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fix bug for Kandinsky5 pipeline load with device_map=balanced #14050

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fix bug for Kandinsky5 pipeline load with device_map=balanced #14050

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1 change: 1 addition & 0 deletions src/diffusers/pipelines/kandinsky5/pipeline_kandinsky_i2i.py
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Expand Up @@ -544,6 +544,7 @@ def prepare_latents(

# Reshape to match latent dimensions [batch, 1, height, width, channels]
image_latents = image_latents.permute(0, 2, 3, 4, 1) # [batch, 1, H, W, C]
image_latents = image_latents.to(device=latents.device, dtype=latents.dtype)
latents = torch.cat([latents, image_latents, torch.ones_like(latents[..., :1])], -1)

return latents
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1 change: 1 addition & 0 deletions src/diffusers/pipelines/kandinsky5/pipeline_kandinsky_i2v.py
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Expand Up @@ -704,6 +704,7 @@ def prepare_latents(

# Reshape to match latent dimensions [batch, frames, height, width, channels]
image_latents = image_latents.permute(0, 2, 3, 4, 1) # [batch, 1, H, W, C]
image_latents = image_latents.to(device=latents.device, dtype=latents.dtype)

# Replace first frame with encoded image
latents[:, 0:1] = image_latents
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