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Remove duplicate checks for len(generator) != batch_size when generator is a list #10134

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Merged
merged 1 commit into from
Dec 6, 2024
+0 −18
Merged

Remove duplicate checks for len(generator) != batch_size when generator is a list #10134

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6 changes: 0 additions & 6 deletions src/diffusers/pipelines/animatediff/pipeline_animatediff_video2video.py
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Original file line number Diff line number Diff line change
Expand Up @@ -662,12 +662,6 @@ def prepare_latents(
self.vae.to(dtype=torch.float32)

if isinstance(generator, list):
if len(generator) != batch_size:
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oh where is it checked?

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Just a few lines above

image

raise ValueError(
f"You have passed a list of generators of length {len(generator)}, but requested an effective batch"
f" size of {batch_size}. Make sure the batch size matches the length of the generators."
)

init_latents = [
self.encode_video(video[i], generator[i], decode_chunk_size).unsqueeze(0)
for i in range(batch_size)
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6 changes: 0 additions & 6 deletions src/diffusers/pipelines/animatediff/pipeline_animatediff_video2video_controlnet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -794,12 +794,6 @@ def prepare_latents(
self.vae.to(dtype=torch.float32)

if isinstance(generator, list):
if len(generator) != batch_size:
raise ValueError(
f"You have passed a list of generators of length {len(generator)}, but requested an effective batch"
f" size of {batch_size}. Make sure the batch size matches the length of the generators."
)

init_latents = [
self.encode_video(video[i], generator[i], decode_chunk_size).unsqueeze(0)
for i in range(batch_size)
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6 changes: 0 additions & 6 deletions src/diffusers/pipelines/cogvideo/pipeline_cogvideox_video2video.py
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Original file line number Diff line number Diff line change
Expand Up @@ -373,12 +373,6 @@ def prepare_latents(

if latents is None:
if isinstance(generator, list):
if len(generator) != batch_size:
raise ValueError(
f"You have passed a list of generators of length {len(generator)}, but requested an effective batch"
f" size of {batch_size}. Make sure the batch size matches the length of the generators."
)

init_latents = [
retrieve_latents(self.vae.encode(video[i].unsqueeze(0)), generator[i]) for i in range(batch_size)
]
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