nodes/kijai-ComfyUI-WanVideoWrapper
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Pass original image to 2nd sampler for 2.2 diff diff

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kijai
2025-08-22 01:48:35 +03:00
parent c2923068e6
commit bfee623d77
1 changed files with 6 additions and 3 deletions
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nodes.py
+6 -3
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@@ -2051,7 +2051,9 @@ class WanVideoSampler:
noise_mask = samples.get("noise_mask", None)
if noise_mask is not None:
log.info(f"Latent noise_mask shape: {noise_mask.shape}")
original_image = input_samples.to(device)
original_image = samples.get("original_image", None)
if original_image is None:
original_image = input_samples
if len(noise_mask.shape) == 4:
noise_mask = noise_mask.squeeze(1)
if noise_mask.shape[0] < noise.shape[1]:
@@ -3329,7 +3331,7 @@ class WanVideoSampler:
# differential diffusion inpaint
if masks is not None:
if i < len(timesteps) - 1:
image_latent = add_noise(original_image, noise.to(device), timesteps[i+1])
image_latent = add_noise(original_image.to(device), noise.to(device), timesteps[i+1])
mask = masks[i].to(latent)
latent = image_latent * mask + latent * (1-mask)
@@ -3510,7 +3512,7 @@ class WanVideoSampler:
if idx < len(timesteps) - 1:
noise_timestep = timesteps[idx+1]
image_latent = sample_scheduler.scale_noise(
original_image, torch.tensor([noise_timestep]), noise.to(device)
original_image.to(device), torch.tensor([noise_timestep]), noise.to(device)
)
mask = masks[idx].to(latent)
latent = image_latent * mask + latent * (1-mask)
@@ -3565,6 +3567,7 @@ class WanVideoSampler:
"has_ref": has_ref,
"drop_last": drop_last,
"generator_state": seed_g.get_state(),
"original_image": original_image.cpu() if original_image is not None else None
},{
"samples": callback_latent.unsqueeze(0).cpu() if callback is not None else None,
})