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Proper latent scaling

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kijai 2025-02-18 22:10:12 +02:00
parent 447ad0442a
commit 47041cc91b
1 changed files with 2 additions and 2 deletions
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comfy/model_base.py
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@ -877,8 +877,8 @@ class HunyuanVideo(BaseModel):
if image is not None: if image is not None:
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)
out['c_concat'] = comfy.conds.CONDNoiseShape(image_latents) out['c_concat'] = comfy.conds.CONDNoiseShape(self.process_latent_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: