 + "shape": 3, + "slot_index": 0 } ], "properties": { - "Node name for S&R": "EmptyLatentImage" + "Node name for S&R": "BizyAir_CLIPVisionLoader" }, "widgets_values": [ - 768, - 1024, - 1 + "kolors/pytorch_model.bin" ] }, { - "id": 62, - "type": "PreviewImage", - "pos": [ - 1743, - 1021 - ], - "size": [ - 328.3016020834309, - 454.8408399849882 - ], - "flags": {}, - "order": 11, - "mode": 0, - "inputs": [ - { - "name": "images", - "type": "IMAGE", - "link": 86 - } - ], - "properties": { - "Node name for S&R": "PreviewImage" - } - }, - { - "id": 53, - "type": "BizyAir_MinusZoneChatGLM3TextEncode", + "id": 50, + "type": "BizyAir_VAELoader", "pos": [ - 877, - 1368 - ], - "size": [ - 416.0996861510621, - 118.98899756298829 + 504, + 826 ], + "size": { + "0": 324.6021728515625, + "1": 58 + }, "flags": {}, "order": 2, "mode": 0, "outputs": [ { - "name": "BIZYAIR_CONDITIONING", - "type": "BIZYAIR_CONDITIONING", + "name": "vae", + "type": "BIZYAIR_VAE", "links": [ - 93 + 84 ], "shape": 3, "slot_index": 0 } ], "properties": { - "Node name for S&R": "BizyAir_MinusZoneChatGLM3TextEncode" + "Node name for S&R": "BizyAir_VAELoader" }, "widgets_values": [ - "" + "sdxl/sdxl_vae.safetensors" ] }, { - "id": 51, - "type": "BizyAir_MZ_KolorsUNETLoaderV2", + "id": 68, + "type": "BizyAirGenerateLightningImage", "pos": [ - 504, - 1068 - ], - "size": [ - 336, - 58 + 507, + 1183 ], + "size": { + "0": 336, + "1": 220.00003051757812 + }, "flags": {}, "order": 3, "mode": 0, "outputs": [ { - "name": "model", - "type": "BIZYAIR_MODEL", + "name": "IMAGE", + "type": "IMAGE", "links": [ - 76 + 95, + 96 ], "shape": 3, "slot_index": 0 } ], "properties": { - "Node name for S&R": "BizyAir_MZ_KolorsUNETLoaderV2" + "Node name for S&R": "BizyAirGenerateLightningImage" }, "widgets_values": [ - "kolors/Kolors.safetensors" + "a very beautiful flower", + 1, + "fixed", + 1024, + 1024, + 1.5, + 1 ] }, { - "id": 54, - "type": "BizyAir_CLIPVisionLoader", + "id": 58, + "type": "BizyAir_IPAdapterModelLoader", "pos": [ - 500, - 951 - ], - "size": [ - 331.60021789550706, - 60.51792541503869 + 1336, + 841 ], + "size": { + "0": 365.2294616699219, + "1": 73.92222595214844 + }, "flags": {}, "order": 4, "mode": 0, "outputs": [ { - "name": "CLIP_VISION", - "type": "CLIP_VISION", + "name": "IPADAPTER", + "type": "IPADAPTER", "links": [ - 81 + 83 ], "shape": 3, "slot_index": 0 } ], "properties": { - "Node name for S&R": "BizyAir_CLIPVisionLoader" + "Node name for S&R": "BizyAir_IPAdapterModelLoader" }, "widgets_values": [ - "kolors/pytorch_model.bin" + "kolors/ip_adapter_plus_general.bin" ] }, { - "id": 50, - "type": "BizyAir_VAELoader", + "id": 69, + "type": "PreviewImage", "pos": [ - 504, - 826 + 1726, + 1032 ], - "size": [ - 324.60217102050706, - 58 + "size": { + "0": 331.33270263671875, + "1": 338.9947509765625 + }, + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 96 + } + ], + "properties": { + "Node name for S&R": "PreviewImage" + } + }, + { + "id": 61, + "type": "BizyAir_VAEDecode", + "pos": [ + 1733, + 849 ], + "size": { + "0": 318.7030029296875, + "1": 50.580413818359375 + }, "flags": {}, - "order": 5, + "order": 12, "mode": 0, - "outputs": [ + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 85 + }, { "name": "vae", "type": "BIZYAIR_VAE", + "link": 84 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", "links": [ - 84 + 97 ], "shape": 3, "slot_index": 0 } ], "properties": { - "Node name for S&R": "BizyAir_VAELoader" - }, - "widgets_values": [ - "sdxl/sdxl_vae.safetensors" - ] + "Node name for S&R": "BizyAir_VAEDecode" + } }, { - "id": 60, - "type": "LoadImage", + "id": 70, + "type": "PreviewImage", "pos": [ - 510, - 1178 + 2075, + 1033 ], - "size": [ - 327.4198687744133, - 405.15208923339765 + "size": { + "0": 331.33270263671875, + "1": 338.9947509765625 + }, + "flags": {}, + "order": 13, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 97 + } + ], + "properties": { + "Node name for S&R": "PreviewImage" + } + }, + { + "id": 67, + "type": "EmptyLatentImage", + "pos": [ + 1347, + 1337 ], + "size": { + "0": 315, + "1": 106 + }, "flags": {}, - "order": 6, + "order": 5, "mode": 0, "outputs": [ { - "name": "IMAGE", - "type": "IMAGE", + "name": "LATENT", + "type": "LATENT", "links": [ - 82 + 94 ], - "shape": 3, - "slot_index": 0 - }, - { - "name": "MASK", - "type": "MASK", - "links": null, "shape": 3 } ], "properties": { - "Node name for S&R": "LoadImage" + "Node name for S&R": "EmptyLatentImage" }, "widgets_values": [ - "test_ipa.png", - "image" + 1024, + 1024, + 1 ] }, { @@ -329,12 +363,12 @@ 878, 829 ], - "size": [ - 395.6674041748047, - 278 - ], + "size": { + "0": 395.66741943359375, + "1": 278 + }, "flags": {}, - "order": 8, + "order": 10, "mode": 0, "inputs": [ { @@ -350,7 +384,7 @@ { "name": "image", "type": "IMAGE", - "link": 82 + "link": 95 }, { "name": "image_negative", @@ -383,7 +417,7 @@ "Node name for S&R": "BizyAir_IPAdapterAdvanced" }, "widgets_values": [ - 0.7000000000000001, + 0.6, "linear", "concat", 0, @@ -392,77 +426,91 @@ ] }, { - "id": 58, - "type": "BizyAir_IPAdapterModelLoader", + "id": 48, + "type": "BizyAir_MinusZoneChatGLM3TextEncode", "pos": [ - 1345, - 824 - ], - "size": [ - 365.2294677734376, - 73.9222229003907 + 875, + 1178 ], + "size": { + "0": 406.06903076171875, + "1": 123.93048095703125 + }, "flags": {}, - "order": 7, + "order": 6, "mode": 0, "outputs": [ { - "name": "IPADAPTER", - "type": "IPADAPTER", + "name": "BIZYAIR_CONDITIONING", + "type": "BIZYAIR_CONDITIONING", "links": [ - 83 + 92 ], "shape": 3, "slot_index": 0 } ], "properties": { - "Node name for S&R": "BizyAir_IPAdapterModelLoader" + "Node name for S&R": "BizyAir_MinusZoneChatGLM3TextEncode" }, "widgets_values": [ - "kolors/ip_adapter_plus_general.bin" + "一只开心的狗正在跳跃" ] }, { - "id": 61, - "type": "BizyAir_VAEDecode", + "id": 53, + "type": "BizyAir_MinusZoneChatGLM3TextEncode", "pos": [ - 1761, - 830 - ], - "size": [ - 318.7029905090335, - 50.58041543579111 + 877, + 1356 ], + "size": { + "0": 416.0997009277344, + "1": 118.98899841308594 + }, "flags": {}, - "order": 10, + "order": 7, "mode": 0, - "inputs": [ - { - "name": "samples", - "type": "LATENT", - "link": 85 - }, - { - "name": "vae", - "type": "BIZYAIR_VAE", - "link": 84 - } - ], "outputs": [ { - "name": "IMAGE", - "type": "IMAGE", + "name": "BIZYAIR_CONDITIONING", + "type": "BIZYAIR_CONDITIONING", "links": [ - 86 + 93 ], "shape": 3, "slot_index": 0 } ], "properties": { - "Node name for S&R": "BizyAir_VAEDecode" - } + "Node name for S&R": "BizyAir_MinusZoneChatGLM3TextEncode" + }, + "widgets_values": [ + "花" + ] + }, + { + "id": 71, + "type": "Note", + "pos": [ + 517, + 707 + ], + "size": [ + 775.910428276944, + 64.41963966035382 + ], + "flags": {}, + "order": 8, + "mode": 0, + "properties": { + "text": "" + }, + "widgets_values": [ + "IPAdapter 可以将图片作为 Image prompt 影响出图的效果。常用于风格转换、人脸变换、构图控制等。" + ], + "color": "#432", + "bgcolor": "#653" } ], "links": [ @@ -490,14 +538,6 @@ 5, "CLIP_VISION" ], - [ - 82, - 60, - 0, - 59, - 2, - "IMAGE" - ], [ 83, 58, @@ -522,14 +562,6 @@ 0, "LATENT" ], - [ - 86, - 61, - 0, - 62, - 0, - "IMAGE" - ], [ 92, 48, @@ -553,16 +585,40 @@ 52, 3, "LATENT" + ], + [ + 95, + 68, + 0, + 59, + 2, + "IMAGE" + ], + [ + 96, + 68, + 0, + 69, + 0, + "IMAGE" + ], + [ + 97, + 61, + 0, + 70, + 0, + "IMAGE" ] ], "groups": [], "config": {}, "extra": { "ds": { - "scale": 0.7513148009015783, + "scale": 0.5131581182307069, "offset": { - "0": -308.8585205078125, - "1": -456.4095458984375 + "0": -53.98534358241278, + "1": -463.78672483574496 } } }, diff --git a/showcase.py b/showcase.py index c0612884..3c550508 100644 --- a/showcase.py +++ b/showcase.py @@ -53,7 +53,7 @@ "file": "bizyair_showcase_run_with_local_nodes.json", }, { - "title": "Kolors ControlNet Canny", + "title": "Kolors ControlNet Depth", "file": "bizyair_kolors_controlnet.json", }, {"title": "Kolors Inpainting", "file": "bizyair_kolors_inpainting.json"}, From de0de5395f303c0bc65c2d20f28f50bf28a426ac Mon Sep 17 00:00:00 2001 From: FengWen Date: Thu, 1 Aug 2024 10:12:49 +0800 Subject: [PATCH 11/22] refine routing --- .gitignore | 1 - api_key.ini | 2 +- auth.py | 37 +- src/bizyair/configs/kolors_config.yaml | 590 +++++++++++++++++++++++-- src/bizyair/configs/models.json | 26 +- src/bizyair/configs/models.json.backup | 70 +++ src/bizyair/configs/sdxl_config.yaml | 4 +- src/bizyair/image_utils.py | 9 +- src/bizyair/path_utils.py | 21 - 9 files changed, 663 insertions(+), 97 deletions(-) create mode 100644 src/bizyair/configs/models.json.backup diff --git a/.gitignore b/.gitignore index 8053745c..48e0f7ca 100644 --- a/.gitignore +++ b/.gitignore @@ -5,4 +5,3 @@ __pycache__/ .idea/ venv/ *.log - diff --git a/api_key.ini b/api_key.ini index b0b075b9..987db96f 100644 --- a/api_key.ini +++ b/api_key.ini @@ -1,2 +1,2 @@ [auth] -# api_key = \ No newline at end of file +# api_key= \ No newline at end of file diff --git a/auth.py b/auth.py index d46bffdb..3dace696 100644 --- a/auth.py +++ b/auth.py @@ -85,6 +85,25 @@ """ +def load_api_key(): + current_directory = os.path.dirname(os.path.abspath(__file__)) + file_path = os.path.join(current_directory, "api_key.ini") + + if os.path.exists(file_path): + config = configparser.ConfigParser() + config.read(file_path) + api_key: str = config.get("auth", "api_key", fallback="").strip().strip("'\"") + has_key = api_key.startswith("sk-") + return has_key, api_key + else: + return False, "" + + +has_key, api_key = load_api_key() +if has_key: + API_KEY = api_key + + @server.PromptServer.instance.routes.get("/bizyair/set-api-key") async def set_api_key_page(request): return web.Response(text=set_api_key_html, content_type="text/html") @@ -93,6 +112,11 @@ async def set_api_key_page(request): @server.PromptServer.instance.routes.post("/bizyair/set_api_key") async def set_api_key(request): global API_KEY + has_key, api_key = load_api_key() + if has_key: + API_KEY = api_key + bizyair.set_api_key(API_KEY) + return web.Response(text="Key has been loaded from the api_key.ini file") data = await request.post() api_key = data.get("api_key") try: @@ -114,13 +138,12 @@ async def set_api_key(request): @server.PromptServer.instance.routes.get("/bizyair/get_api_key") async def get_api_key(request): global API_KEY - api_key = "" - current_directory = os.path.dirname(os.path.abspath(__file__)) - file_path = os.path.join(current_directory, "api_key.ini") - if os.path.exists(file_path): - config = configparser.ConfigParser() - config.read(file_path) - api_key = config.get("auth", "api_key", fallback="").strip() + has_key, api_key = load_api_key() + if has_key: + API_KEY = api_key + bizyair.set_api_key(API_KEY) + return web.Response(text="Key has been loaded from the api_key.ini file") + if api_key == "": api_key = request.cookies.get("api_key") try: diff --git a/src/bizyair/configs/kolors_config.yaml b/src/bizyair/configs/kolors_config.yaml index f2ef9ef5..11be6f6b 100644 --- a/src/bizyair/configs/kolors_config.yaml +++ b/src/bizyair/configs/kolors_config.yaml @@ -9,54 +9,570 @@ service_config: service_route: http://your-service-route-address class_types: + CLIPLoader: + max_instances: 1 + node_ids: + - 73 + CLIPSetLastLayer: + max_instances: 2 + node_ids: + - 5 + - 6 CLIPTextEncode: max_instances: 2 - node_ids: [3, 4] - VAEDecode: + node_ids: + - 3 + - 4 + CLIPVisionEncode: + max_instances: 2 + node_ids: + - 76 + - 77 + CLIPVisionLoader: max_instances: 1 - node_ids: [5] - VAEEncode: + node_ids: + - 89 + CheckpointLoader: max_instances: 1 - node_ids: [6] - VAEEncodeForInpaint: + node_ids: + - 100 + CheckpointLoaderSimple: max_instances: 1 - node_ids: [7] - KSampler: + node_ids: + - 2 + ComfyAirLoadData: + max_instances: 20 + node_ids: + - 201 + - 202 + - 203 + - 204 + - 205 + - 206 + - 207 + - 208 + - 209 + - 210 + - 211 + - 212 + - 213 + - 214 + - 215 + - 216 + - 217 + - 218 + - 219 + - 220 + ConditioningAverage: + max_instances: 2 + node_ids: + - 44 + - 45 + ConditioningCombine: + max_instances: 2 + node_ids: + - 46 + - 47 + ConditioningConcat: + max_instances: 2 + node_ids: + - 48 + - 49 + ConditioningSetArea: + max_instances: 2 + node_ids: + - 50 + - 51 + ConditioningSetAreaPercentage: + max_instances: 2 + node_ids: + - 52 + - 53 + ConditioningSetAreaStrength: + max_instances: 2 + node_ids: + - 54 + - 55 + ConditioningSetMask: + max_instances: 2 + node_ids: + - 56 + - 57 + ConditioningSetTimestepRange: + max_instances: 2 + node_ids: + - 108 + - 109 + ConditioningZeroOut: + max_instances: 2 + node_ids: + - 106 + - 107 + ControlNetApply: + max_instances: 2 + node_ids: + - 82 + - 83 + ControlNetApplyAdvanced: + max_instances: 2 + node_ids: + - 84 + - 85 + ControlNetLoader: max_instances: 1 - node_ids: [10] - steps: [1, 30] - IPAdapterUnifiedLoader: + node_ids: + - 86 + DiffControlNetLoader: max_instances: 1 - node_ids: [11] - inputs: - preset: - - "PLUS (high strength)" - IPAdapter: + node_ids: + - 87 + DiffusersLoader: max_instances: 1 - node_ids: [12] - IPAdapterAdvanced: + node_ids: + - 101 + DualCLIPLoader: max_instances: 1 - node_ids: [13] - CLIPVisionLoader: + node_ids: + - 75 + EmptyImage: + max_instances: 2 + node_ids: + - 42 + - 43 + EmptyLatentImage: + max_instances: 2 + node_ids: + - 14 + - 15 + GLIGENLoader: max_instances: 1 - node_ids: [14] - inputs: - clip_name: - - "kolors/pytorch_model.bin" + node_ids: + - 95 + GLIGENTextBoxApply: + max_instances: 2 + node_ids: + - 96 + - 97 + IPAAdapterFaceIDBatch: + max_instances: 2 + node_ids: + - 119 + - 120 + IPAdapter: + max_instances: 2 + node_ids: + - 111 + - 112 + IPAdapterAdvanced: + max_instances: 2 + node_ids: + - 113 + - 114 + IPAdapterBatch: + max_instances: 2 + node_ids: + - 115 + - 116 + IPAdapterClipVisionEnhancer: + max_instances: 2 + node_ids: + - 135 + - 136 + IPAdapterClipVisionEnhancerBatch: + max_instances: 2 + node_ids: + - 137 + - 138 + IPAdapterCombineEmbeds: + max_instances: 2 + node_ids: + - 156 + - 157 + IPAdapterCombineParams: + max_instances: 2 + node_ids: + - 176 + - 177 + IPAdapterCombineWeights: + max_instances: 2 + node_ids: + - 168 + - 169 + IPAdapterEmbeds: + max_instances: 2 + node_ids: + - 125 + - 126 + IPAdapterEmbedsBatch: + max_instances: 2 + node_ids: + - 127 + - 128 + IPAdapterEncoder: + max_instances: 2 + node_ids: + - 154 + - 155 + IPAdapterFaceID: + max_instances: 2 + node_ids: + - 117 + - 118 + IPAdapterFromParams: + max_instances: 2 + node_ids: + - 139 + - 140 + IPAdapterInsightFaceLoader: + max_instances: 1 + node_ids: + - 152 + IPAdapterLoadEmbeds: + max_instances: 2 + node_ids: + - 164 + - 165 + IPAdapterMS: + max_instances: 2 + node_ids: + - 133 + - 134 IPAdapterModelLoader: max_instances: 1 - node_ids: [15] - inputs: - ipadapter_file: - - "kolors/ip_adapter_plus_general.bin" + node_ids: + - 151 + IPAdapterNoise: + max_instances: 2 + node_ids: + - 158 + - 159 + IPAdapterPreciseComposition: + max_instances: 2 + node_ids: + - 145 + - 146 + IPAdapterPreciseCompositionBatch: + max_instances: 2 + node_ids: + - 147 + - 148 + IPAdapterPreciseStyleTransfer: + max_instances: 2 + node_ids: + - 141 + - 142 + IPAdapterPreciseStyleTransferBatch: + max_instances: 2 + node_ids: + - 143 + - 144 + IPAdapterPromptScheduleFromWeightsStrategy: + max_instances: 2 + node_ids: + - 172 + - 173 + IPAdapterRegionalConditioning: + max_instances: 2 + node_ids: + - 174 + - 175 + IPAdapterSaveEmbeds: + max_instances: 2 + node_ids: + - 162 + - 163 + IPAdapterStyleComposition: + max_instances: 2 + node_ids: + - 129 + - 130 + IPAdapterStyleCompositionBatch: + max_instances: 2 + node_ids: + - 131 + - 132 + IPAdapterTiled: + max_instances: 2 + node_ids: + - 121 + - 122 + IPAdapterTiledBatch: + max_instances: 2 + node_ids: + - 123 + - 124 + IPAdapterUnifiedLoader: + max_instances: 1 + node_ids: + - 149 + IPAdapterUnifiedLoaderCommunity: + max_instances: 1 + node_ids: + - 153 + IPAdapterUnifiedLoaderFaceID: + max_instances: 1 + node_ids: + - 150 + IPAdapterWeights: + max_instances: 2 + node_ids: + - 166 + - 167 + IPAdapterWeightsFromStrategy: + max_instances: 2 + node_ids: + - 170 + - 171 + ImageBatch: + max_instances: 2 + node_ids: + - 38 + - 39 + ImageInvert: + max_instances: 2 + node_ids: + - 36 + - 37 + ImagePadForOutpaint: + max_instances: 2 + node_ids: + - 40 + - 41 + ImageScale: + max_instances: 2 + node_ids: + - 32 + - 33 + ImageScaleBy: + max_instances: 2 + node_ids: + - 34 + - 35 + InpaintModelConditioning: + max_instances: 2 + node_ids: + - 98 + - 99 + KSampler: + max_instances: 2 + node_ids: + - 0 + - 1 + KSamplerAdvanced: + max_instances: 2 + node_ids: + - 58 + - 59 + LatentBlend: + max_instances: 2 + node_ids: + - 64 + - 65 + LatentComposite: + max_instances: 2 + node_ids: + - 62 + - 63 + LatentCrop: + max_instances: 2 + node_ids: + - 70 + - 71 + LatentFlip: + max_instances: 2 + node_ids: + - 68 + - 69 + LatentFromBatch: + max_instances: 2 + node_ids: + - 20 + - 21 + LatentRotate: + max_instances: 2 + node_ids: + - 66 + - 67 + LatentUpscale: + max_instances: 2 + node_ids: + - 16 + - 17 + LatentUpscaleBy: + max_instances: 2 + node_ids: + - 18 + - 19 + LoadImage: + max_instances: 2 + node_ids: + - 28 + - 29 + LoadImageMask: + max_instances: 2 + node_ids: + - 30 + - 31 + LoadLatent: + max_instances: 2 + node_ids: + - 102 + - 103 + LoraLoader: + max_instances: 1 + node_ids: + - 72 + LoraLoaderModelOnly: + max_instances: 1 + node_ids: + - 110 + MZ_ApplyCUDAGenerator: + max_instances: 2 + node_ids: + - 193 + - 194 + MZ_ApplySDXLSamplingSettings: + max_instances: 2 + node_ids: + - 191 + - 192 + MZ_ChatGLM3: + max_instances: 2 + node_ids: + - 198 + - 199 + MZ_ChatGLM3Embeds2Conditioning: + max_instances: 2 + node_ids: + - 181 + - 182 + MZ_ChatGLM3Loader: + max_instances: 1 + node_ids: + - 178 + MZ_ChatGLM3_Advance_V2: + max_instances: 2 + node_ids: + - 183 + - 184 + MZ_ChatGLM3_V2: + max_instances: 2 + node_ids: + - 179 + - 180 + MZ_IPAdapterAdvancedKolors: + max_instances: 2 + node_ids: + - 196 + - 197 + MZ_IPAdapterModelLoaderKolors: + max_instances: 1 + node_ids: + - 195 + MZ_KolorsCLIPVisionLoader: + max_instances: 1 + node_ids: + - 190 + MZ_KolorsCheckpointLoaderSimple: + max_instances: 1 + node_ids: + - 185 + MZ_KolorsControlNetLoader: + max_instances: 1 + node_ids: + - 186 + MZ_KolorsControlNetPatch: + max_instances: 2 + node_ids: + - 188 + - 189 + MZ_KolorsUNETLoader: + max_instances: 1 + node_ids: + - 200 + MZ_KolorsUNETLoaderV2: + max_instances: 1 + node_ids: + - 187 + PrepImageForClipVision: + max_instances: 2 + node_ids: + - 160 + - 161 + PreviewImage: + max_instances: 2 + node_ids: + - 26 + - 27 + RepeatLatentBatch: + max_instances: 2 + node_ids: + - 22 + - 23 + SaveImage: + max_instances: 2 + node_ids: + - 24 + - 25 + SaveLatent: + max_instances: 2 + node_ids: + - 104 + - 105 + SetLatentNoiseMask: + max_instances: 2 + node_ids: + - 60 + - 61 + StyleModelApply: + max_instances: 2 + node_ids: + - 78 + - 79 + StyleModelLoader: + max_instances: 1 + node_ids: + - 88 + UNETLoader: + max_instances: 1 + node_ids: + - 74 + VAEDecode: + max_instances: 2 + node_ids: + - 7 + - 8 + VAEDecodeTiled: + max_instances: 2 + node_ids: + - 90 + - 91 + VAEEncode: + max_instances: 2 + node_ids: + - 9 + - 10 + VAEEncodeForInpaint: + max_instances: 2 + node_ids: + - 11 + - 12 + VAEEncodeTiled: + max_instances: 2 + node_ids: + - 92 + - 93 VAELoader: max_instances: 1 - node_ids: [16] - inputs: - vae_name: - - "sdxl/sdxl_vae.safetensors" - ComfyAirLoadData: - max_instances: 10 - inputs: - max_height: 1536 - max_width: 1536 + node_ids: + - 13 + unCLIPCheckpointLoader: + max_instances: 1 + node_ids: + - 94 + unCLIPConditioning: + max_instances: 2 + node_ids: + - 80 + - 81 + diff --git a/src/bizyair/configs/models.json b/src/bizyair/configs/models.json index 50a4ccf9..49e58668 100644 --- a/src/bizyair/configs/models.json +++ b/src/bizyair/configs/models.json @@ -1,17 +1,7 @@ { "checkpoints": { "sdxl": [ - "counterfeitxl_v25.safetensors", - "dreamshaperXL_lightningDPMSDE.safetensors", - "dreamshaperXL_v21TurboDPMSDE.safetensors", - "HelloWorldXL_v70.safetensors", - "juggernautXL_v9Rdphoto2Lightning.safetensors", - "Juggernaut-XL_v9_RunDiffusionPhoto_v2.safetensors", - "Juggernaut_X_RunDiffusion_Hyper.safetensors", - "Juggernaut-X-RunDiffusion-NSFW.safetensors", - "mannEDreams_v004.safetensors", - "realisticStockPhoto_v20.safetensors", - "samaritan3dCartoon_v40SDXL.safetensors" + "Juggernaut-XL_v9_RunDiffusionPhoto_v2.safetensors" ] }, "clip_vision": { @@ -31,19 +21,7 @@ "diffusion_pytorch_model_promax.safetensors" ] }, - "instantid": [ - "ip-adapter.bin" - ], "ipadapter": { - "models": [ - "ip-adapter-faceid-plusv2_sdxl.bin", - "ip-adapter-faceid-portrait_sdxl.bin", - "ip-adapter-faceid-portrait_sdxl_unnorm.bin", - "ip-adapter-faceid_sdxl.bin", - "ip-adapter-plus-face_sdxl_vit-h.safetensors", - "ip-adapter-plus_sd15.safetensors", - "ip-adapter-plus_sdxl_vit-h.safetensors" - ], "kolors": [ "ip_adapter_plus_general.bin" ] @@ -51,8 +29,6 @@ "loras": { "sdxl": [ "Cute_Animals.safetensors", - "ip-adapter-faceid-plusv2_sdxl_lora.safetensors", - "ip-adapter-faceid_sdxl_lora.safetensors", "watercolor_v1_sdxl_lora.safetensors" ] }, diff --git a/src/bizyair/configs/models.json.backup b/src/bizyair/configs/models.json.backup new file mode 100644 index 00000000..50a4ccf9 --- /dev/null +++ b/src/bizyair/configs/models.json.backup @@ -0,0 +1,70 @@ +{ + "checkpoints": { + "sdxl": [ + "counterfeitxl_v25.safetensors", + "dreamshaperXL_lightningDPMSDE.safetensors", + "dreamshaperXL_v21TurboDPMSDE.safetensors", + "HelloWorldXL_v70.safetensors", + "juggernautXL_v9Rdphoto2Lightning.safetensors", + "Juggernaut-XL_v9_RunDiffusionPhoto_v2.safetensors", + "Juggernaut_X_RunDiffusion_Hyper.safetensors", + "Juggernaut-X-RunDiffusion-NSFW.safetensors", + "mannEDreams_v004.safetensors", + "realisticStockPhoto_v20.safetensors", + "samaritan3dCartoon_v40SDXL.safetensors" + ] + }, + "clip_vision": { + "models": [ + "CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors" + ], + "kolors": [ + "pytorch_model.bin" + ] + }, + "controlnet": { + "kolors": [ + "Kolors-ControlNet-Canny.safetensors", + "Kolors-ControlNet-Depth.safetensors" + ], + "sdxl": [ + "diffusion_pytorch_model_promax.safetensors" + ] + }, + "instantid": [ + "ip-adapter.bin" + ], + "ipadapter": { + "models": [ + "ip-adapter-faceid-plusv2_sdxl.bin", + "ip-adapter-faceid-portrait_sdxl.bin", + "ip-adapter-faceid-portrait_sdxl_unnorm.bin", + "ip-adapter-faceid_sdxl.bin", + "ip-adapter-plus-face_sdxl_vit-h.safetensors", + "ip-adapter-plus_sd15.safetensors", + "ip-adapter-plus_sdxl_vit-h.safetensors" + ], + "kolors": [ + "ip_adapter_plus_general.bin" + ] + }, + "loras": { + "sdxl": [ + "Cute_Animals.safetensors", + "ip-adapter-faceid-plusv2_sdxl_lora.safetensors", + "ip-adapter-faceid_sdxl_lora.safetensors", + "watercolor_v1_sdxl_lora.safetensors" + ] + }, + "unet": { + "kolors": [ + "Kolors-Inpainting.safetensors", + "Kolors.safetensors" + ] + }, + "vae": { + "sdxl": [ + "sdxl_vae.safetensors" + ] + } + } \ No newline at end of file diff --git a/src/bizyair/configs/sdxl_config.yaml b/src/bizyair/configs/sdxl_config.yaml index c98ad1f7..73de7f24 100644 --- a/src/bizyair/configs/sdxl_config.yaml +++ b/src/bizyair/configs/sdxl_config.yaml @@ -1,7 +1,7 @@ service_config: - service_address: http://0.0.0.0:9911 # https://api.siliconflow.cn # http://0.0.0.0:9911 - route: /supernode/test-bizyair-sdxl-comfy-ksampler + service_address: https://api.siliconflow.cn # http://0.0.0.0:9911 + route: /supernode/bizyair-sdxl-comfy-ksampler service_route: "{{ service_config.service_address }}{{ service_config.route }}" server_format: diff --git a/src/bizyair/image_utils.py b/src/bizyair/image_utils.py index eef4decb..55a5d0c6 100644 --- a/src/bizyair/image_utils.py +++ b/src/bizyair/image_utils.py @@ -54,7 +54,7 @@ def __init__( nodes: Dict[str, Dict[str, any]] = {}, config_file=None, configs: dict = None, - debug: bool = os.getenv("BIZYAIR_DEBUG", False), + debug: bool = BIZYAIR_DEBUG, ): self._validate_node_id(node_id=node_id) @@ -115,9 +115,8 @@ def copy(self, new_node_id: str = None): @property def workflow_api(self): + # return {"prompt": self.nodes, "last_node_id": self.node_id} # TODO (refine) - return {"prompt": self.nodes, "last_node_id": self.node_id} - class_configs = self.configs.get("class_types", {}) class_usage_count = {} for _, instance_info in self.nodes.items(): @@ -220,6 +219,10 @@ def send_request( # self._short_repr(self.nodes, max_length=100) # self._short_repr(self.workflow_api['prompt'], max_length=100) api_url = self.service_route() + if self.debug: + prompt = self._short_repr(self.workflow_api["prompt"], max_length=100) + print(f"Debug: {prompt=} {api_url=} {BizyAirNodeIO.API_KEY=}") + if stream: result = None pass # TODO(fix) diff --git a/src/bizyair/path_utils.py b/src/bizyair/path_utils.py index 62a1536f..cb10f677 100644 --- a/src/bizyair/path_utils.py +++ b/src/bizyair/path_utils.py @@ -82,27 +82,6 @@ def load_json(file_path: str) -> dict: def init_config(): global folder_names_and_paths - - class_type_key_mapping = { - "CheckpointLoaderSimple": ["ckpt_name", "checkpoints"], - "ControlNetLoader": ["control_net_name", "controlnet"], - "LoraLoader": ["lora_name", "loras"], - "CLIPVisionLoader": ["clip_name", "clip_vision"], - "VAELoader": ["vae_name", "vae"], - } - for path in get_config_file_list(): - config = load_yaml_config(path) - for class_type in config["class_types"]: - inputs = config["class_types"][class_type].get("inputs", {}) - if class_type in class_type_key_mapping: - key, folder_key = class_type_key_mapping[class_type] - if folder_key not in folder_names_and_paths: - folder_names_and_paths[folder_key] = [] - if key not in inputs: - print(f"Warning: no find limit for {class_type=} {key=}") - else: - folder_names_and_paths[folder_key].extend(inputs[key]) - models_file = os.path.join(base_path, "configs", "models.json") models_data = load_json(models_file) for k, v in models_data.items(): From 22c9f6380b85df5aaeeac5c9d4c42204658e280e Mon Sep 17 00:00:00 2001 From: FengWen Date: Thu, 1 Aug 2024 10:15:01 +0800 Subject: [PATCH 12/22] fix merge --- supernode.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/supernode.py b/supernode.py index 11ac4731..cff82b24 100644 --- a/supernode.py +++ b/supernode.py @@ -11,7 +11,7 @@ get_api_key, ) -from .image_utils import encode_data, decode_data +from bizyair.image_utils import encode_data, decode_data BIZYAIR_SERVER_ADDRESS = os.getenv( "BIZYAIR_SERVER_ADDRESS", "https://api.siliconflow.cn" From 48094c0ddfc01b0a34b53ad65a520c7a8ca6e239 Mon Sep 17 00:00:00 2001 From: FengWen Date: Thu, 1 Aug 2024 10:22:35 +0800 Subject: [PATCH 13/22] refine --- api_key.ini | 2 +- mzkolors.py | 12 ------------ nodes_controlnet_union_sdxl.py | 2 +- 3 files changed, 2 insertions(+), 14 deletions(-) diff --git a/api_key.ini b/api_key.ini index 987db96f..34483365 100644 --- a/api_key.ini +++ b/api_key.ini @@ -1,2 +1,2 @@ [auth] -# api_key= \ No newline at end of file +# api_key = diff --git a/mzkolors.py b/mzkolors.py index 3a6682d2..03ea01a6 100644 --- a/mzkolors.py +++ b/mzkolors.py @@ -86,22 +86,10 @@ def mz_encode(self, text): ) -class Debug_CONDITIONING: - @classmethod - def INPUT_TYPES(s): - return {"required": {}, "optional": {"anything": ("*", {})}} - - RETURN_TYPES = (CONDITIONING,) - FUNCTION = "call" - - def call(self, anything): - return (anything,) - NODE_CLASS_MAPPINGS = { "BizyAirMZChatGLM3TextEncode": BizyAirMZChatGLM3TextEncode, "BizyAir_MinusZoneChatGLM3TextEncode": BizyAir_MinusZoneChatGLM3TextEncode, - "Debug_CONDITIONING": Debug_CONDITIONING, } NODE_DISPLAY_NAME_MAPPINGS = { "BizyAirMZChatGLM3TextEncode": "☁️BizyAir ChatGLM3 Text Encode", diff --git a/nodes_controlnet_union_sdxl.py b/nodes_controlnet_union_sdxl.py index 83290a1b..79e4f7e1 100644 --- a/nodes_controlnet_union_sdxl.py +++ b/nodes_controlnet_union_sdxl.py @@ -8,7 +8,7 @@ import numpy as np import requests from .utils import get_api_key -from .src.bizyair.image_utils import encode_comfy_image, decode_comfy_image +from bizyair.image_utils import encode_comfy_image, decode_comfy_image BIZYAIR_SERVER_ADDRESS = os.getenv( "BIZYAIR_SERVER_ADDRESS", "https://api.siliconflow.cn" From fb9441dab4fbed6f7b2c2b2d759123f670ff736c Mon Sep 17 00:00:00 2001 From: FengWen Date: Thu, 1 Aug 2024 12:06:50 +0800 Subject: [PATCH 14/22] annotate unverified ipa nodes --- .../nodes_ipadapter_plus.py | 2640 ++++++++--------- src/bizyair/path_utils.py | 4 +- 2 files changed, 1319 insertions(+), 1325 deletions(-) diff --git a/bizyair_extras/nodes_ipadapter_plus/nodes_ipadapter_plus.py b/bizyair_extras/nodes_ipadapter_plus/nodes_ipadapter_plus.py index 0a25625a..4fae6a0a 100644 --- a/bizyair_extras/nodes_ipadapter_plus/nodes_ipadapter_plus.py +++ b/bizyair_extras/nodes_ipadapter_plus/nodes_ipadapter_plus.py @@ -58,12 +58,12 @@ def INPUT_TYPES(s): "model": (MODEL,), "preset": ( [ - "LIGHT - SD1.5 only (low strength)", - "STANDARD (medium strength)", - "VIT-G (medium strength)", + # "LIGHT - SD1.5 only (low strength)", + # "STANDARD (medium strength)", + # "VIT-G (medium strength)", "PLUS (high strength)", "PLUS FACE (portraits)", - "FULL FACE - SD1.5 only (portraits stronger)", + # "FULL FACE - SD1.5 only (portraits stronger)", ], ), }, @@ -105,55 +105,55 @@ def load_models(self, **kwargs): ) -class IPAdapterUnifiedLoaderFaceID(IPAdapterUnifiedLoader): - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "model": ("MODEL",), - "preset": ( - [ - "FACEID", - "FACEID PLUS - SD1.5 only", - "FACEID PLUS V2", - "FACEID PORTRAIT (style transfer)", - "FACEID PORTRAIT UNNORM - SDXL only (strong)", - ], - ), - "lora_strength": ( - "FLOAT", - {"default": 0.6, "min": 0, "max": 1, "step": 0.01}, - ), - "provider": ( - ["CPU", "CUDA", "ROCM", "DirectML", "OpenVINO", "CoreML"], - ), - }, - "optional": { - "ipadapter": ("IPADAPTER",), - }, - } - - RETURN_NAMES = ( - "MODEL", - "ipadapter", - ) - CATEGORY = "ipadapter/faceid" - - -class IPAdapterUnifiedLoaderCommunity(IPAdapterUnifiedLoader): - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "model": ("MODEL",), - "preset": (["Composition", "Kolors"],), - }, - "optional": { - "ipadapter": ("IPADAPTER",), - }, - } - - CATEGORY = "ipadapter/loaders" +# class IPAdapterUnifiedLoaderFaceID(IPAdapterUnifiedLoader): +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "model": ("MODEL",), +# "preset": ( +# [ +# "FACEID", +# "FACEID PLUS - SD1.5 only", +# "FACEID PLUS V2", +# "FACEID PORTRAIT (style transfer)", +# "FACEID PORTRAIT UNNORM - SDXL only (strong)", +# ], +# ), +# "lora_strength": ( +# "FLOAT", +# {"default": 0.6, "min": 0, "max": 1, "step": 0.01}, +# ), +# "provider": ( +# ["CPU", "CUDA", "ROCM", "DirectML", "OpenVINO", "CoreML"], +# ), +# }, +# "optional": { +# "ipadapter": ("IPADAPTER",), +# }, +# } + +# RETURN_NAMES = ( +# "MODEL", +# "ipadapter", +# ) +# CATEGORY = "ipadapter/faceid" + + +# class IPAdapterUnifiedLoaderCommunity(IPAdapterUnifiedLoader): +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "model": ("MODEL",), +# "preset": (["Composition", "Kolors"],), +# }, +# "optional": { +# "ipadapter": ("IPADAPTER",), +# }, +# } + +# CATEGORY = "ipadapter/loaders" class IPAdapterModelLoader(BizyAirBaseNode): @@ -176,18 +176,18 @@ def load_ipadapter_model(self, **kwargs): return (BizyAirNodeIO(self.assigned_id, nodes={self.assigned_id: node_data}),) -class IPAdapterInsightFaceLoader: - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "provider": (["CPU", "CUDA", "ROCM"],), - }, - } +# class IPAdapterInsightFaceLoader: +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "provider": (["CPU", "CUDA", "ROCM"],), +# }, +# } - RETURN_TYPES = ("INSIGHTFACE",) - FUNCTION = "load_insightface" - CATEGORY = "ipadapter/loaders" +# RETURN_TYPES = ("INSIGHTFACE",) +# FUNCTION = "load_insightface" +# CATEGORY = "ipadapter/loaders" """ @@ -294,44 +294,44 @@ def apply_ipadapter(self, **kwargs): return (new_model,) -class IPAdapterBatch(IPAdapterAdvanced): - def __init__(self): - super().__init__() - self.unfold_batch = True - - NODE_DISPLAY_NAME = "IPAdapter Batch (Adv.)" - - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "model": ("MODEL",), - "ipadapter": ("IPADAPTER",), - "image": ("IMAGE",), - "weight": ( - "FLOAT", - {"default": 1.0, "min": -1, "max": 5, "step": 0.05}, - ), - "weight_type": (WEIGHT_TYPES,), - "start_at": ( - "FLOAT", - {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "end_at": ( - "FLOAT", - {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "embeds_scaling": ( - ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], - ), - "encode_batch_size": ("INT", {"default": 0, "min": 0, "max": 4096}), - }, - "optional": { - "image_negative": ("IMAGE",), - "attn_mask": ("MASK",), - "clip_vision": ("CLIP_VISION",), - }, - } +# class IPAdapterBatch(IPAdapterAdvanced): +# def __init__(self): +# super().__init__() +# self.unfold_batch = True + +# NODE_DISPLAY_NAME = "IPAdapter Batch (Adv.)" + +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "model": ("MODEL",), +# "ipadapter": ("IPADAPTER",), +# "image": ("IMAGE",), +# "weight": ( +# "FLOAT", +# {"default": 1.0, "min": -1, "max": 5, "step": 0.05}, +# ), +# "weight_type": (WEIGHT_TYPES,), +# "start_at": ( +# "FLOAT", +# {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "end_at": ( +# "FLOAT", +# {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "embeds_scaling": ( +# ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], +# ), +# "encode_batch_size": ("INT", {"default": 0, "min": 0, "max": 4096}), +# }, +# "optional": { +# "image_negative": ("IMAGE",), +# "attn_mask": ("MASK",), +# "clip_vision": ("CLIP_VISION",), +# }, +# } class IPAdapterStyleComposition(IPAdapterAdvanced): @@ -381,1223 +381,1219 @@ def INPUT_TYPES(s): CATEGORY = "ipadapter/style_composition" -class IPAdapterStyleCompositionBatch(IPAdapterStyleComposition): - def __init__(self): - super().__init__() - self.unfold_batch = True - - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "model": ("MODEL",), - "ipadapter": ("IPADAPTER",), - "image_style": ("IMAGE",), - "image_composition": ("IMAGE",), - "weight_style": ( - "FLOAT", - {"default": 1.0, "min": -1, "max": 5, "step": 0.05}, - ), - "weight_composition": ( - "FLOAT", - {"default": 1.0, "min": -1, "max": 5, "step": 0.05}, - ), - "expand_style": ("BOOLEAN", {"default": False}), - "start_at": ( - "FLOAT", - {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "end_at": ( - "FLOAT", - {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "embeds_scaling": ( - ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], - ), - }, - "optional": { - "image_negative": ("IMAGE",), - "attn_mask": ("MASK",), - "clip_vision": ("CLIP_VISION",), - }, - } - - NODE_DISPLAY_NAME = "IPAdapter Style & Composition Batch SDXL" - - -class IPAdapterFaceID(IPAdapterAdvanced): - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "model": ("MODEL",), - "ipadapter": ("IPADAPTER",), - "image": ("IMAGE",), - "weight": ( - "FLOAT", - {"default": 1.0, "min": -1, "max": 3, "step": 0.05}, - ), - "weight_faceidv2": ( - "FLOAT", - {"default": 1.0, "min": -1, "max": 5.0, "step": 0.05}, - ), - "weight_type": (WEIGHT_TYPES,), - "combine_embeds": ( - ["concat", "add", "subtract", "average", "norm average"], - ), - "start_at": ( - "FLOAT", - {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "end_at": ( - "FLOAT", - {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "embeds_scaling": ( - ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], - ), - }, - "optional": { - "image_negative": ("IMAGE",), - "attn_mask": ("MASK",), - "clip_vision": ("CLIP_VISION",), - "insightface": ("INSIGHTFACE",), - }, - } - - CATEGORY = "ipadapter/faceid" - RETURN_TYPES = ( - "MODEL", - "IMAGE", - ) - RETURN_NAMES = ( - "MODEL", - "face_image", - ) - NODE_DISPLAY_NAME = "IPAdapter FaceID" - - -class IPAAdapterFaceIDBatch(IPAdapterFaceID): - def __init__(self): - super().__init__() - self.unfold_batch = True - - NODE_DISPLAY_NAME = "IPAdapter FaceID Batch" - - -class IPAdapterTiled: - def __init__(self): - self.unfold_batch = False - - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "model": ("MODEL",), - "ipadapter": ("IPADAPTER",), - "image": ("IMAGE",), - "weight": ( - "FLOAT", - {"default": 1.0, "min": -1, "max": 3, "step": 0.05}, - ), - "weight_type": (WEIGHT_TYPES,), - "combine_embeds": ( - ["concat", "add", "subtract", "average", "norm average"], - ), - "start_at": ( - "FLOAT", - {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "end_at": ( - "FLOAT", - {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "sharpening": ( - "FLOAT", - {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.05}, - ), - "embeds_scaling": ( - ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], - ), - }, - "optional": { - "image_negative": ("IMAGE",), - "attn_mask": ("MASK",), - "clip_vision": ("CLIP_VISION",), - }, - } - - RETURN_TYPES = ( - "MODEL", - "IMAGE", - "MASK", - ) - RETURN_NAMES = ( - "MODEL", - "tiles", - "masks", - ) - FUNCTION = "apply_tiled" - CATEGORY = "ipadapter/tiled" - - def apply_tiled( - self, - model, - ipadapter, - image, - weight, - weight_type, - start_at, - end_at, - sharpening, - combine_embeds="concat", - image_negative=None, - attn_mask=None, - clip_vision=None, - embeds_scaling="V only", - encode_batch_size=0, - ): - # 1. Select the models - if "ipadapter" in ipadapter: - ipadapter_model = ipadapter["ipadapter"]["model"] - clip_vision = ( - clip_vision - if clip_vision is not None - else ipadapter["clipvision"]["model"] - ) - else: - ipadapter_model = ipadapter - clip_vision = clip_vision - - if clip_vision is None: - raise Exception("Missing CLIPVision model.") - - del ipadapter - - # 2. Extract the tiles - tile_size = 256 # I'm using 256 instead of 224 as it is more likely divisible by the latent size, it will be downscaled to 224 by the clip vision encoder - _, oh, ow, _ = image.shape - if attn_mask is None: - attn_mask = torch.ones([1, oh, ow], dtype=image.dtype, device=image.device) - - image = image.permute([0, 3, 1, 2]) - attn_mask = attn_mask.unsqueeze(1) - # the mask should have the same proportions as the reference image and the latent - attn_mask = T.Resize( - (oh, ow), interpolation=T.InterpolationMode.BICUBIC, antialias=True - )(attn_mask) - - # if the image is almost a square, we crop it to a square - if oh / ow > 0.75 and oh / ow < 1.33: - # crop the image to a square - image = T.CenterCrop(min(oh, ow))(image) - resize = (tile_size * 2, tile_size * 2) - - attn_mask = T.CenterCrop(min(oh, ow))(attn_mask) - # otherwise resize the smallest side and the other proportionally - else: - resize = ( - (int(tile_size * ow / oh), tile_size) - if oh < ow - else (tile_size, int(tile_size * oh / ow)) - ) - - # using PIL for better results - imgs = [] - for img in image: - img = T.ToPILImage()(img) - img = img.resize(resize, resample=Image.Resampling["LANCZOS"]) - imgs.append(T.ToTensor()(img)) - image = torch.stack(imgs) - del imgs, img - - # we don't need a high quality resize for the mask - attn_mask = T.Resize( - resize[::-1], interpolation=T.InterpolationMode.BICUBIC, antialias=True - )(attn_mask) - - # we allow a maximum of 4 tiles - if oh / ow > 4 or oh / ow < 0.25: - crop = (tile_size, tile_size * 4) if oh < ow else (tile_size * 4, tile_size) - image = T.CenterCrop(crop)(image) - attn_mask = T.CenterCrop(crop)(attn_mask) - - attn_mask = attn_mask.squeeze(1) - - if sharpening > 0: - image = contrast_adaptive_sharpening(image, sharpening) - - image = image.permute([0, 2, 3, 1]) - - _, oh, ow, _ = image.shape - - # find the number of tiles for each side - tiles_x = math.ceil(ow / tile_size) - tiles_y = math.ceil(oh / tile_size) - overlap_x = max( - 0, (tiles_x * tile_size - ow) / (tiles_x - 1 if tiles_x > 1 else 1) - ) - overlap_y = max( - 0, (tiles_y * tile_size - oh) / (tiles_y - 1 if tiles_y > 1 else 1) - ) - - base_mask = torch.zeros( - [attn_mask.shape[0], oh, ow], dtype=image.dtype, device=image.device - ) - - # extract all the tiles from the image and create the masks - tiles = [] - masks = [] - for y in range(tiles_y): - for x in range(tiles_x): - start_x = int(x * (tile_size - overlap_x)) - start_y = int(y * (tile_size - overlap_y)) - tiles.append( - image[ - :, - start_y : start_y + tile_size, - start_x : start_x + tile_size, - :, - ] - ) - mask = base_mask.clone() - mask[ - :, start_y : start_y + tile_size, start_x : start_x + tile_size - ] = attn_mask[ - :, start_y : start_y + tile_size, start_x : start_x + tile_size - ] - masks.append(mask) - del mask - - # 3. Apply the ipadapter to each group of tiles - model = model.clone() - for i in range(len(tiles)): - ipa_args = { - "image": tiles[i], - "image_negative": image_negative, - "weight": weight, - "weight_type": weight_type, - "combine_embeds": combine_embeds, - "start_at": start_at, - "end_at": end_at, - "attn_mask": masks[i], - "unfold_batch": self.unfold_batch, - "embeds_scaling": embeds_scaling, - "encode_batch_size": encode_batch_size, - } - # apply the ipadapter to the model without cloning it - model, _ = ipadapter_execute( - model, ipadapter_model, clip_vision, **ipa_args - ) - - return ( - model, - torch.cat(tiles), - torch.cat(masks), - ) - - -class IPAdapterTiledBatch(IPAdapterTiled): - def __init__(self): - self.unfold_batch = True - - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "model": ("MODEL",), - "ipadapter": ("IPADAPTER",), - "image": ("IMAGE",), - "weight": ( - "FLOAT", - {"default": 1.0, "min": -1, "max": 3, "step": 0.05}, - ), - "weight_type": (WEIGHT_TYPES,), - "start_at": ( - "FLOAT", - {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "end_at": ( - "FLOAT", - {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "sharpening": ( - "FLOAT", - {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.05}, - ), - "embeds_scaling": ( - ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], - ), - "encode_batch_size": ("INT", {"default": 0, "min": 0, "max": 4096}), - }, - "optional": { - "image_negative": ("IMAGE",), - "attn_mask": ("MASK",), - "clip_vision": ("CLIP_VISION",), - }, - } - - -class IPAdapterEmbeds: - def __init__(self): - self.unfold_batch = False - - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "model": ("MODEL",), - "ipadapter": ("IPADAPTER",), - "pos_embed": ("EMBEDS",), - "weight": ( - "FLOAT", - {"default": 1.0, "min": -1, "max": 3, "step": 0.05}, - ), - "weight_type": (WEIGHT_TYPES,), - "start_at": ( - "FLOAT", - {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "end_at": ( - "FLOAT", - {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "embeds_scaling": ( - ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], - ), - }, - "optional": { - "neg_embed": ("EMBEDS",), - "attn_mask": ("MASK",), - "clip_vision": ("CLIP_VISION",), - }, - } - - RETURN_TYPES = ("MODEL",) - FUNCTION = "apply_ipadapter" - CATEGORY = "ipadapter/embeds" - - def apply_ipadapter( - self, - model, - ipadapter, - pos_embed, - weight, - weight_type, - start_at, - end_at, - neg_embed=None, - attn_mask=None, - clip_vision=None, - embeds_scaling="V only", - ): - ipa_args = { - "pos_embed": pos_embed, - "neg_embed": neg_embed, - "weight": weight, - "weight_type": weight_type, - "start_at": start_at, - "end_at": end_at, - "attn_mask": attn_mask, - "embeds_scaling": embeds_scaling, - "unfold_batch": self.unfold_batch, - } - - if "ipadapter" in ipadapter: - ipadapter_model = ipadapter["ipadapter"]["model"] - clip_vision = ( - clip_vision - if clip_vision is not None - else ipadapter["clipvision"]["model"] - ) - else: - ipadapter_model = ipadapter - clip_vision = clip_vision - - if clip_vision is None and neg_embed is None: - raise Exception("Missing CLIPVision model.") - - del ipadapter - - return ipadapter_execute( - model.clone(), ipadapter_model, clip_vision, **ipa_args - ) - - -class IPAdapterEmbedsBatch(IPAdapterEmbeds): - def __init__(self): - self.unfold_batch = True - - -class IPAdapterMS(IPAdapterAdvanced): - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "model": ("MODEL",), - "ipadapter": ("IPADAPTER",), - "image": ("IMAGE",), - "weight": ( - "FLOAT", - {"default": 1.0, "min": -1, "max": 5, "step": 0.05}, - ), - "weight_faceidv2": ( - "FLOAT", - {"default": 1.0, "min": -1, "max": 5.0, "step": 0.05}, - ), - "weight_type": (WEIGHT_TYPES,), - "combine_embeds": ( - ["concat", "add", "subtract", "average", "norm average"], - ), - "start_at": ( - "FLOAT", - {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "end_at": ( - "FLOAT", - {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "embeds_scaling": ( - ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], - ), - "layer_weights": ("STRING", {"default": "", "multiline": True}), - }, - "optional": { - "image_negative": ("IMAGE",), - "attn_mask": ("MASK",), - "clip_vision": ("CLIP_VISION",), - "insightface": ("INSIGHTFACE",), - }, - } - - CATEGORY = "ipadapter/dev" - - -class IPAdapterClipVisionEnhancer(IPAdapterAdvanced): - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "model": ("MODEL",), - "ipadapter": ("IPADAPTER",), - "image": ("IMAGE",), - "weight": ( - "FLOAT", - {"default": 1.0, "min": -1, "max": 5, "step": 0.05}, - ), - "weight_type": (WEIGHT_TYPES,), - "combine_embeds": ( - ["concat", "add", "subtract", "average", "norm average"], - ), - "start_at": ( - "FLOAT", - {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "end_at": ( - "FLOAT", - {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "embeds_scaling": ( - ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], - ), - "enhance_tiles": ("INT", {"default": 2, "min": 1, "max": 16}), - "enhance_ratio": ( - "FLOAT", - {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.05}, - ), - }, - "optional": { - "image_negative": ("IMAGE",), - "attn_mask": ("MASK",), - "clip_vision": ("CLIP_VISION",), - }, - } - - CATEGORY = "ipadapter/dev" - - -class IPAdapterFromParams(IPAdapterAdvanced): - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "model": ("MODEL",), - "ipadapter": ("IPADAPTER",), - "ipadapter_params": ("IPADAPTER_PARAMS",), - "combine_embeds": ( - ["concat", "add", "subtract", "average", "norm average"], - ), - "embeds_scaling": ( - ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], - ), - }, - "optional": { - "image_negative": ("IMAGE",), - "clip_vision": ("CLIP_VISION",), - }, - } - - CATEGORY = "ipadapter/params" - - -class IPAdapterPreciseStyleTransfer(IPAdapterAdvanced): - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "model": ("MODEL",), - "ipadapter": ("IPADAPTER",), - "image": ("IMAGE",), - "weight": ( - "FLOAT", - {"default": 1.0, "min": -1, "max": 5, "step": 0.05}, - ), - "style_boost": ( - "FLOAT", - {"default": 1.0, "min": -5, "max": 5, "step": 0.05}, - ), - "combine_embeds": ( - ["concat", "add", "subtract", "average", "norm average"], - ), - "start_at": ( - "FLOAT", - {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "end_at": ( - "FLOAT", - {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "embeds_scaling": ( - ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], - ), - }, - "optional": { - "image_negative": ("IMAGE",), - "attn_mask": ("MASK",), - "clip_vision": ("CLIP_VISION",), - }, - } - - -class IPAdapterPreciseStyleTransferBatch(IPAdapterPreciseStyleTransfer): - def __init__(self): - self.unfold_batch = True - - -class IPAdapterPreciseComposition(IPAdapterAdvanced): - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "model": ("MODEL",), - "ipadapter": ("IPADAPTER",), - "image": ("IMAGE",), - "weight": ( - "FLOAT", - {"default": 1.0, "min": -1, "max": 5, "step": 0.05}, - ), - "composition_boost": ( - "FLOAT", - {"default": 0.0, "min": -5, "max": 5, "step": 0.05}, - ), - "combine_embeds": ( - ["concat", "add", "subtract", "average", "norm average"], - ), - "start_at": ( - "FLOAT", - {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "end_at": ( - "FLOAT", - {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "embeds_scaling": ( - ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], - ), - }, - "optional": { - "image_negative": ("IMAGE",), - "attn_mask": ("MASK",), - "clip_vision": ("CLIP_VISION",), - }, - } - - -class IPAdapterPreciseCompositionBatch(IPAdapterPreciseComposition): - def __init__(self): - self.unfold_batch = True - - -""" -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - Helpers -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -""" - - -class IPAdapterEncoder: - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "ipadapter": ("IPADAPTER",), - "image": ("IMAGE",), - "weight": ( - "FLOAT", - {"default": 1.0, "min": -1.0, "max": 3.0, "step": 0.01}, - ), - }, - "optional": { - "mask": ("MASK",), - "clip_vision": ("CLIP_VISION",), - }, - } - - RETURN_TYPES = ( - "EMBEDS", - "EMBEDS", - ) - RETURN_NAMES = ( - "pos_embed", - "neg_embed", - ) - FUNCTION = "encode" - CATEGORY = "ipadapter/embeds" - - -class IPAdapterCombineEmbeds: - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "embed1": ("EMBEDS",), - "method": ( - [ - "concat", - "add", - "subtract", - "average", - "norm average", - "max", - "min", - ], - ), - }, - "optional": { - "embed2": ("EMBEDS",), - "embed3": ("EMBEDS",), - "embed4": ("EMBEDS",), - "embed5": ("EMBEDS",), - }, - } - - RETURN_TYPES = ("EMBEDS",) - FUNCTION = "batch" - CATEGORY = "ipadapter/embeds" - - def batch(self, embed1, method, embed2=None, embed3=None, embed4=None, embed5=None): - if ( - method == "concat" - and embed2 is None - and embed3 is None - and embed4 is None - and embed5 is None - ): - return (embed1,) - - embeds = [embed1, embed2, embed3, embed4, embed5] - embeds = [embed for embed in embeds if embed is not None] - embeds = torch.cat(embeds, dim=0) - - if method == "add": - embeds = torch.sum(embeds, dim=0).unsqueeze(0) - elif method == "subtract": - embeds = embeds[0] - torch.mean(embeds[1:], dim=0) - embeds = embeds.unsqueeze(0) - elif method == "average": - embeds = torch.mean(embeds, dim=0).unsqueeze(0) - elif method == "norm average": - embeds = torch.mean( - embeds / torch.norm(embeds, dim=0, keepdim=True), dim=0 - ).unsqueeze(0) - elif method == "max": - embeds = torch.max(embeds, dim=0).values.unsqueeze(0) - elif method == "min": - embeds = torch.min(embeds, dim=0).values.unsqueeze(0) - - return (embeds,) - - -class IPAdapterNoise: - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "type": (["fade", "dissolve", "gaussian", "shuffle"],), - "strength": ( - "FLOAT", - {"default": 1.0, "min": 0, "max": 1, "step": 0.05}, - ), - "blur": ("INT", {"default": 0, "min": 0, "max": 32, "step": 1}), - }, - "optional": { - "image_optional": ("IMAGE",), - }, - } - - RETURN_TYPES = ("IMAGE",) - FUNCTION = "make_noise" - CATEGORY = "ipadapter/utils" - - def make_noise(self, type, strength, blur, image_optional=None): - if image_optional is None: - image = torch.zeros([1, 224, 224, 3]) - else: - transforms = T.Compose( - [ - T.CenterCrop(min(image_optional.shape[1], image_optional.shape[2])), - T.Resize( - (224, 224), - interpolation=T.InterpolationMode.BICUBIC, - antialias=True, - ), - ] - ) - image = transforms(image_optional.permute([0, 3, 1, 2])).permute( - [0, 2, 3, 1] - ) - - seed = ( - int(torch.sum(image).item()) % 1000000007 - ) # hash the image to get a seed, grants predictability - torch.manual_seed(seed) - - if type == "fade": - noise = torch.rand_like(image) - noise = image * (1 - strength) + noise * strength - elif type == "dissolve": - mask = (torch.rand_like(image) < strength).float() - noise = torch.rand_like(image) - noise = image * (1 - mask) + noise * mask - elif type == "gaussian": - noise = torch.randn_like(image) * strength - noise = image + noise - elif type == "shuffle": - transforms = T.Compose( - [ - T.ElasticTransform(alpha=75.0, sigma=(1 - strength) * 3.5), - T.RandomVerticalFlip(p=1.0), - T.RandomHorizontalFlip(p=1.0), - ] - ) - image = transforms(image.permute([0, 3, 1, 2])).permute([0, 2, 3, 1]) - noise = torch.randn_like(image) * (strength * 0.75) - noise = image * (1 - noise) + noise - - del image - noise = torch.clamp(noise, 0, 1) - - if blur > 0: - if blur % 2 == 0: - blur += 1 - noise = T.functional.gaussian_blur( - noise.permute([0, 3, 1, 2]), blur - ).permute([0, 2, 3, 1]) - - return (noise,) - - -class PrepImageForClipVision: - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "image": ("IMAGE",), - "interpolation": ( - ["LANCZOS", "BICUBIC", "HAMMING", "BILINEAR", "BOX", "NEAREST"], - ), - "crop_position": (["top", "bottom", "left", "right", "center", "pad"],), - "sharpening": ( - "FLOAT", - {"default": 0.0, "min": 0, "max": 1, "step": 0.05}, - ), - }, - } - - RETURN_TYPES = ("IMAGE",) - FUNCTION = "prep_image" - - CATEGORY = "ipadapter/utils" - - def prep_image( - self, image, interpolation="LANCZOS", crop_position="center", sharpening=0.0 - ): - size = (224, 224) - _, oh, ow, _ = image.shape - output = image.permute([0, 3, 1, 2]) - - if crop_position == "pad": - if oh != ow: - if oh > ow: - pad = (oh - ow) // 2 - pad = (pad, 0, pad, 0) - elif ow > oh: - pad = (ow - oh) // 2 - pad = (0, pad, 0, pad) - output = T.functional.pad(output, pad, fill=0) - else: - crop_size = min(oh, ow) - x = (ow - crop_size) // 2 - y = (oh - crop_size) // 2 - if "top" in crop_position: - y = 0 - elif "bottom" in crop_position: - y = oh - crop_size - elif "left" in crop_position: - x = 0 - elif "right" in crop_position: - x = ow - crop_size - - x2 = x + crop_size - y2 = y + crop_size - - output = output[:, :, y:y2, x:x2] - - imgs = [] - for img in output: - img = T.ToPILImage()(img) # using PIL for better results - img = img.resize(size, resample=Image.Resampling[interpolation]) - imgs.append(T.ToTensor()(img)) - output = torch.stack(imgs, dim=0) - del imgs, img - - if sharpening > 0: - output = contrast_adaptive_sharpening(output, sharpening) - - output = output.permute([0, 2, 3, 1]) - - return (output,) - - -class IPAdapterSaveEmbeds: - def __init__(self): - self.output_dir = folder_paths.get_output_directory() - - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "embeds": ("EMBEDS",), - "filename_prefix": ("STRING", {"default": "IP_embeds"}), - }, - } - - RETURN_TYPES = () - FUNCTION = "save" - OUTPUT_NODE = True - CATEGORY = "ipadapter/embeds" - - def save(self, embeds, filename_prefix): - ( - full_output_folder, - filename, - counter, - subfolder, - filename_prefix, - ) = folder_paths.get_save_image_path(filename_prefix, self.output_dir) - file = f"{filename}_{counter:05}.ipadpt" - file = os.path.join(full_output_folder, file) - - torch.save(embeds, file) - return (None,) - - -class IPAdapterLoadEmbeds: - @classmethod - def INPUT_TYPES(s): - input_dir = folder_paths.get_input_directory() - files = [ - os.path.relpath(os.path.join(root, file), input_dir) - for root, dirs, files in os.walk(input_dir) - for file in files - if file.endswith(".ipadpt") - ] - return { - "required": { - "embeds": [ - sorted(files), - ] - }, - } - - RETURN_TYPES = ("EMBEDS",) - FUNCTION = "load" - CATEGORY = "ipadapter/embeds" - - def load(self, embeds): - path = folder_paths.get_annotated_filepath(embeds) - return (torch.load(path).cpu(),) - - -class IPAdapterWeights: - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "weights": ("STRING", {"default": "1.0, 0.0", "multiline": True}), - "timing": ( - [ - "custom", - "linear", - "ease_in_out", - "ease_in", - "ease_out", - "random", - ], - {"default": "linear"}, - ), - "frames": ("INT", {"default": 0, "min": 0, "max": 9999, "step": 1}), - "start_frame": ( - "INT", - {"default": 0, "min": 0, "max": 9999, "step": 1}, - ), - "end_frame": ( - "INT", - {"default": 9999, "min": 0, "max": 9999, "step": 1}, - ), - "add_starting_frames": ( - "INT", - {"default": 0, "min": 0, "max": 9999, "step": 1}, - ), - "add_ending_frames": ( - "INT", - {"default": 0, "min": 0, "max": 9999, "step": 1}, - ), - "method": ( - ["full batch", "shift batches", "alternate batches"], - {"default": "full batch"}, - ), - }, - "optional": { - "image": ("IMAGE",), - }, - } - - RETURN_TYPES = ("FLOAT", "FLOAT", "INT", "IMAGE", "IMAGE", "WEIGHTS_STRATEGY") - RETURN_NAMES = ( - "weights", - "weights_invert", - "total_frames", - "image_1", - "image_2", - "weights_strategy", - ) - FUNCTION = "weights" - CATEGORY = "ipadapter/weights" - - -class IPAdapterWeightsFromStrategy(IPAdapterWeights): - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "weights_strategy": ("WEIGHTS_STRATEGY",), - }, - "optional": { - "image": ("IMAGE",), - }, - } - - -class IPAdapterPromptScheduleFromWeightsStrategy: - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "weights_strategy": ("WEIGHTS_STRATEGY",), - "prompt": ("STRING", {"default": "", "multiline": True}), - } - } - - RETURN_TYPES = ("STRING",) - RETURN_NAMES = ("prompt_schedule",) - FUNCTION = "prompt_schedule" - CATEGORY = "ipadapter/weights" - - -class IPAdapterCombineWeights: - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "weights_1": ( - "FLOAT", - {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.05}, - ), - "weights_2": ( - "FLOAT", - {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.05}, - ), - } - } - - RETURN_TYPES = ("FLOAT", "INT") - RETURN_NAMES = ("weights", "count") - FUNCTION = "combine" - CATEGORY = "ipadapter/utils" - - -class IPAdapterRegionalConditioning: - @classmethod - def INPUT_TYPES(s): - return { - "required": { - # "set_cond_area": (["default", "mask bounds"],), - "image": ("IMAGE",), - "image_weight": ( - "FLOAT", - {"default": 1.0, "min": -1.0, "max": 3.0, "step": 0.05}, - ), - "prompt_weight": ( - "FLOAT", - {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.05}, - ), - "weight_type": (WEIGHT_TYPES,), - "start_at": ( - "FLOAT", - {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - "end_at": ( - "FLOAT", - {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, - ), - }, - "optional": { - "mask": ("MASK",), - "positive": ("CONDITIONING",), - "negative": ("CONDITIONING",), - }, - } - - RETURN_TYPES = ( - "IPADAPTER_PARAMS", - "CONDITIONING", - "CONDITIONING", - ) - RETURN_NAMES = ("IPADAPTER_PARAMS", "POSITIVE", "NEGATIVE") - FUNCTION = "conditioning" - - CATEGORY = "ipadapter/params" - - -class IPAdapterCombineParams: - @classmethod - def INPUT_TYPES(s): - return { - "required": { - "params_1": ("IPADAPTER_PARAMS",), - "params_2": ("IPADAPTER_PARAMS",), - }, - "optional": { - "params_3": ("IPADAPTER_PARAMS",), - "params_4": ("IPADAPTER_PARAMS",), - "params_5": ("IPADAPTER_PARAMS",), - }, - } - - RETURN_TYPES = ("IPADAPTER_PARAMS",) - FUNCTION = "combine" - CATEGORY = "ipadapter/params" - - -""" -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - Register -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -""" - -NODE_CLASS_MAPPINGS = { - # Main Apply Nodes - "IPAdapter": IPAdapterSimple, - "IPAdapterAdvanced": IPAdapterAdvanced, - "IPAdapterBatch": IPAdapterBatch, - "IPAdapterFaceID": IPAdapterFaceID, - "IPAAdapterFaceIDBatch": IPAAdapterFaceIDBatch, - "IPAdapterTiled": IPAdapterTiled, - "IPAdapterTiledBatch": IPAdapterTiledBatch, - "IPAdapterEmbeds": IPAdapterEmbeds, - "IPAdapterEmbedsBatch": IPAdapterEmbedsBatch, - "IPAdapterStyleComposition": IPAdapterStyleComposition, - "IPAdapterStyleCompositionBatch": IPAdapterStyleCompositionBatch, - "IPAdapterMS": IPAdapterMS, - "IPAdapterClipVisionEnhancer": IPAdapterClipVisionEnhancer, - "IPAdapterFromParams": IPAdapterFromParams, - "IPAdapterPreciseStyleTransfer": IPAdapterPreciseStyleTransfer, - "IPAdapterPreciseStyleTransferBatch": IPAdapterPreciseStyleTransferBatch, - "IPAdapterPreciseComposition": IPAdapterPreciseComposition, - "IPAdapterPreciseCompositionBatch": IPAdapterPreciseCompositionBatch, - # Loaders - "IPAdapterUnifiedLoader": IPAdapterUnifiedLoader, - "IPAdapterUnifiedLoaderFaceID": IPAdapterUnifiedLoaderFaceID, - "IPAdapterModelLoader": IPAdapterModelLoader, - "IPAdapterInsightFaceLoader": IPAdapterInsightFaceLoader, - "IPAdapterUnifiedLoaderCommunity": IPAdapterUnifiedLoaderCommunity, - # Helpers - "IPAdapterEncoder": IPAdapterEncoder, - "IPAdapterCombineEmbeds": IPAdapterCombineEmbeds, - "IPAdapterNoise": IPAdapterNoise, - "PrepImageForClipVision": PrepImageForClipVision, - "IPAdapterSaveEmbeds": IPAdapterSaveEmbeds, - "IPAdapterLoadEmbeds": IPAdapterLoadEmbeds, - "IPAdapterWeights": IPAdapterWeights, - "IPAdapterCombineWeights": IPAdapterCombineWeights, - "IPAdapterWeightsFromStrategy": IPAdapterWeightsFromStrategy, - "IPAdapterPromptScheduleFromWeightsStrategy": IPAdapterPromptScheduleFromWeightsStrategy, - "IPAdapterRegionalConditioning": IPAdapterRegionalConditioning, - "IPAdapterCombineParams": IPAdapterCombineParams, -} - -NODE_DISPLAY_NAME_MAPPINGS = { - # Main Apply Nodes - "IPAdapter": "IPAdapter", - "IPAdapterAdvanced": "IPAdapter Advanced", - "IPAdapterBatch": "IPAdapter Batch (Adv.)", - "IPAdapterFaceID": "IPAdapter FaceID", - "IPAAdapterFaceIDBatch": "IPAdapter FaceID Batch", - "IPAdapterTiled": "IPAdapter Tiled", - "IPAdapterTiledBatch": "IPAdapter Tiled Batch", - "IPAdapterEmbeds": "IPAdapter Embeds", - "IPAdapterEmbedsBatch": "IPAdapter Embeds Batch", - "IPAdapterStyleComposition": "IPAdapter Style & Composition SDXL", - "IPAdapterStyleCompositionBatch": "IPAdapter Style & Composition Batch SDXL", - "IPAdapterMS": "IPAdapter Mad Scientist", - "IPAdapterClipVisionEnhancer": "IPAdapter ClipVision Enhancer", - "IPAdapterFromParams": "IPAdapter from Params", - "IPAdapterPreciseStyleTransfer": "IPAdapter Precise Style Transfer", - "IPAdapterPreciseStyleTransferBatch": "IPAdapter Precise Style Transfer Batch", - "IPAdapterPreciseComposition": "IPAdapter Precise Composition", - "IPAdapterPreciseCompositionBatch": "IPAdapter Precise Composition Batch", - # Loaders - "IPAdapterUnifiedLoader": "IPAdapter Unified Loader", - "IPAdapterUnifiedLoaderFaceID": "IPAdapter Unified Loader FaceID", - "IPAdapterModelLoader": "IPAdapter Model Loader", - "IPAdapterInsightFaceLoader": "IPAdapter InsightFace Loader", - "IPAdapterUnifiedLoaderCommunity": "IPAdapter Unified Loader Community", - # Helpers - "IPAdapterEncoder": "IPAdapter Encoder", - "IPAdapterCombineEmbeds": "IPAdapter Combine Embeds", - "IPAdapterNoise": "IPAdapter Noise", - "PrepImageForClipVision": "Prep Image For ClipVision", - "IPAdapterSaveEmbeds": "IPAdapter Save Embeds", - "IPAdapterLoadEmbeds": "IPAdapter Load Embeds", - "IPAdapterWeights": "IPAdapter Weights", - "IPAdapterWeightsFromStrategy": "IPAdapter Weights From Strategy", - "IPAdapterPromptScheduleFromWeightsStrategy": "Prompt Schedule From Weights Strategy", - "IPAdapterCombineWeights": "IPAdapter Combine Weights", - "IPAdapterRegionalConditioning": "IPAdapter Regional Conditioning", - "IPAdapterCombineParams": "IPAdapter Combine Params", -} - -import nodes - -nodes.NODE_DISPLAY_NAME_MAPPINGS.update(NODE_DISPLAY_NAME_MAPPINGS) +# class IPAdapterStyleCompositionBatch(IPAdapterStyleComposition): +# def __init__(self): +# super().__init__() +# self.unfold_batch = True + +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "model": ("MODEL",), +# "ipadapter": ("IPADAPTER",), +# "image_style": ("IMAGE",), +# "image_composition": ("IMAGE",), +# "weight_style": ( +# "FLOAT", +# {"default": 1.0, "min": -1, "max": 5, "step": 0.05}, +# ), +# "weight_composition": ( +# "FLOAT", +# {"default": 1.0, "min": -1, "max": 5, "step": 0.05}, +# ), +# "expand_style": ("BOOLEAN", {"default": False}), +# "start_at": ( +# "FLOAT", +# {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "end_at": ( +# "FLOAT", +# {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "embeds_scaling": ( +# ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], +# ), +# }, +# "optional": { +# "image_negative": ("IMAGE",), +# "attn_mask": ("MASK",), +# "clip_vision": ("CLIP_VISION",), +# }, +# } + +# NODE_DISPLAY_NAME = "IPAdapter Style & Composition Batch SDXL" + + +# class IPAdapterFaceID(IPAdapterAdvanced): +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "model": ("MODEL",), +# "ipadapter": ("IPADAPTER",), +# "image": ("IMAGE",), +# "weight": ( +# "FLOAT", +# {"default": 1.0, "min": -1, "max": 3, "step": 0.05}, +# ), +# "weight_faceidv2": ( +# "FLOAT", +# {"default": 1.0, "min": -1, "max": 5.0, "step": 0.05}, +# ), +# "weight_type": (WEIGHT_TYPES,), +# "combine_embeds": ( +# ["concat", "add", "subtract", "average", "norm average"], +# ), +# "start_at": ( +# "FLOAT", +# {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "end_at": ( +# "FLOAT", +# {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "embeds_scaling": ( +# ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], +# ), +# }, +# "optional": { +# "image_negative": ("IMAGE",), +# "attn_mask": ("MASK",), +# "clip_vision": ("CLIP_VISION",), +# "insightface": ("INSIGHTFACE",), +# }, +# } + +# CATEGORY = "ipadapter/faceid" +# RETURN_TYPES = ( +# "MODEL", +# "IMAGE", +# ) +# RETURN_NAMES = ( +# "MODEL", +# "face_image", +# ) +# NODE_DISPLAY_NAME = "IPAdapter FaceID" + + +# class IPAAdapterFaceIDBatch(IPAdapterFaceID): +# def __init__(self): +# super().__init__() +# self.unfold_batch = True + +# NODE_DISPLAY_NAME = "IPAdapter FaceID Batch" + + +# class IPAdapterTiled: +# def __init__(self): +# self.unfold_batch = False + +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "model": ("MODEL",), +# "ipadapter": ("IPADAPTER",), +# "image": ("IMAGE",), +# "weight": ( +# "FLOAT", +# {"default": 1.0, "min": -1, "max": 3, "step": 0.05}, +# ), +# "weight_type": (WEIGHT_TYPES,), +# "combine_embeds": ( +# ["concat", "add", "subtract", "average", "norm average"], +# ), +# "start_at": ( +# "FLOAT", +# {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "end_at": ( +# "FLOAT", +# {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "sharpening": ( +# "FLOAT", +# {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.05}, +# ), +# "embeds_scaling": ( +# ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], +# ), +# }, +# "optional": { +# "image_negative": ("IMAGE",), +# "attn_mask": ("MASK",), +# "clip_vision": ("CLIP_VISION",), +# }, +# } + +# RETURN_TYPES = ( +# "MODEL", +# "IMAGE", +# "MASK", +# ) +# RETURN_NAMES = ( +# "MODEL", +# "tiles", +# "masks", +# ) +# FUNCTION = "apply_tiled" +# CATEGORY = "ipadapter/tiled" + +# def apply_tiled( +# self, +# model, +# ipadapter, +# image, +# weight, +# weight_type, +# start_at, +# end_at, +# sharpening, +# combine_embeds="concat", +# image_negative=None, +# attn_mask=None, +# clip_vision=None, +# embeds_scaling="V only", +# encode_batch_size=0, +# ): +# # 1. Select the models +# if "ipadapter" in ipadapter: +# ipadapter_model = ipadapter["ipadapter"]["model"] +# clip_vision = ( +# clip_vision +# if clip_vision is not None +# else ipadapter["clipvision"]["model"] +# ) +# else: +# ipadapter_model = ipadapter +# clip_vision = clip_vision + +# if clip_vision is None: +# raise Exception("Missing CLIPVision model.") + +# del ipadapter + +# # 2. Extract the tiles +# tile_size = 256 # I'm using 256 instead of 224 as it is more likely divisible by the latent size, it will be downscaled to 224 by the clip vision encoder +# _, oh, ow, _ = image.shape +# if attn_mask is None: +# attn_mask = torch.ones([1, oh, ow], dtype=image.dtype, device=image.device) + +# image = image.permute([0, 3, 1, 2]) +# attn_mask = attn_mask.unsqueeze(1) +# # the mask should have the same proportions as the reference image and the latent +# attn_mask = T.Resize( +# (oh, ow), interpolation=T.InterpolationMode.BICUBIC, antialias=True +# )(attn_mask) + +# # if the image is almost a square, we crop it to a square +# if oh / ow > 0.75 and oh / ow < 1.33: +# # crop the image to a square +# image = T.CenterCrop(min(oh, ow))(image) +# resize = (tile_size * 2, tile_size * 2) + +# attn_mask = T.CenterCrop(min(oh, ow))(attn_mask) +# # otherwise resize the smallest side and the other proportionally +# else: +# resize = ( +# (int(tile_size * ow / oh), tile_size) +# if oh < ow +# else (tile_size, int(tile_size * oh / ow)) +# ) + +# # using PIL for better results +# imgs = [] +# for img in image: +# img = T.ToPILImage()(img) +# img = img.resize(resize, resample=Image.Resampling["LANCZOS"]) +# imgs.append(T.ToTensor()(img)) +# image = torch.stack(imgs) +# del imgs, img + +# # we don't need a high quality resize for the mask +# attn_mask = T.Resize( +# resize[::-1], interpolation=T.InterpolationMode.BICUBIC, antialias=True +# )(attn_mask) + +# # we allow a maximum of 4 tiles +# if oh / ow > 4 or oh / ow < 0.25: +# crop = (tile_size, tile_size * 4) if oh < ow else (tile_size * 4, tile_size) +# image = T.CenterCrop(crop)(image) +# attn_mask = T.CenterCrop(crop)(attn_mask) + +# attn_mask = attn_mask.squeeze(1) + +# if sharpening > 0: +# image = contrast_adaptive_sharpening(image, sharpening) + +# image = image.permute([0, 2, 3, 1]) + +# _, oh, ow, _ = image.shape + +# # find the number of tiles for each side +# tiles_x = math.ceil(ow / tile_size) +# tiles_y = math.ceil(oh / tile_size) +# overlap_x = max( +# 0, (tiles_x * tile_size - ow) / (tiles_x - 1 if tiles_x > 1 else 1) +# ) +# overlap_y = max( +# 0, (tiles_y * tile_size - oh) / (tiles_y - 1 if tiles_y > 1 else 1) +# ) + +# base_mask = torch.zeros( +# [attn_mask.shape[0], oh, ow], dtype=image.dtype, device=image.device +# ) + +# # extract all the tiles from the image and create the masks +# tiles = [] +# masks = [] +# for y in range(tiles_y): +# for x in range(tiles_x): +# start_x = int(x * (tile_size - overlap_x)) +# start_y = int(y * (tile_size - overlap_y)) +# tiles.append( +# image[ +# :, +# start_y : start_y + tile_size, +# start_x : start_x + tile_size, +# :, +# ] +# ) +# mask = base_mask.clone() +# mask[ +# :, start_y : start_y + tile_size, start_x : start_x + tile_size +# ] = attn_mask[ +# :, start_y : start_y + tile_size, start_x : start_x + tile_size +# ] +# masks.append(mask) +# del mask + +# # 3. Apply the ipadapter to each group of tiles +# model = model.clone() +# for i in range(len(tiles)): +# ipa_args = { +# "image": tiles[i], +# "image_negative": image_negative, +# "weight": weight, +# "weight_type": weight_type, +# "combine_embeds": combine_embeds, +# "start_at": start_at, +# "end_at": end_at, +# "attn_mask": masks[i], +# "unfold_batch": self.unfold_batch, +# "embeds_scaling": embeds_scaling, +# "encode_batch_size": encode_batch_size, +# } +# # apply the ipadapter to the model without cloning it +# model, _ = ipadapter_execute( +# model, ipadapter_model, clip_vision, **ipa_args +# ) + +# return ( +# model, +# torch.cat(tiles), +# torch.cat(masks), +# ) + + +# class IPAdapterTiledBatch(IPAdapterTiled): +# def __init__(self): +# self.unfold_batch = True + +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "model": ("MODEL",), +# "ipadapter": ("IPADAPTER",), +# "image": ("IMAGE",), +# "weight": ( +# "FLOAT", +# {"default": 1.0, "min": -1, "max": 3, "step": 0.05}, +# ), +# "weight_type": (WEIGHT_TYPES,), +# "start_at": ( +# "FLOAT", +# {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "end_at": ( +# "FLOAT", +# {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "sharpening": ( +# "FLOAT", +# {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.05}, +# ), +# "embeds_scaling": ( +# ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], +# ), +# "encode_batch_size": ("INT", {"default": 0, "min": 0, "max": 4096}), +# }, +# "optional": { +# "image_negative": ("IMAGE",), +# "attn_mask": ("MASK",), +# "clip_vision": ("CLIP_VISION",), +# }, +# } + + +# class IPAdapterEmbeds: +# def __init__(self): +# self.unfold_batch = False + +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "model": ("MODEL",), +# "ipadapter": ("IPADAPTER",), +# "pos_embed": ("EMBEDS",), +# "weight": ( +# "FLOAT", +# {"default": 1.0, "min": -1, "max": 3, "step": 0.05}, +# ), +# "weight_type": (WEIGHT_TYPES,), +# "start_at": ( +# "FLOAT", +# {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "end_at": ( +# "FLOAT", +# {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "embeds_scaling": ( +# ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], +# ), +# }, +# "optional": { +# "neg_embed": ("EMBEDS",), +# "attn_mask": ("MASK",), +# "clip_vision": ("CLIP_VISION",), +# }, +# } + +# RETURN_TYPES = ("MODEL",) +# FUNCTION = "apply_ipadapter" +# CATEGORY = "ipadapter/embeds" + +# def apply_ipadapter( +# self, +# model, +# ipadapter, +# pos_embed, +# weight, +# weight_type, +# start_at, +# end_at, +# neg_embed=None, +# attn_mask=None, +# clip_vision=None, +# embeds_scaling="V only", +# ): +# ipa_args = { +# "pos_embed": pos_embed, +# "neg_embed": neg_embed, +# "weight": weight, +# "weight_type": weight_type, +# "start_at": start_at, +# "end_at": end_at, +# "attn_mask": attn_mask, +# "embeds_scaling": embeds_scaling, +# "unfold_batch": self.unfold_batch, +# } + +# if "ipadapter" in ipadapter: +# ipadapter_model = ipadapter["ipadapter"]["model"] +# clip_vision = ( +# clip_vision +# if clip_vision is not None +# else ipadapter["clipvision"]["model"] +# ) +# else: +# ipadapter_model = ipadapter +# clip_vision = clip_vision + +# if clip_vision is None and neg_embed is None: +# raise Exception("Missing CLIPVision model.") + +# del ipadapter + +# return ipadapter_execute( +# model.clone(), ipadapter_model, clip_vision, **ipa_args +# ) + + +# class IPAdapterEmbedsBatch(IPAdapterEmbeds): +# def __init__(self): +# self.unfold_batch = True + + +# class IPAdapterMS(IPAdapterAdvanced): +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "model": ("MODEL",), +# "ipadapter": ("IPADAPTER",), +# "image": ("IMAGE",), +# "weight": ( +# "FLOAT", +# {"default": 1.0, "min": -1, "max": 5, "step": 0.05}, +# ), +# "weight_faceidv2": ( +# "FLOAT", +# {"default": 1.0, "min": -1, "max": 5.0, "step": 0.05}, +# ), +# "weight_type": (WEIGHT_TYPES,), +# "combine_embeds": ( +# ["concat", "add", "subtract", "average", "norm average"], +# ), +# "start_at": ( +# "FLOAT", +# {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "end_at": ( +# "FLOAT", +# {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "embeds_scaling": ( +# ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], +# ), +# "layer_weights": ("STRING", {"default": "", "multiline": True}), +# }, +# "optional": { +# "image_negative": ("IMAGE",), +# "attn_mask": ("MASK",), +# "clip_vision": ("CLIP_VISION",), +# "insightface": ("INSIGHTFACE",), +# }, +# } + +# CATEGORY = "ipadapter/dev" + + +# class IPAdapterClipVisionEnhancer(IPAdapterAdvanced): +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "model": ("MODEL",), +# "ipadapter": ("IPADAPTER",), +# "image": ("IMAGE",), +# "weight": ( +# "FLOAT", +# {"default": 1.0, "min": -1, "max": 5, "step": 0.05}, +# ), +# "weight_type": (WEIGHT_TYPES,), +# "combine_embeds": ( +# ["concat", "add", "subtract", "average", "norm average"], +# ), +# "start_at": ( +# "FLOAT", +# {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "end_at": ( +# "FLOAT", +# {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "embeds_scaling": ( +# ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], +# ), +# "enhance_tiles": ("INT", {"default": 2, "min": 1, "max": 16}), +# "enhance_ratio": ( +# "FLOAT", +# {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.05}, +# ), +# }, +# "optional": { +# "image_negative": ("IMAGE",), +# "attn_mask": ("MASK",), +# "clip_vision": ("CLIP_VISION",), +# }, +# } + +# CATEGORY = "ipadapter/dev" + + +# class IPAdapterFromParams(IPAdapterAdvanced): +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "model": ("MODEL",), +# "ipadapter": ("IPADAPTER",), +# "ipadapter_params": ("IPADAPTER_PARAMS",), +# "combine_embeds": ( +# ["concat", "add", "subtract", "average", "norm average"], +# ), +# "embeds_scaling": ( +# ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], +# ), +# }, +# "optional": { +# "image_negative": ("IMAGE",), +# "clip_vision": ("CLIP_VISION",), +# }, +# } + +# CATEGORY = "ipadapter/params" + + +# class IPAdapterPreciseStyleTransfer(IPAdapterAdvanced): +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "model": ("MODEL",), +# "ipadapter": ("IPADAPTER",), +# "image": ("IMAGE",), +# "weight": ( +# "FLOAT", +# {"default": 1.0, "min": -1, "max": 5, "step": 0.05}, +# ), +# "style_boost": ( +# "FLOAT", +# {"default": 1.0, "min": -5, "max": 5, "step": 0.05}, +# ), +# "combine_embeds": ( +# ["concat", "add", "subtract", "average", "norm average"], +# ), +# "start_at": ( +# "FLOAT", +# {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "end_at": ( +# "FLOAT", +# {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "embeds_scaling": ( +# ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], +# ), +# }, +# "optional": { +# "image_negative": ("IMAGE",), +# "attn_mask": ("MASK",), +# "clip_vision": ("CLIP_VISION",), +# }, +# } + + +# class IPAdapterPreciseStyleTransferBatch(IPAdapterPreciseStyleTransfer): +# def __init__(self): +# self.unfold_batch = True + + +# class IPAdapterPreciseComposition(IPAdapterAdvanced): +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "model": ("MODEL",), +# "ipadapter": ("IPADAPTER",), +# "image": ("IMAGE",), +# "weight": ( +# "FLOAT", +# {"default": 1.0, "min": -1, "max": 5, "step": 0.05}, +# ), +# "composition_boost": ( +# "FLOAT", +# {"default": 0.0, "min": -5, "max": 5, "step": 0.05}, +# ), +# "combine_embeds": ( +# ["concat", "add", "subtract", "average", "norm average"], +# ), +# "start_at": ( +# "FLOAT", +# {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "end_at": ( +# "FLOAT", +# {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "embeds_scaling": ( +# ["V only", "K+V", "K+V w/ C penalty", "K+mean(V) w/ C penalty"], +# ), +# }, +# "optional": { +# "image_negative": ("IMAGE",), +# "attn_mask": ("MASK",), +# "clip_vision": ("CLIP_VISION",), +# }, +# } + + +# class IPAdapterPreciseCompositionBatch(IPAdapterPreciseComposition): +# def __init__(self): +# self.unfold_batch = True + + +# """ +# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +# Helpers +# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +# """ + + +# class IPAdapterEncoder: +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "ipadapter": ("IPADAPTER",), +# "image": ("IMAGE",), +# "weight": ( +# "FLOAT", +# {"default": 1.0, "min": -1.0, "max": 3.0, "step": 0.01}, +# ), +# }, +# "optional": { +# "mask": ("MASK",), +# "clip_vision": ("CLIP_VISION",), +# }, +# } + +# RETURN_TYPES = ( +# "EMBEDS", +# "EMBEDS", +# ) +# RETURN_NAMES = ( +# "pos_embed", +# "neg_embed", +# ) +# FUNCTION = "encode" +# CATEGORY = "ipadapter/embeds" + + +# class IPAdapterCombineEmbeds: +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "embed1": ("EMBEDS",), +# "method": ( +# [ +# "concat", +# "add", +# "subtract", +# "average", +# "norm average", +# "max", +# "min", +# ], +# ), +# }, +# "optional": { +# "embed2": ("EMBEDS",), +# "embed3": ("EMBEDS",), +# "embed4": ("EMBEDS",), +# "embed5": ("EMBEDS",), +# }, +# } + +# RETURN_TYPES = ("EMBEDS",) +# FUNCTION = "batch" +# CATEGORY = "ipadapter/embeds" + +# def batch(self, embed1, method, embed2=None, embed3=None, embed4=None, embed5=None): +# if ( +# method == "concat" +# and embed2 is None +# and embed3 is None +# and embed4 is None +# and embed5 is None +# ): +# return (embed1,) + +# embeds = [embed1, embed2, embed3, embed4, embed5] +# embeds = [embed for embed in embeds if embed is not None] +# embeds = torch.cat(embeds, dim=0) + +# if method == "add": +# embeds = torch.sum(embeds, dim=0).unsqueeze(0) +# elif method == "subtract": +# embeds = embeds[0] - torch.mean(embeds[1:], dim=0) +# embeds = embeds.unsqueeze(0) +# elif method == "average": +# embeds = torch.mean(embeds, dim=0).unsqueeze(0) +# elif method == "norm average": +# embeds = torch.mean( +# embeds / torch.norm(embeds, dim=0, keepdim=True), dim=0 +# ).unsqueeze(0) +# elif method == "max": +# embeds = torch.max(embeds, dim=0).values.unsqueeze(0) +# elif method == "min": +# embeds = torch.min(embeds, dim=0).values.unsqueeze(0) + +# return (embeds,) + + +# class IPAdapterNoise: +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "type": (["fade", "dissolve", "gaussian", "shuffle"],), +# "strength": ( +# "FLOAT", +# {"default": 1.0, "min": 0, "max": 1, "step": 0.05}, +# ), +# "blur": ("INT", {"default": 0, "min": 0, "max": 32, "step": 1}), +# }, +# "optional": { +# "image_optional": ("IMAGE",), +# }, +# } + +# RETURN_TYPES = ("IMAGE",) +# FUNCTION = "make_noise" +# CATEGORY = "ipadapter/utils" + +# def make_noise(self, type, strength, blur, image_optional=None): +# if image_optional is None: +# image = torch.zeros([1, 224, 224, 3]) +# else: +# transforms = T.Compose( +# [ +# T.CenterCrop(min(image_optional.shape[1], image_optional.shape[2])), +# T.Resize( +# (224, 224), +# interpolation=T.InterpolationMode.BICUBIC, +# antialias=True, +# ), +# ] +# ) +# image = transforms(image_optional.permute([0, 3, 1, 2])).permute( +# [0, 2, 3, 1] +# ) + +# seed = ( +# int(torch.sum(image).item()) % 1000000007 +# ) # hash the image to get a seed, grants predictability +# torch.manual_seed(seed) + +# if type == "fade": +# noise = torch.rand_like(image) +# noise = image * (1 - strength) + noise * strength +# elif type == "dissolve": +# mask = (torch.rand_like(image) < strength).float() +# noise = torch.rand_like(image) +# noise = image * (1 - mask) + noise * mask +# elif type == "gaussian": +# noise = torch.randn_like(image) * strength +# noise = image + noise +# elif type == "shuffle": +# transforms = T.Compose( +# [ +# T.ElasticTransform(alpha=75.0, sigma=(1 - strength) * 3.5), +# T.RandomVerticalFlip(p=1.0), +# T.RandomHorizontalFlip(p=1.0), +# ] +# ) +# image = transforms(image.permute([0, 3, 1, 2])).permute([0, 2, 3, 1]) +# noise = torch.randn_like(image) * (strength * 0.75) +# noise = image * (1 - noise) + noise + +# del image +# noise = torch.clamp(noise, 0, 1) + +# if blur > 0: +# if blur % 2 == 0: +# blur += 1 +# noise = T.functional.gaussian_blur( +# noise.permute([0, 3, 1, 2]), blur +# ).permute([0, 2, 3, 1]) + +# return (noise,) + + +# class PrepImageForClipVision: +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "image": ("IMAGE",), +# "interpolation": ( +# ["LANCZOS", "BICUBIC", "HAMMING", "BILINEAR", "BOX", "NEAREST"], +# ), +# "crop_position": (["top", "bottom", "left", "right", "center", "pad"],), +# "sharpening": ( +# "FLOAT", +# {"default": 0.0, "min": 0, "max": 1, "step": 0.05}, +# ), +# }, +# } + +# RETURN_TYPES = ("IMAGE",) +# FUNCTION = "prep_image" + +# CATEGORY = "ipadapter/utils" + +# def prep_image( +# self, image, interpolation="LANCZOS", crop_position="center", sharpening=0.0 +# ): +# size = (224, 224) +# _, oh, ow, _ = image.shape +# output = image.permute([0, 3, 1, 2]) + +# if crop_position == "pad": +# if oh != ow: +# if oh > ow: +# pad = (oh - ow) // 2 +# pad = (pad, 0, pad, 0) +# elif ow > oh: +# pad = (ow - oh) // 2 +# pad = (0, pad, 0, pad) +# output = T.functional.pad(output, pad, fill=0) +# else: +# crop_size = min(oh, ow) +# x = (ow - crop_size) // 2 +# y = (oh - crop_size) // 2 +# if "top" in crop_position: +# y = 0 +# elif "bottom" in crop_position: +# y = oh - crop_size +# elif "left" in crop_position: +# x = 0 +# elif "right" in crop_position: +# x = ow - crop_size + +# x2 = x + crop_size +# y2 = y + crop_size + +# output = output[:, :, y:y2, x:x2] + +# imgs = [] +# for img in output: +# img = T.ToPILImage()(img) # using PIL for better results +# img = img.resize(size, resample=Image.Resampling[interpolation]) +# imgs.append(T.ToTensor()(img)) +# output = torch.stack(imgs, dim=0) +# del imgs, img + +# if sharpening > 0: +# output = contrast_adaptive_sharpening(output, sharpening) + +# output = output.permute([0, 2, 3, 1]) + +# return (output,) + + +# class IPAdapterSaveEmbeds: +# def __init__(self): +# self.output_dir = folder_paths.get_output_directory() + +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "embeds": ("EMBEDS",), +# "filename_prefix": ("STRING", {"default": "IP_embeds"}), +# }, +# } + +# RETURN_TYPES = () +# FUNCTION = "save" +# OUTPUT_NODE = True +# CATEGORY = "ipadapter/embeds" + +# def save(self, embeds, filename_prefix): +# ( +# full_output_folder, +# filename, +# counter, +# subfolder, +# filename_prefix, +# ) = folder_paths.get_save_image_path(filename_prefix, self.output_dir) +# file = f"{filename}_{counter:05}.ipadpt" +# file = os.path.join(full_output_folder, file) + +# torch.save(embeds, file) +# return (None,) + + +# class IPAdapterLoadEmbeds: +# @classmethod +# def INPUT_TYPES(s): +# input_dir = folder_paths.get_input_directory() +# files = [ +# os.path.relpath(os.path.join(root, file), input_dir) +# for root, dirs, files in os.walk(input_dir) +# for file in files +# if file.endswith(".ipadpt") +# ] +# return { +# "required": { +# "embeds": [ +# sorted(files), +# ] +# }, +# } + +# RETURN_TYPES = ("EMBEDS",) +# FUNCTION = "load" +# CATEGORY = "ipadapter/embeds" + +# def load(self, embeds): +# path = folder_paths.get_annotated_filepath(embeds) +# return (torch.load(path).cpu(),) + + +# class IPAdapterWeights: +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "weights": ("STRING", {"default": "1.0, 0.0", "multiline": True}), +# "timing": ( +# [ +# "custom", +# "linear", +# "ease_in_out", +# "ease_in", +# "ease_out", +# "random", +# ], +# {"default": "linear"}, +# ), +# "frames": ("INT", {"default": 0, "min": 0, "max": 9999, "step": 1}), +# "start_frame": ( +# "INT", +# {"default": 0, "min": 0, "max": 9999, "step": 1}, +# ), +# "end_frame": ( +# "INT", +# {"default": 9999, "min": 0, "max": 9999, "step": 1}, +# ), +# "add_starting_frames": ( +# "INT", +# {"default": 0, "min": 0, "max": 9999, "step": 1}, +# ), +# "add_ending_frames": ( +# "INT", +# {"default": 0, "min": 0, "max": 9999, "step": 1}, +# ), +# "method": ( +# ["full batch", "shift batches", "alternate batches"], +# {"default": "full batch"}, +# ), +# }, +# "optional": { +# "image": ("IMAGE",), +# }, +# } + +# RETURN_TYPES = ("FLOAT", "FLOAT", "INT", "IMAGE", "IMAGE", "WEIGHTS_STRATEGY") +# RETURN_NAMES = ( +# "weights", +# "weights_invert", +# "total_frames", +# "image_1", +# "image_2", +# "weights_strategy", +# ) +# FUNCTION = "weights" +# CATEGORY = "ipadapter/weights" + + +# class IPAdapterWeightsFromStrategy(IPAdapterWeights): +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "weights_strategy": ("WEIGHTS_STRATEGY",), +# }, +# "optional": { +# "image": ("IMAGE",), +# }, +# } + + +# class IPAdapterPromptScheduleFromWeightsStrategy: +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "weights_strategy": ("WEIGHTS_STRATEGY",), +# "prompt": ("STRING", {"default": "", "multiline": True}), +# } +# } + +# RETURN_TYPES = ("STRING",) +# RETURN_NAMES = ("prompt_schedule",) +# FUNCTION = "prompt_schedule" +# CATEGORY = "ipadapter/weights" + + +# class IPAdapterCombineWeights: +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "weights_1": ( +# "FLOAT", +# {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.05}, +# ), +# "weights_2": ( +# "FLOAT", +# {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.05}, +# ), +# } +# } + +# RETURN_TYPES = ("FLOAT", "INT") +# RETURN_NAMES = ("weights", "count") +# FUNCTION = "combine" +# CATEGORY = "ipadapter/utils" + + +# class IPAdapterRegionalConditioning: +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# # "set_cond_area": (["default", "mask bounds"],), +# "image": ("IMAGE",), +# "image_weight": ( +# "FLOAT", +# {"default": 1.0, "min": -1.0, "max": 3.0, "step": 0.05}, +# ), +# "prompt_weight": ( +# "FLOAT", +# {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.05}, +# ), +# "weight_type": (WEIGHT_TYPES,), +# "start_at": ( +# "FLOAT", +# {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# "end_at": ( +# "FLOAT", +# {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, +# ), +# }, +# "optional": { +# "mask": ("MASK",), +# "positive": ("CONDITIONING",), +# "negative": ("CONDITIONING",), +# }, +# } + +# RETURN_TYPES = ( +# "IPADAPTER_PARAMS", +# "CONDITIONING", +# "CONDITIONING", +# ) +# RETURN_NAMES = ("IPADAPTER_PARAMS", "POSITIVE", "NEGATIVE") +# FUNCTION = "conditioning" + +# CATEGORY = "ipadapter/params" + + +# class IPAdapterCombineParams: +# @classmethod +# def INPUT_TYPES(s): +# return { +# "required": { +# "params_1": ("IPADAPTER_PARAMS",), +# "params_2": ("IPADAPTER_PARAMS",), +# }, +# "optional": { +# "params_3": ("IPADAPTER_PARAMS",), +# "params_4": ("IPADAPTER_PARAMS",), +# "params_5": ("IPADAPTER_PARAMS",), +# }, +# } + +# RETURN_TYPES = ("IPADAPTER_PARAMS",) +# FUNCTION = "combine" +# CATEGORY = "ipadapter/params" + + +# """ +# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +# Register +# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +# """ + +# NODE_CLASS_MAPPINGS = { +# # Main Apply Nodes +# "IPAdapter": IPAdapterSimple, +# "IPAdapterAdvanced": IPAdapterAdvanced, +# "IPAdapterBatch": IPAdapterBatch, +# "IPAdapterFaceID": IPAdapterFaceID, +# "IPAAdapterFaceIDBatch": IPAAdapterFaceIDBatch, +# "IPAdapterTiled": IPAdapterTiled, +# "IPAdapterTiledBatch": IPAdapterTiledBatch, +# "IPAdapterEmbeds": IPAdapterEmbeds, +# "IPAdapterEmbedsBatch": IPAdapterEmbedsBatch, +# "IPAdapterStyleComposition": IPAdapterStyleComposition, +# "IPAdapterStyleCompositionBatch": IPAdapterStyleCompositionBatch, +# "IPAdapterMS": IPAdapterMS, +# "IPAdapterClipVisionEnhancer": IPAdapterClipVisionEnhancer, +# "IPAdapterFromParams": IPAdapterFromParams, +# "IPAdapterPreciseStyleTransfer": IPAdapterPreciseStyleTransfer, +# "IPAdapterPreciseStyleTransferBatch": IPAdapterPreciseStyleTransferBatch, +# "IPAdapterPreciseComposition": IPAdapterPreciseComposition, +# "IPAdapterPreciseCompositionBatch": IPAdapterPreciseCompositionBatch, +# # Loaders +# "IPAdapterUnifiedLoader": IPAdapterUnifiedLoader, +# "IPAdapterUnifiedLoaderFaceID": IPAdapterUnifiedLoaderFaceID, +# "IPAdapterModelLoader": IPAdapterModelLoader, +# "IPAdapterInsightFaceLoader": IPAdapterInsightFaceLoader, +# "IPAdapterUnifiedLoaderCommunity": IPAdapterUnifiedLoaderCommunity, +# # Helpers +# "IPAdapterEncoder": IPAdapterEncoder, +# "IPAdapterCombineEmbeds": IPAdapterCombineEmbeds, +# "IPAdapterNoise": IPAdapterNoise, +# "PrepImageForClipVision": PrepImageForClipVision, +# "IPAdapterSaveEmbeds": IPAdapterSaveEmbeds, +# "IPAdapterLoadEmbeds": IPAdapterLoadEmbeds, +# "IPAdapterWeights": IPAdapterWeights, +# "IPAdapterCombineWeights": IPAdapterCombineWeights, +# "IPAdapterWeightsFromStrategy": IPAdapterWeightsFromStrategy, +# "IPAdapterPromptScheduleFromWeightsStrategy": IPAdapterPromptScheduleFromWeightsStrategy, +# "IPAdapterRegionalConditioning": IPAdapterRegionalConditioning, +# "IPAdapterCombineParams": IPAdapterCombineParams, +# } + +# NODE_DISPLAY_NAME_MAPPINGS = { +# # Main Apply Nodes +# "IPAdapter": "IPAdapter", +# "IPAdapterAdvanced": "IPAdapter Advanced", +# "IPAdapterBatch": "IPAdapter Batch (Adv.)", +# "IPAdapterFaceID": "IPAdapter FaceID", +# "IPAAdapterFaceIDBatch": "IPAdapter FaceID Batch", +# "IPAdapterTiled": "IPAdapter Tiled", +# "IPAdapterTiledBatch": "IPAdapter Tiled Batch", +# "IPAdapterEmbeds": "IPAdapter Embeds", +# "IPAdapterEmbedsBatch": "IPAdapter Embeds Batch", +# "IPAdapterStyleComposition": "IPAdapter Style & Composition SDXL", +# "IPAdapterStyleCompositionBatch": "IPAdapter Style & Composition Batch SDXL", +# "IPAdapterMS": "IPAdapter Mad Scientist", +# "IPAdapterClipVisionEnhancer": "IPAdapter ClipVision Enhancer", +# "IPAdapterFromParams": "IPAdapter from Params", +# "IPAdapterPreciseStyleTransfer": "IPAdapter Precise Style Transfer", +# "IPAdapterPreciseStyleTransferBatch": "IPAdapter Precise Style Transfer Batch", +# "IPAdapterPreciseComposition": "IPAdapter Precise Composition", +# "IPAdapterPreciseCompositionBatch": "IPAdapter Precise Composition Batch", +# # Loaders +# "IPAdapterUnifiedLoader": "IPAdapter Unified Loader", +# "IPAdapterUnifiedLoaderFaceID": "IPAdapter Unified Loader FaceID", +# "IPAdapterModelLoader": "IPAdapter Model Loader", +# "IPAdapterInsightFaceLoader": "IPAdapter InsightFace Loader", +# "IPAdapterUnifiedLoaderCommunity": "IPAdapter Unified Loader Community", +# # Helpers +# "IPAdapterEncoder": "IPAdapter Encoder", +# "IPAdapterCombineEmbeds": "IPAdapter Combine Embeds", +# "IPAdapterNoise": "IPAdapter Noise", +# "PrepImageForClipVision": "Prep Image For ClipVision", +# "IPAdapterSaveEmbeds": "IPAdapter Save Embeds", +# "IPAdapterLoadEmbeds": "IPAdapter Load Embeds", +# "IPAdapterWeights": "IPAdapter Weights", +# "IPAdapterWeightsFromStrategy": "IPAdapter Weights From Strategy", +# "IPAdapterPromptScheduleFromWeightsStrategy": "Prompt Schedule From Weights Strategy", +# "IPAdapterCombineWeights": "IPAdapter Combine Weights", +# "IPAdapterRegionalConditioning": "IPAdapter Regional Conditioning", +# "IPAdapterCombineParams": "IPAdapter Combine Params", +# } diff --git a/src/bizyair/path_utils.py b/src/bizyair/path_utils.py index cb10f677..6783e9e7 100644 --- a/src/bizyair/path_utils.py +++ b/src/bizyair/path_utils.py @@ -4,9 +4,8 @@ from pathlib import Path from typing import Any, List -SupportedFileExtensionsType = set[str] ScanPathType = list[str] -folder_names_and_paths: dict[str, tuple[ScanPathType, SupportedFileExtensionsType]] = {} +folder_names_and_paths: dict[str, ScanPathType] = {} base_path = os.path.dirname(os.path.abspath(__file__)) @@ -87,7 +86,6 @@ def init_config(): for k, v in models_data.items(): if k not in folder_names_and_paths: folder_names_and_paths[k] = [] - print(f"{k=} {recursive_extract_models(v)}") folder_names_and_paths[k].extend(recursive_extract_models(v)) From 7d2d5f3f3d5c416664c32baaf2b8469dad38ea30 Mon Sep 17 00:00:00 2001 From: Yao Chi Date: Thu, 1 Aug 2024 13:57:09 +0800 Subject: [PATCH 15/22] Add docs for bizyair ksampler (#65) * refine * add docs * update kolors docs * add news * refine * refine * refine kolors inpaintig workflow * refine * reformat --- README.md | 1 + bizyair_extras/nodes_kolors_mz/__init__.py | 3 +- .../imgs/bizyair_kolors_controlnet_canny.png | Bin 0 -> 847076 bytes .../imgs/bizyair_kolors_controlnet_depth.png | Bin 0 -> 845241 bytes .../kolors/imgs/bizyair_kolors_img2img.png | Bin 934782 -> 0 bytes .../kolors/imgs/bizyair_kolors_inpainting.png | Bin 0 -> 956341 bytes .../kolors/imgs/bizyair_kolors_ipadapter.png | Bin 0 -> 750531 bytes .../kolors/imgs/bizyair_kolors_txt2img.png | Bin 494824 -> 515758 bytes docs/docs/kolors/introduce.md | 30 +- .../ksampler/imgs/bizyair-conditioning.png | Bin 0 -> 85132 bytes docs/docs/ksampler/imgs/bizyair-ipadapter.jpg | Bin 0 -> 15193 bytes docs/docs/ksampler/imgs/bizyair-ksampler.png | Bin 0 -> 33478 bytes docs/docs/ksampler/imgs/bizyair-latent.png | Bin 0 -> 88688 bytes docs/docs/ksampler/imgs/bizyair-loaders.png | Bin 0 -> 86335 bytes docs/docs/ksampler/introduce.md | 58 +++ docs/mkdocs.yml | 1 + examples/bizyair_kolors_inpainting.json | 454 ++++++++++-------- examples/bizyair_kolors_txt2img.json | 393 +++++++++++++++ examples/bizyair_showcase_caption_redraw.json | 407 +++++++++++----- js/deprecated.js | 5 + kolors.py | 8 +- mzkolors.py | 3 +- showcase.py | 4 +- 23 files changed, 1026 insertions(+), 341 deletions(-) create mode 100644 docs/docs/kolors/imgs/bizyair_kolors_controlnet_canny.png create mode 100644 docs/docs/kolors/imgs/bizyair_kolors_controlnet_depth.png delete mode 100644 docs/docs/kolors/imgs/bizyair_kolors_img2img.png create mode 100644 docs/docs/kolors/imgs/bizyair_kolors_inpainting.png create mode 100644 docs/docs/kolors/imgs/bizyair_kolors_ipadapter.png create mode 100644 docs/docs/ksampler/imgs/bizyair-conditioning.png create mode 100644 docs/docs/ksampler/imgs/bizyair-ipadapter.jpg create mode 100644 docs/docs/ksampler/imgs/bizyair-ksampler.png create mode 100644 docs/docs/ksampler/imgs/bizyair-latent.png create mode 100644 docs/docs/ksampler/imgs/bizyair-loaders.png create mode 100644 examples/bizyair_kolors_txt2img.json diff --git a/README.md b/README.md index be31000f..b15c70bb 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,6 @@ # BizyAir +- [2024/08/01] 🌩️ [BizyAir MinusZone Kolors](https://siliconflow.github.io/BizyAir/kolors/introduce.html) nodes have been released(thanks to [MinusZoneAI/ComfyUI-Kolors-MZ](https://github.com/MinusZoneAI/ComfyUI-Kolors-MZ)), and BizyAir now supports over 10 new base models. They all support ControlNet, LoRA, and IPAdapter. [BizyAir KSampler](https://siliconflow.github.io/BizyAir/ksampler/introduce.html) - [2024/07/31] 🌩️ The super-resolution node has been released, capable of enlarging images four times their original size. [BizyAir Photorealistic Image Super Resolution](https://siliconflow.github.io/BizyAir/others/index.html#bizyair-photorealistic-image-super-resolution) - [2024/07/25] 🌩️ Users can load BizyAir workflow examples directly by clicking the "☁️BizyAir Workflow Examples" button. [Example GIF](./docs/docs/getting-started/imgs/run-bizyair-examples.gif) - [2024/07/23] 🌩️ [BizyAir ChatGLM3 Text Encode](./examples/bizyair_showcase_run_with_local_nodes.json) node is released. diff --git a/bizyair_extras/nodes_kolors_mz/__init__.py b/bizyair_extras/nodes_kolors_mz/__init__.py index 8ab04002..d6a6ebd1 100644 --- a/bizyair_extras/nodes_kolors_mz/__init__.py +++ b/bizyair_extras/nodes_kolors_mz/__init__.py @@ -5,7 +5,7 @@ from bizyair import path_utils as folder_paths AUTHOR_NAME = "MinusZone" -CATEGORY_NAME = f"{AUTHOR_NAME} - Kolors" +CATEGORY_NAME = f"Kolors" class MZ_KolorsUNETLoaderV2(BizyAirBaseNode): @@ -73,6 +73,7 @@ def INPUT_TYPES(s): FUNCTION = "load_controlnet" CATEGORY = CATEGORY_NAME + NODE_DISPLAY_NAME = f"{AUTHOR_NAME} - KolorsControlNetLoader" def load_controlnet(self, **kwargs): node_data = create_node_data( diff --git a/docs/docs/kolors/imgs/bizyair_kolors_controlnet_canny.png b/docs/docs/kolors/imgs/bizyair_kolors_controlnet_canny.png new file mode 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