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fix wan i2v train bug

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Kared
2026-01-27 03:55:36 +00:00
parent ffb7a138f7
commit 8d0df403ca
1 changed files with 7 additions and 0 deletions
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diffsynth/diffusion/loss.py
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@@ -13,9 +13,16 @@ def FlowMatchSFTLoss(pipe: BasePipeline, **inputs):
inputs["latents"] = pipe.scheduler.add_noise(inputs["input_latents"], noise, timestep)
training_target = pipe.scheduler.training_target(inputs["input_latents"], noise, timestep)
if "first_frame_latents" in inputs:
inputs["latents"][:, :, 0:1] = inputs["first_frame_latents"]
models = {name: getattr(pipe, name) for name in pipe.in_iteration_models}
noise_pred = pipe.model_fn(**models, **inputs, timestep=timestep)
if "first_frame_latents" in inputs:
noise_pred = noise_pred[:, :, 1:]
training_target = training_target[:, :, 1:]
loss = torch.nn.functional.mse_loss(noise_pred.float(), training_target.float())
loss = loss * pipe.scheduler.training_weight(timestep)
return loss