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app.py
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import argparse
import os
import tempfile
from functools import partial
import cv2
import gradio as gr
import imageio
import numpy as np
import torch
import torchvision
from omegaconf import OmegaConf
from PIL import Image
from pytorch_lightning import seed_everything
from .gradio_utils.camera_utils import CAMERA_MOTION_MODE, process_camera
from .gradio_utils.traj_utils import (OBJECT_MOTION_MODE, get_provided_traj,
process_points, process_traj)
from .gradio_utils.utils import vis_camera
from .lvdm.models.samplers.ddim import DDIMSampler
from .main.evaluation.motionctrl_inference import (DEFAULT_NEGATIVE_PROMPT,
load_model_checkpoint,
post_prompt)
from .utils.utils import instantiate_from_config
os.environ['KMP_DUPLICATE_LIB_OK']='True'
SPACE_ID = os.environ.get('SPACE_ID', '')
#### Description ####
title = r"""<h1 align="center">MotionCtrl: A Unified and Flexible Motion Controller for Video Generation</h1>"""
description = r"""
<b>Official Gradio demo</b> for <a href='https://github.com/TencentARC/MotionCtrl' target='_blank'><b>MotionCtrl: A Unified and Flexible Motion Controller for Video Generation</b></a>.<br>
🔥 MotionCtrl is capable of independently and flexibly controling the camera motion and object motion of a generated video, with only a unified model.<br>
🤗 Try to control the motion of the generated videos yourself!<br>
❗❗❗ Please note that current version of **MotionCtrl** is deployed on **LVDM/VideoCrafter**. The versions that depolyed on **AnimateDiff** and **SVD** will be released soon.<br>
"""
article = r"""
If MotionCtrl is helpful, please help to ⭐ the <a href='https://github.com/TencentARC/MotionCtrl' target='_blank'>Github Repo</a>. Thanks!
[](https://github.com/TencentARC/MotionCtrl)
---
📝 **Citation**
<br>
If our work is useful for your research, please consider citing:
```bibtex
@inproceedings{wang2023motionctrl,
title={MotionCtrl: A Unified and Flexible Motion Controller for Video Generation},
author={Wang, Zhouxia and Yuan, Ziyang and Wang, Xintao and Chen, Tianshui and Xia, Menghan and Luo, Ping and Shan, Yin},
booktitle={arXiv preprint arXiv:2312.03641},
year={2023}
}
```
📧 **Contact**
<br>
If you have any questions, please feel free to reach me out at <b>[email protected]</b>.
"""
css = """
.gradio-container {width: 85% !important}
.gr-monochrome-group {border-radius: 5px !important; border: revert-layer !important; border-width: 2px !important; color: black !important;}
span.svelte-s1r2yt {font-size: 17px !important; font-weight: bold !important; color: #d30f2f !important;}
button {border-radius: 8px !important;}
.add_button {background-color: #4CAF50 !important;}
.remove_button {background-color: #f44336 !important;}
.clear_button {background-color: gray !important;}
.mask_button_group {gap: 10px !important;}
.video {height: 300px !important;}
.image {height: 300px !important;}
.video .wrap.svelte-lcpz3o {display: flex !important; align-items: center !important; justify-content: center !important;}
.video .wrap.svelte-lcpz3o > :first-child {height: 100% !important;}
.margin_center {width: 50% !important; margin: auto !important;}
.jc_center {justify-content: center !important;}
"""
T_base = [
[1.,0.,0.], ## W2C x 的正方向： 相机朝左 left
[-1.,0.,0.], ## W2C x 的负方向： 相机朝右 right
[0., 1., 0.], ## W2C y 的正方向： 相机朝上 up
[0.,-1.,0.], ## W2C y 的负方向： 相机朝下 down
[0.,0.,1.], ## W2C z 的正方向： 相机往前 zoom out
[0.,0.,-1.], ## W2C z 的负方向： 相机往前 zoom in
]
radius = 1
n = 16
# step =
look_at = np.array([0, 0, 0.8]).reshape(3,1)
# look_at = np.array([0, 0, 0.2]).reshape(3,1)
T_list = []
base_R = np.array([[1., 0., 0.],
[0., 1., 0.],
[0., 0., 1.]])
res = []
res_forsave = []
T_range = 1.8
for i in range(0, 16):
# theta = (1)*np.pi*i/n
R = base_R[:,:3]
T = np.array([0.,0.,1.]).reshape(3,1) * (i/n)*2
RT = np.concatenate([R,T], axis=1)
res.append(RT)
fig = vis_camera(res)
# MODE = ["camera motion control", "object motion control", "camera + object motion control"]
MODE = ["control camera poses", "control object trajectory", "control both camera and object motion"]
BASE_MODEL = ['LVDM/VideoCrafter', 'AnimateDiff', 'SVD']
traj_list = []
camera_dict = {
"motion":[],
"mode": "Customized Mode 1: First A then B", # "First A then B", "Both A and B", "Custom"
"speed": 1.0,
"complex": None
}
def fn_vis_camera(info_mode):
global camera_dict
RT = process_camera(camera_dict) # [t, 3, 4]
if camera_dict['complex'] is not None:
# rescale T to [-2,2]
for i in range(3):
min_T = np.min(RT[:,i,-1])
max_T = np.max(RT[:,i,-1])
if min_T < -2 or max_T > 2:
RT[:,i,-1] = RT[:,i,-1] - min_T
RT[:,i,-1] = RT[:,i,-1] / (np.max(RT[:,:,-1]) + 1e-6)
RT[:,i,-1] = RT[:,i,-1] * 4
RT[:,i,-1] = RT[:,i,-1] - 2
fig = vis_camera(RT)
if info_mode == MODE[0]:
vis_step3_prompt_generate = True
vis_prompt = True
vis_num_samples = True
vis_seed = True
vis_start = True
vis_gen_video = True
vis_object_mode = False
vis_object_info = False
else:
vis_step3_prompt_generate = False
vis_prompt = False
vis_num_samples = False
vis_seed = False
vis_start = False
vis_gen_video = False
vis_object_mode = True
vis_object_info = True
return fig, \
gr.update(visible=vis_object_mode), \
gr.update(visible=vis_object_info), \
gr.update(visible=vis_step3_prompt_generate), \
gr.update(visible=vis_prompt), \
gr.update(visible=vis_num_samples), \
gr.update(visible=vis_seed), \
gr.update(visible=vis_start), \
gr.update(visible=vis_gen_video, value=None)
def fn_vis_traj():
global traj_list
xy_range = 1024
points = process_points(traj_list)
imgs = []
for idx in range(16):
bg_img = np.ones((1024, 1024, 3), dtype=np.uint8) * 255
for i in range(15):
p = points[i]
p1 = points[i+1]
cv2.line(bg_img, p, p1, (255, 0, 0), 2)
if i == idx:
cv2.circle(bg_img, p, 2, (0, 255, 0), 20)
if idx==(15):
cv2.circle(bg_img, points[-1], 2, (0, 255, 0), 20)
imgs.append(bg_img.astype(np.uint8))
# size = (512, 512)
fps = 10
path = tempfile.NamedTemporaryFile(suffix='.mp4', delete=False).name
writer = imageio.get_writer(path, format='mp4', mode='I', fps=fps)
for img in imgs:
writer.append_data(img)
writer.close()
vis_step3_prompt_generate = True
vis_prompt = True
vis_num_samples = True
vis_seed = True
vis_start = True
vis_gen_video = True
return path, gr.update(visible=vis_step3_prompt_generate), \
gr.update(visible=vis_prompt), \
gr.update(visible=vis_num_samples), \
gr.update(visible=vis_seed), \
gr.update(visible=vis_start), \
gr.update(visible=vis_gen_video, value=None)
def display_camera_info(camera_dict, camera_mode=None):
if camera_dict['complex'] is not None:
res = f"complex : {camera_dict['complex']}. "
else:
res = ""
res += f"motion : {[_ for _ in camera_dict['motion']]}. "
res += f"speed : {camera_dict['speed']}. "
if camera_mode == CAMERA_MOTION_MODE[2]:
res += f"mode : {camera_dict['mode']}. "
return res
def add_traj_point(evt: gr.SelectData, ):
global traj_list
traj_list.append(evt.index)
traj_str = [f"{traj}" for traj in traj_list]
return ", ".join(traj_str)
def add_provided_traj(traj_name):
global traj_list
traj_list = get_provided_traj(traj_name)
traj_str = [f"{traj}" for traj in traj_list]
return ", ".join(traj_str)
def add_camera_motion(camera_motion, camera_mode):
global camera_dict
if camera_dict['complex'] is not None:
camera_dict['complex'] = None
if camera_mode == CAMERA_MOTION_MODE[2] and len(camera_dict['motion']) <2:
camera_dict['motion'].append(camera_motion)
else:
camera_dict['motion']=[camera_motion]
return display_camera_info(camera_dict, camera_mode)
def add_complex_camera_motion(camera_motion):
global camera_dict
camera_dict['complex']=camera_motion
return display_camera_info(camera_dict)
def change_camera_mode(combine_type, camera_mode):
global camera_dict
camera_dict['mode'] = combine_type
return display_camera_info(camera_dict, camera_mode)
def change_camera_speed(camera_speed):
global camera_dict
camera_dict['speed'] = camera_speed
return display_camera_info(camera_dict)
def reset_camera():
global camera_dict
camera_dict = {
"motion":[],
"mode": "Customized Mode 1: First A then B",
"speed": 1.0,
"complex": None
}
return display_camera_info(camera_dict)
def fn_traj_droplast():
global traj_list
if traj_list:
traj_list.pop()
if traj_list:
traj_str = [f"{traj}" for traj in traj_list]
return ", ".join(traj_str)
else:
return "Click to specify trajectory"
def fn_traj_reset():
global traj_list
traj_list = []
return "Click to specify trajectory"
###########################################
model_path='./checkpoints/motionctrl.pth'
config_path='./configs/inference/config_both.yaml'
config = OmegaConf.load(config_path)
model_config = config.pop("model", OmegaConf.create())
model = instantiate_from_config(model_config)
if torch.cuda.is_available():
model = model.cuda()
model = load_model_checkpoint(model, model_path)
model.eval()
def model_run(prompts, infer_mode, seed, n_samples):
global traj_list
global camera_dict
RT = process_camera(camera_dict).reshape(-1,12)
traj_flow = process_traj(traj_list).transpose(3,0,1,2)
print(prompts)
print(RT.shape)
print(traj_flow.shape)
noise_shape = [1, 4, 16, 32, 32]
unconditional_guidance_scale = 7.5
unconditional_guidance_scale_temporal = None
# n_samples = 1
ddim_steps= 50
ddim_eta=1.0
cond_T=800
if n_samples < 1:
n_samples = 1
if n_samples > 4:
n_samples = 4
seed_everything(seed)
if infer_mode == MODE[0]:
camera_poses = RT
camera_poses = torch.tensor(camera_poses).float()
camera_poses = camera_poses.unsqueeze(0)
trajs = None
if torch.cuda.is_available():
camera_poses = camera_poses.cuda()
elif infer_mode == MODE[1]:
trajs = traj_flow
trajs = torch.tensor(trajs).float()
trajs = trajs.unsqueeze(0)
camera_poses = None
if torch.cuda.is_available():
trajs = trajs.cuda()
else:
camera_poses = RT
trajs = traj_flow
camera_poses = torch.tensor(camera_poses).float()
trajs = torch.tensor(trajs).float()
camera_poses = camera_poses.unsqueeze(0)
trajs = trajs.unsqueeze(0)
if torch.cuda.is_available():
camera_poses = camera_poses.cuda()
trajs = trajs.cuda()
ddim_sampler = DDIMSampler(model)
batch_size = noise_shape[0]
## get condition embeddings (support single prompt only)
if isinstance(prompts, str):
prompts = [prompts]
for i in range(len(prompts)):
prompts[i] = f'{prompts[i]}, {post_prompt}'
cond = model.get_learned_conditioning(prompts)
if camera_poses is not None:
RT = camera_poses[..., None]
else:
RT = None
if trajs is not None:
traj_features = model.get_traj_features(trajs)
else:
traj_features = None
if unconditional_guidance_scale != 1.0:
# prompts = batch_size * [""]
prompts = batch_size * [DEFAULT_NEGATIVE_PROMPT]
uc = model.get_learned_conditioning(prompts)
if traj_features is not None:
un_motion = model.get_traj_features(torch.zeros_like(trajs))
else:
un_motion = None
uc = {"features_adapter": un_motion, "uc": uc}
else:
uc = None
batch_variants = []
for _ in range(n_samples):
if ddim_sampler is not None:
samples, _ = ddim_sampler.sample(S=ddim_steps,
conditioning=cond,
batch_size=noise_shape[0],
shape=noise_shape[1:],
verbose=False,
unconditional_guidance_scale=unconditional_guidance_scale,
unconditional_conditioning=uc,
eta=ddim_eta,
temporal_length=noise_shape[2],
conditional_guidance_scale_temporal=unconditional_guidance_scale_temporal,
features_adapter=traj_features,
pose_emb=RT,
cond_T=cond_T
)
## reconstruct from latent to pixel space
batch_images = model.decode_first_stage(samples)
batch_variants.append(batch_images)
## variants, batch, c, t, h, w
batch_variants = torch.stack(batch_variants, dim=1)
batch_variants = batch_variants[0]
# file_path = save_results(batch_variants, "MotionCtrl", "gradio_temp", fps=10)
file_path = save_results(batch_variants, fps=10)
print(file_path)
return gr.update(value=file_path, width=256*n_samples, height=256)
# return file_path
def save_results(video, fps=10):
# b,c,t,h,w
video = video.detach().cpu()
video = torch.clamp(video.float(), -1., 1.)
n = video.shape[0]
video = video.permute(2, 0, 1, 3, 4) # t,n,c,h,w
frame_grids = [torchvision.utils.make_grid(framesheet, nrow=int(n)) for framesheet in video] #[3, 1*h, n*w]
grid = torch.stack(frame_grids, dim=0) # stack in temporal dim [t, 3, n*h, w]
grid = (grid + 1.0) / 2.0
grid = (grid * 255).to(torch.uint8).permute(0, 2, 3, 1) # [t, h, w*n, 3]
path = tempfile.NamedTemporaryFile(suffix='.mp4', delete=False).name
writer = imageio.get_writer(path, format='mp4', mode='I', fps=fps)
for i in range(grid.shape[0]):
img = grid[i].numpy()
writer.append_data(img)
writer.close()
return path
def visualized_step2(infer_mode):
# reset
reset_camera()
fn_traj_reset()
# camera motion control
vis_basic_camera_motion = False
vis_basic_camera_motion_des = False
vis_custom_camera_motion = False
vis_custom_run_status = False
vis_complex_camera_motion = False
vis_complex_camera_motion_des = False
vis_U = False
vis_D = False
vis_L = False
vis_R = False
vis_I = False
vis_O = False
vis_ACW = False
vis_CW = False
vis_combine1 = False
vis_combine2 = False
vis_speed = False
vis_Pose_1, vis_Pose_2, vis_Pose_3, vis_Pose_4 = False, False, False, False
vis_Pose_5, vis_Pose_6, vis_Pose_7, vis_Pose_8 = False, False, False, False
vis_camera_args = False
vis_camera_reset = False
vis_camera_vis = False
vis_vis_camera = False
# object motion control
vis_provided_traj = False
vis_provided_traj_des = False
vis_draw_yourself = False
vis_draw_run_status = False
vis_traj_1, vis_traj_2, vis_traj_3, vis_traj_4 = False, False, False, False
vis_traj_5, vis_traj_6, vis_traj_7, vis_traj_8 = False, False, False, False
traj_args = False
traj_droplast, traj_reset = False, False
traj_vis = False
traj_input, vis_traj = False, False
# generate video
vis_step3_prompt_generate = False
vis_prompt = False
vis_num_samples = False
vis_seed = False
vis_start = False
vis_gen_video = False
if infer_mode == MODE[0]:
vis_step2_camera_motion = True
vis_step2_camera_motion_des = True
vis_camera_mode = True
vis_camera_info = True
vis_step2_object_motion = False
vis_step2_object_motion_des = False
vis_traj_mode = False
vis_traj_info = False
step2_camera_object_motion = False
step2_camera_object_motion_des = False
elif infer_mode == MODE[1]:
vis_step2_camera_motion = False
vis_step2_camera_motion_des = False
vis_camera_mode = False
vis_camera_info = False
vis_step2_object_motion = True
vis_step2_object_motion_des = True
vis_traj_mode = True
vis_traj_info = True
step2_camera_object_motion = False
step2_camera_object_motion_des = False
else: #infer_mode == MODE[2]:
vis_step2_camera_motion = False
vis_step2_camera_motion_des = False
vis_camera_mode = False
vis_camera_info = False
vis_step2_object_motion = False
vis_step2_object_motion_des = False
vis_traj_mode = False
vis_traj_info = False
step2_camera_object_motion = True
step2_camera_object_motion_des = True
vis_basic_camera_motion = True
vis_basic_camera_motion_des = True
vis_U = True
vis_D = True
vis_L = True
vis_R = True
vis_I = True
vis_O = True
vis_ACW = True
vis_CW = True
vis_speed = True
vis_camera_args = True
vis_camera_reset = True
vis_camera_vis = True
vis_vis_camera = True
return gr.update(visible=vis_step2_camera_motion), \
gr.update(visible=vis_step2_camera_motion_des), \
gr.update(visible=vis_camera_mode), \
gr.update(visible=vis_camera_info), \
gr.update(visible=vis_basic_camera_motion), \
gr.update(visible=vis_basic_camera_motion_des), \
gr.update(visible=vis_custom_camera_motion), \
gr.update(visible=vis_custom_run_status), \
gr.update(visible=vis_complex_camera_motion), \
gr.update(visible=vis_complex_camera_motion_des), \
gr.update(visible=vis_U), gr.update(visible=vis_D), gr.update(visible=vis_L), gr.update(visible=vis_R), \
gr.update(visible=vis_I), gr.update(visible=vis_O), gr.update(visible=vis_ACW), gr.update(visible=vis_CW), \
gr.update(visible=vis_combine1), gr.update(visible=vis_combine2), \
gr.update(visible=vis_speed), \
gr.update(visible=vis_Pose_1), gr.update(visible=vis_Pose_2), gr.update(visible=vis_Pose_3), gr.update(visible=vis_Pose_4), \
gr.update(visible=vis_Pose_5), gr.update(visible=vis_Pose_6), gr.update(visible=vis_Pose_7), gr.update(visible=vis_Pose_8), \
gr.update(visible=vis_camera_args, value=None), \
gr.update(visible=vis_camera_reset), gr.update(visible=vis_camera_vis), \
gr.update(visible=vis_vis_camera, value=None), \
gr.update(visible=vis_step2_object_motion), \
gr.update(visible=vis_step2_object_motion_des), \
gr.update(visible=vis_traj_mode), \
gr.update(visible=vis_traj_info), \
gr.update(visible=vis_provided_traj), \
gr.update(visible=vis_provided_traj_des), \
gr.update(visible=vis_draw_yourself), \
gr.update(visible=vis_draw_run_status), \
gr.update(visible=vis_traj_1), gr.update(visible=vis_traj_2), gr.update(visible=vis_traj_3), gr.update(visible=vis_traj_4), \
gr.update(visible=vis_traj_5), gr.update(visible=vis_traj_6), gr.update(visible=vis_traj_7), gr.update(visible=vis_traj_8), \
gr.update(visible=traj_args), \
gr.update(visible=traj_droplast), gr.update(visible=traj_reset), \
gr.update(visible=traj_vis), \
gr.update(visible=traj_input), gr.update(visible=vis_traj, value=None), \
gr.update(visible=step2_camera_object_motion), \
gr.update(visible=step2_camera_object_motion_des), \
gr.update(visible=vis_step3_prompt_generate), \
gr.update(visible=vis_prompt), \
gr.update(visible=vis_num_samples), \
gr.update(visible=vis_seed), \
gr.update(visible=vis_start), \
gr.update(visible=vis_gen_video)
def visualized_camera_poses(step2_camera_motion):
reset_camera()
# generate video
vis_step3_prompt_generate = False
vis_prompt = False
vis_num_samples = False
vis_seed = False
vis_start = False
vis_gen_video = False
if step2_camera_motion == CAMERA_MOTION_MODE[0]:
vis_basic_camera_motion = True
vis_basic_camera_motion_des = True
vis_custom_camera_motion = False
vis_custom_run_status = False
vis_complex_camera_motion = False
vis_complex_camera_motion_des = False
vis_U = True
vis_D = True
vis_L = True
vis_R = True
vis_I = True
vis_O = True
vis_ACW = True
vis_CW = True
vis_combine1 = False
vis_combine2 = False
vis_speed = True
vis_Pose_1, vis_Pose_2, vis_Pose_3, vis_Pose_4 = False, False, False, False
vis_Pose_5, vis_Pose_6, vis_Pose_7, vis_Pose_8 = False, False, False, False
elif step2_camera_motion == CAMERA_MOTION_MODE[1]:
vis_basic_camera_motion = False
vis_basic_camera_motion_des = False
vis_custom_camera_motion = False
vis_custom_run_status = False
vis_complex_camera_motion = True
vis_complex_camera_motion_des = True
vis_U = False
vis_D = False
vis_L = False
vis_R = False
vis_I = False
vis_O = False
vis_ACW = False
vis_CW = False
vis_combine1 = False
vis_combine2 = False
vis_speed = False
vis_Pose_1, vis_Pose_2, vis_Pose_3, vis_Pose_4 = True, True, True, True
vis_Pose_5, vis_Pose_6, vis_Pose_7, vis_Pose_8 = True, True, True, True
else: # step2_camera_motion = CAMERA_MOTION_MODE[2]:
vis_basic_camera_motion = False
vis_basic_camera_motion_des = False
vis_custom_camera_motion = True
vis_custom_run_status = True
vis_complex_camera_motion = False
vis_complex_camera_motion_des = False
vis_U = True
vis_D = True
vis_L = True
vis_R = True
vis_I = True
vis_O = True
vis_ACW = True
vis_CW = True
vis_combine1 = True
vis_combine2 = True
vis_speed = True
vis_Pose_1, vis_Pose_2, vis_Pose_3, vis_Pose_4 = False, False, False, False
vis_Pose_5, vis_Pose_6, vis_Pose_7, vis_Pose_8 = False, False, False, False
vis_camera_args = True
vis_camera_reset = True
vis_camera_vis = True
vis_vis_camera = True
return gr.update(visible=vis_basic_camera_motion), \
gr.update(visible=vis_basic_camera_motion_des), \
gr.update(visible=vis_custom_camera_motion), \
gr.update(visible=vis_custom_run_status), \
gr.update(visible=vis_complex_camera_motion), \
gr.update(visible=vis_complex_camera_motion_des), \
gr.update(visible=vis_U), gr.update(visible=vis_D), gr.update(visible=vis_L), gr.update(visible=vis_R), \
gr.update(visible=vis_I), gr.update(visible=vis_O), gr.update(visible=vis_ACW), gr.update(visible=vis_CW), \
gr.update(visible=vis_combine1), gr.update(visible=vis_combine2), \
gr.update(visible=vis_speed), \
gr.update(visible=vis_Pose_1), gr.update(visible=vis_Pose_2), gr.update(visible=vis_Pose_3), gr.update(visible=vis_Pose_4), \
gr.update(visible=vis_Pose_5), gr.update(visible=vis_Pose_6), gr.update(visible=vis_Pose_7), gr.update(visible=vis_Pose_8), \
gr.update(visible=vis_camera_args, value=None), \
gr.update(visible=vis_camera_reset), gr.update(visible=vis_camera_vis), \
gr.update(visible=vis_vis_camera, value=None), \
gr.update(visible=vis_step3_prompt_generate), \
gr.update(visible=vis_prompt), \
gr.update(visible=vis_num_samples), \
gr.update(visible=vis_seed), \
gr.update(visible=vis_start), \
gr.update(visible=vis_gen_video)
def visualized_traj_poses(step2_object_motion):
fn_traj_reset()
# generate video
vis_step3_prompt_generate = False
vis_prompt = False
vis_num_samples = False
vis_seed = False
vis_start = False
vis_gen_video = False
if step2_object_motion == "Provided Trajectory":
vis_provided_traj = True
vis_provided_traj_des = True
vis_draw_yourself = False
vis_draw_run_status = False
vis_traj_1, vis_traj_2, vis_traj_3, vis_traj_4 = True, True, True, True
vis_traj_5, vis_traj_6, vis_traj_7, vis_traj_8 = True, True, True, True
traj_args = True
traj_droplast, traj_reset = False, True
traj_vis = True
traj_input, vis_traj = False, True
elif step2_object_motion == "Custom Trajectory":
vis_provided_traj = False
vis_provided_traj_des = False
vis_draw_yourself = True
vis_draw_run_status = True
vis_traj_1, vis_traj_2, vis_traj_3, vis_traj_4 = False, False, False, False
vis_traj_5, vis_traj_6, vis_traj_7, vis_traj_8 = False, False, False, False
traj_args = True
traj_droplast, traj_reset = True, True
traj_vis = True
traj_input, vis_traj = True, True
return gr.update(visible=vis_provided_traj), \
gr.update(visible=vis_provided_traj_des), \
gr.update(visible=vis_draw_yourself), \
gr.update(visible=vis_draw_run_status), \
gr.update(visible=vis_traj_1), gr.update(visible=vis_traj_2), gr.update(visible=vis_traj_3), gr.update(visible=vis_traj_4), \
gr.update(visible=vis_traj_5), gr.update(visible=vis_traj_6), gr.update(visible=vis_traj_7), gr.update(visible=vis_traj_8), \
gr.update(visible=traj_args), \
gr.update(visible=traj_droplast), gr.update(visible=traj_reset), \
gr.update(visible=traj_vis), \
gr.update(visible=traj_input), gr.update(visible=vis_traj, value=None), \
gr.update(visible=vis_step3_prompt_generate), \
gr.update(visible=vis_prompt), \
gr.update(visible=vis_num_samples), \
gr.update(visible=vis_seed), \
gr.update(visible=vis_start), \
gr.update(visible=vis_gen_video)
def main(args):
demo = gr.Blocks()
with demo:
gr.Markdown(title)
gr.Markdown(description)
# state = gr.State({
# "mode": "camera_only",
# "camera_input": [],
# "traj_input": [],
# })
with gr.Column():
'''
# step 0: select based model.
gr.Markdown("## Step0: Selecting the model", show_label=False)
gr.Markdown( f'- {BASE_MODEL[0]}: **MotionCtrl** deployed on {BASE_MODEL[0]}', show_label=False)
gr.Markdown( f'- {BASE_MODEL[1]}: **MotionCtrl** deployed on {BASE_MODEL[1]}', show_label=False)
gr.Markdown( f'- {BASE_MODEL[2]}: **MotionCtrl** deployed on {BASE_MODEL[2]}', show_label=False)
gr.Markdown( f'- **Only the model that deployed on {BASE_MODEL[0]} is avalible now. MotionCtrl models deployed on {BASE_MODEL[1]} and {BASE_MODEL[2]} are coming soon.**', show_label=False)
gr.Radio(choices=BASE_MODEL, value=BASE_MODEL[0], label="Based Model", interactive=False)
'''
# step 1: select motion control mode
gr.Markdown("## Step 1/3: Selecting the motion control mode", show_label=False)
gr.Markdown( f'- {MODE[0]}: Control the camera motion only', show_label=False)
gr.Markdown( f'- {MODE[1]}: Control the object motion only', show_label=False)
gr.Markdown( f'- {MODE[2]}: Control both the camera and object motion', show_label=False)
gr.Markdown( f'- Click `Proceed` to go into next step', show_label=False)
infer_mode = gr.Radio(choices=MODE, value=MODE[0], label="Motion Control Mode", interactive=True)
mode_info = gr.Button(value="Proceed")
# step2 - camera + object motion control
step2_camera_object_motion = gr.Markdown("---\n## Step 2/3: Select the camera poses and trajectory", show_label=False, visible=False)
step2_camera_object_motion_des = gr.Markdown(f"\n 1. Select a basic camera pose. \
\n 2. Select a provided trajectory or draw the trajectory yourself.",
show_label=False, visible=False)
# step2 - camera motion control
step2_camera_motion = gr.Markdown("---\n## Step 2/3: Select the camera poses", show_label=False, visible=False)
step2_camera_motion_des = gr.Markdown(f"\n - {CAMERA_MOTION_MODE[0]}: Including 8 basic camera poses, such as pan up, pan down, zoom in, and zoom out. \
\n - {CAMERA_MOTION_MODE[1]}: Complex camera poses extracted from the real videos. \
\n - {CAMERA_MOTION_MODE[2]}: You can customize complex camera poses yourself by combining or fusing two of the eight basic camera poses. \
\n - Click `Proceed` to go into next step",
show_label=False, visible=False)
camera_mode = gr.Radio(choices=CAMERA_MOTION_MODE, value=CAMERA_MOTION_MODE[0], label="Camera Motion Control Mode", interactive=True, visible=False)
camera_info = gr.Button(value="Proceed", visible=False)
with gr.Row():
with gr.Column():
# step2.1 - camera motion control - basic
basic_camera_motion = gr.Markdown("---\n### Basic Camera Poses", show_label=False, visible=False)
basic_camera_motion_des = gr.Markdown(f"\n 1. Click one of the basic camera poses, such as `Pan Up`; \
\n 2. Slide the `Motion speed` to get a speed value. The large the value, the fast the camera motion; \
\n 3. Click `Visualize Camera and Proceed` to visualize the camera poses and go proceed; \
\n 4. Click `Reset Camera` to reset the camera poses (If needed). ",
show_label=False, visible=False)
# step2.2 - camera motion control - provided complex
complex_camera_motion = gr.Markdown("---\n### Provided Complex Camera Poses", show_label=False, visible=False)
complex_camera_motion_des = gr.Markdown(f"\n 1. Click one of the complex camera poses, such as `Pose_1`; \
\n 2. Click `Visualize Camera and Proceed` to visualize the camera poses and go proceed; \
\n 3. Click `Reset Camera` to reset the camera poses (If needed). ",
show_label=False, visible=False)
# step2.3 - camera motion control - custom
custom_camera_motion = gr.Markdown(f"---\n### {CAMERA_MOTION_MODE[2]}", show_label=False, visible=False)
custom_run_status = gr.Markdown(f"\n 1. Click two of the basic camera poses, such as `Pan Up` and `Pan Left`; \
\n 2. Click `Customized Mode 1: First A then B` or `Customized Mode 1: First A then B` \
\n - `Customized Mode 1: First A then B`: The camera first `Pan Up` and then `Pan Left`; \
\n - `Customized Mode 2: Both A and B`: The camera move towards the upper left corner; \
\n 3. Slide the `Motion speed` to get a speed value. The large the value, the fast the camera motion; \
\n 4. Click `Visualize Camera and Proceed` to visualize the camera poses and go proceed; \
\n 5. Click `Reset Camera` to reset the camera poses (If needed). ",
show_label=False, visible=False)
gr.HighlightedText(value=[("",""), ("1. Select two of the basic camera poses; 2. Select Customized Mode 1 OR Customized Mode 2. 3. Visualized Camera to show the customized camera poses", "Normal")],
color_map={"Normal": "green", "Error": "red", "Clear clicks": "gray", "Add mask": "green", "Remove mask": "red"}, visible=False)
with gr.Row():
U = gr.Button(value="Pan Up", visible=False)
D = gr.Button(value="Pan Down", visible=False)
L = gr.Button(value="Pan Left", visible=False)
R = gr.Button(value="Pan Right", visible=False)
with gr.Row():
I = gr.Button(value="Zoom In", visible=False)
O = gr.Button(value="Zoom Out", visible=False)
ACW = gr.Button(value="ACW", visible=False)
CW = gr.Button(value="CW", visible=False)
with gr.Row():
combine1 = gr.Button(value="Customized Mode 1: First A then B", visible=False)
combine2 = gr.Button(value="Customized Mode 2: Both A and B", visible=False)
with gr.Row():
speed = gr.Slider(minimum=0, maximum=2, step=0.2, label="Motion Speed", value=1.0, visible=False)
with gr.Row():
Pose_1 = gr.Button(value="Pose_1", visible=False)
Pose_2 = gr.Button(value="Pose_2", visible=False)
Pose_3 = gr.Button(value="Pose_3", visible=False)
Pose_4 = gr.Button(value="Pose_4", visible=False)
with gr.Row():
Pose_5 = gr.Button(value="Pose_5", visible=False)
Pose_6 = gr.Button(value="Pose_6", visible=False)
Pose_7 = gr.Button(value="Pose_7", visible=False)
Pose_8 = gr.Button(value="Pose_8", visible=False)
with gr.Row():
camera_args = gr.Textbox(value="Camera Type", label="Camera Type", visible=False)
with gr.Row():
camera_vis= gr.Button(value="Visualize Camera and Proceed", visible=False)
camera_reset = gr.Button(value="Reset Camera", visible=False)
with gr.Column():
vis_camera = gr.Plot(fig, label='Camera Poses', visible=False)
# step2 - object motion control
step2_object_motion = gr.Markdown("---\n## Step 2/3: Select a Provided Trajectory of Draw Yourself", show_label=False, visible=False)
step2_object_motion_des = gr.Markdown(f"\n - {OBJECT_MOTION_MODE[0]}: We provide some example trajectories. You can select one of them directly. \
\n - {OBJECT_MOTION_MODE[1]}: Draw the trajectory yourself. \
\n - Click `Proceed` to go into next step",
show_label=False, visible=False)
object_mode = gr.Radio(choices=OBJECT_MOTION_MODE, value=OBJECT_MOTION_MODE[0], label="Motion Control Mode", interactive=True, visible=False)
object_info = gr.Button(value="Proceed", visible=False)
with gr.Row():
with gr.Column():
# step2.1 - object motion control - provided
provided_traj = gr.Markdown("---\n### Provided Trajectory", show_label=False, visible=False)
provided_traj_des = gr.Markdown(f"\n 1. Click one of the provided trajectories, such as `horizon_1`; \
\n 2. Click `Visualize Trajectory and Proceed` to visualize the trajectory and go proceed; \
\n 3. Click `Reset Trajectory` to reset the trajectory (If needed). ",
show_label=False, visible=False)
# step2.2 - object motion control - draw yourself
draw_traj = gr.Markdown("---\n### Draw Yourself", show_label=False, visible=False)
draw_run_status = gr.Markdown(f"\n 1. Click the `Canvas` in the right to draw the trajectory. **Note that You have to click the canva many times. For time saving, \
the click point will not appear in the canvas but its coordinates will be written in `Points of Trajectory`**; \
\n 2. Click `Visualize Trajectory and Proceed` to visualize the trajectory and go proceed; \
\n 3. Click `Reset Trajectory` to reset the trajectory (If needed). ",
show_label=False, visible=False)
with gr.Row():
traj_1 = gr.Button(value="horizon_1", visible=False)
traj_2 = gr.Button(value="swaying_1", visible=False)
traj_3 = gr.Button(value="swaying_2", visible=False)
traj_4 = gr.Button(value="swaying_3", visible=False)
with gr.Row():
traj_5 = gr.Button(value="curve_1", visible=False)
traj_6 = gr.Button(value="curve_2", visible=False)
traj_7 = gr.Button(value="curve_3", visible=False)
traj_8 = gr.Button(value="curve_4", visible=False)
traj_args = gr.Textbox(value="", label="Points of Trajectory", visible=False)
with gr.Row():
traj_vis = gr.Button(value="Visualize Trajectory and Proceed", visible=False)
traj_reset = gr.Button(value="Reset Trajectory", visible=False)
traj_droplast = gr.Button(value="Drop Last Point", visible=False)
with gr.Column():
traj_input = gr.Image("assets/traj_layout.png", tool='sketch', source="canvas",
width=256, height=256,
label="Canvas for Drawing", visible=False)
vis_traj = gr.Video(value=None, label="Trajectory", visible=False, width=256, height=256)
# step3 - Add prompt and Generate videos
with gr.Row():
with gr.Column():
step3_prompt_generate = gr.Markdown("---\n## Step 3/3: Add prompt and Generate videos", show_label=False, visible=False)
prompt = gr.Textbox(value="a dog sitting on grass", label="Prompt", interactive=True, visible=False)
n_samples = gr.Number(value=3, precision=0, interactive=True, label="n_samples", visible=False)
seed = gr.Number(value=1234, precision=0, interactive=True, label="Seed", visible=False)
start = gr.Button(value="Start generation !", visible=False)
with gr.Column():
gen_video = gr.Video(value=None, label="Generate Video", visible=False)
mode_info.click(
fn=visualized_step2,
inputs=[infer_mode],
outputs=[step2_camera_motion,
step2_camera_motion_des,
camera_mode,
camera_info,
basic_camera_motion,
basic_camera_motion_des,
custom_camera_motion,
custom_run_status,
complex_camera_motion,
complex_camera_motion_des,
U, D, L, R,
I, O, ACW, CW,
combine1, combine2,
speed,
Pose_1, Pose_2, Pose_3, Pose_4,
Pose_5, Pose_6, Pose_7, Pose_8,
camera_args,
camera_reset, camera_vis,
vis_camera,
step2_object_motion,
step2_object_motion_des,
object_mode,
object_info,
provided_traj,
provided_traj_des,
draw_traj,
draw_run_status,
traj_1, traj_2, traj_3, traj_4,
traj_5, traj_6, traj_7, traj_8,
traj_args,
traj_droplast, traj_reset,
traj_vis,
traj_input, vis_traj,
step2_camera_object_motion,
step2_camera_object_motion_des,
step3_prompt_generate, prompt, n_samples, seed, start, gen_video,
],
)
camera_info.click(
fn=visualized_camera_poses,
inputs=[camera_mode],