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Fix T2V

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This commit is contained in:
kijai 2025-02-18 21:21:16 +02:00
parent 7d9f51753b
commit 447ad0442a
1 changed files with 2 additions and 6 deletions
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8
comfy/model_base.py
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@ -874,15 +874,11 @@ class HunyuanVideo(BaseModel):
image = kwargs.get("concat_latent_image", None) image = kwargs.get("concat_latent_image", None)
noise = kwargs.get("noise", None) noise = kwargs.get("noise", None)
if image is None: if image is not None:
image_latents = torch.zeros_like(noise)
else:
padding_shape = (noise.shape[0], 16, noise.shape[2] - 1, noise.shape[3], noise.shape[4]) padding_shape = (noise.shape[0], 16, noise.shape[2] - 1, noise.shape[3], noise.shape[4])
latent_padding = torch.zeros(padding_shape, device=noise.device, dtype=noise.dtype) latent_padding = torch.zeros(padding_shape, device=noise.device, dtype=noise.dtype)
image_latents = torch.cat([image.to(noise), latent_padding], dim=2) * 0.476986 image_latents = torch.cat([image.to(noise), latent_padding], dim=2) * 0.476986
out['c_concat'] = comfy.conds.CONDNoiseShape(image_latents)
process_image_in = lambda image: image
out['c_concat'] = comfy.conds.CONDNoiseShape(process_image_in(image_latents))
guidance = kwargs.get("guidance", 6.0) guidance = kwargs.get("guidance", 6.0)
if guidance is not None: if guidance is not None: