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@@ -892,7 +892,7 @@ class WanVideoSampler:
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"samples": ("LATENT", {"tooltip": "init Latents to use for video2video process"} ),
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"denoise_strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
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"feta_args": ("FETAARGS", ),
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"context_options": ("WANVIDCONTEXT", ),
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#"context_options": ("WANVIDCONTEXT", ),
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}
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}
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@@ -1118,7 +1118,7 @@ class WanVideoSampler:
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print(c)
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partial_latent_model_input = [latent_model_input[0][:, c, :, :]]
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print("partial_latent_model_input", partial_latent_model_input[0].shape)
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#model inference start
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# Model inference - returns [frames, channels, height, width]
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noise_pred_cond = transformer(
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partial_latent_model_input, t=timestep, **arg_c)[0].to(offload_device)
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if cfg[i] != 1.0:
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@@ -1129,7 +1129,7 @@ class WanVideoSampler:
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noise_pred_cond - noise_pred_uncond)
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else:
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noise_pred_context = noise_pred_cond
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print(noise_pred.shape)
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print("noise_pred_context", noise_pred.shape)
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noise_pred[:, c, :, :] += noise_pred_context
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noise_pred = noise_pred.float()
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counter[:, c, :, :] += 1
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