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Make text2video work on CPU #236

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Make text2video work on CPU #236

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d6de65e
Update process_modelscope.py
FederalSafe987 Nov 12, 2023
f856f6e
Update t2v_pipeline.py
FederalSafe987 Nov 12, 2023
48dd3f6
Update sampler.py
FederalSafe987 Dec 4, 2023
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4 changes: 2 additions & 2 deletions scripts/modelscope/process_modelscope.py
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Original file line number Diff line number Diff line change
Expand Up @@ -131,7 +131,7 @@ def process_modelscope(args_dict, extra_args=None):

print(f"Converted the frames to tensor {bfchw.shape}")

vd_out = torch.from_numpy(bcfhw).to("cuda")
vd_out = torch.from_numpy(bcfhw).to("cpu")

# should be -1,1, not 0,1
vd_out = 2 * vd_out - 1
Expand Down Expand Up @@ -187,7 +187,7 @@ def process_modelscope(args_dict, extra_args=None):

print(f"Converted the frames to tensor {bfchw.shape}")

vd_out = torch.from_numpy(bcfhw).to("cuda")
vd_out = torch.from_numpy(bcfhw).to("cpu")

# should be -1,1, not 0,1
vd_out = 2 * vd_out - 1
Expand Down
12 changes: 6 additions & 6 deletions scripts/modelscope/t2v_pipeline.py
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Expand Up @@ -100,8 +100,8 @@ def __init__(self, model_dir):
strict=True,
)
self.sd_model.eval()
if not devices.has_mps() or torch.cuda.is_available() == True:
self.sd_model.half()
#if not devices.has_mps() or torch.cuda.is_available() == True:
# self.sd_model.half()

# Initialize diffusion
betas = beta_schedule(
Expand Down Expand Up @@ -145,8 +145,8 @@ def __init__(self, model_dir):
self.clip_encoder.to("cpu")
self.noise_gen = torch.Generator(device='cpu')

def compute_latents(self, vd_out, cpu_vae='GPU (half precision)', device=torch.device('cuda')):
self.device = device
def compute_latents(self, vd_out, cpu_vae='CPU', device=torch.device('cpu')):
self.device = torch.device('cpu')
with torch.no_grad():
bs_vd, c, max_frames, height, width = vd_out.shape
scale_factor = 0.18215
Expand Down Expand Up @@ -205,7 +205,7 @@ def infer(
width=256,
height=256,
eta=0.0,
cpu_vae='GPU (half precision)',
cpu_vae='CPU',
device=torch.device('cpu'),
latents=None,
skip_steps=0,
Expand Down Expand Up @@ -245,7 +245,7 @@ def infer(
A generated video (as list of np.arrays).
"""

self.device = device
self.device = torch.device('cpu')
self.clip_encoder.to(self.device)
self.clip_encoder.device = self.device
steps = steps - skip_steps
Expand Down
2 changes: 1 addition & 1 deletion scripts/samplers/ddim/sampler.py
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Expand Up @@ -8,7 +8,7 @@
from t2v_helpers.general_utils import reconstruct_conds

class DDIMSampler(object):
def __init__(self, model, schedule="linear", device=torch.device("cuda"), **kwargs):
def __init__(self, model, schedule="linear", device=torch.device("cpu"), **kwargs):
super().__init__()
self.model = model
self.ddpm_num_timesteps = model.num_timesteps
Expand Down