xinyun/ComfyUI-CogVideoXWrapper
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check that Tora trajectory length matches

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kijai 2024-10-30 23:11:49 +02:00
parent 133b42eb4f
commit d314ddbe05
3 changed files with 9 additions and 0 deletions
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4
cogvideox_fun/pipeline_cogvideox_inpaint.py
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@ -894,6 +894,10 @@ class CogVideoX_Fun_Pipeline_Inpaint(VideoSysPipeline):
video_flow_features = tora["video_flow_features"].repeat(1, 2, 1, 1, 1).contiguous() video_flow_features = tora["video_flow_features"].repeat(1, 2, 1, 1, 1).contiguous()
if tora is not None: if tora is not None:
trajectory_length = tora["video_flow_features"].shape[1]
logger.info(f"Tora trajectory length: {trajectory_length}")
if trajectory_length != latents.shape[1]:
raise ValueError(f"Tora trajectory length {trajectory_length} does not match inpaint_latents count {latents.shape[2]}")
for module in self.transformer.fuser_list: for module in self.transformer.fuser_list:
for param in module.parameters(): for param in module.parameters():
param.data = param.data.to(device) param.data = param.data.to(device)

1
nodes.py
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@ -916,6 +916,7 @@ class CogVideoXFunSampler:
assert "fun" in base_path.lower(), "'Unfun' models not supported in 'CogVideoXFunSampler', use the 'CogVideoSampler'" assert "fun" in base_path.lower(), "'Unfun' models not supported in 'CogVideoXFunSampler', use the 'CogVideoSampler'"
assert "pose" not in base_path.lower(), "'Pose' models not supported in 'CogVideoXFunSampler', use the 'CogVideoXFunControlSampler'" assert "pose" not in base_path.lower(), "'Pose' models not supported in 'CogVideoXFunSampler', use the 'CogVideoXFunControlSampler'"
if not pipeline["cpu_offloading"]: if not pipeline["cpu_offloading"]:
pipe.enable_model_cpu_offload(device=device) pipe.enable_model_cpu_offload(device=device)

4
pipeline_cogvideox.py
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@ -613,6 +613,10 @@ class CogVideoXPipeline(VideoSysPipeline):
control_weights= None control_weights= None
if tora is not None: if tora is not None:
trajectory_length = tora["video_flow_features"].shape[1]
logger.info(f"Tora trajectory length: {trajectory_length}")
if trajectory_length != latents.shape[1]:
raise ValueError(f"Tora trajectory length {trajectory_length} does not match inpaint_latents count {latents.shape[2]}")
for module in self.transformer.fuser_list: for module in self.transformer.fuser_list:
for param in module.parameters(): for param in module.parameters():
param.data = param.data.to(device) param.data = param.data.to(device)