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sayakpaulyiyixuxu
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Update src/diffusers/modular_pipelines/flux/denoise.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>
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src/diffusers/modular_pipelines/flux/denoise.py

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@@ -182,7 +182,6 @@ def __call__(
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latent_model_input = torch.cat([latent_model_input, image_latents], dim=1)
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timestep = t.expand(latents.shape[0]).to(latents.dtype)
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print(f"{latents.shape=}, {timestep.shape=}")
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noise_pred = components.transformer(
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hidden_states=latent_model_input,
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timestep=timestep / 1000,

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