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25 changes: 16 additions & 9 deletions src/diffusers/pipelines/cogvideo/pipeline_cogvideox_video2video.py
Original file line number Diff line number Diff line change
Expand Up @@ -206,6 +206,11 @@ def __init__(
self.register_modules(
tokenizer=tokenizer, text_encoder=text_encoder, vae=vae, transformer=transformer, scheduler=scheduler
)
self.latents_in_channels = (
self.transformer.config.in_channels
if hasattr(self, "transformer") and self.transformer is not None
else 16
)
self.vae_scale_factor_spatial = (
2 ** (len(self.vae.config.block_out_channels) - 1) if hasattr(self, "vae") and self.vae is not None else 8
)
Expand Down Expand Up @@ -657,14 +662,16 @@ def __call__(

# 1. Check inputs. Raise error if not correct
self.check_inputs(
prompt,
height,
width,
strength,
negative_prompt,
callback_on_step_end_tensor_inputs,
prompt_embeds,
negative_prompt_embeds,
prompt=prompt,
height=height,
width=width,
strength=strength,
negative_prompt=negative_prompt,
callback_on_step_end_tensor_inputs=callback_on_step_end_tensor_inputs,
video=video,
latents=latents,
prompt_embeds=prompt_embeds,
negative_prompt_embeds=negative_prompt_embeds,
)
self._guidance_scale = guidance_scale
self._interrupt = False
Expand Down Expand Up @@ -709,7 +716,7 @@ def __call__(
video = self.video_processor.preprocess_video(video, height=height, width=width)
video = video.to(device=device, dtype=prompt_embeds.dtype)

latent_channels = self.transformer.config.in_channels
latent_channels = self.latents_in_channels
latents = self.prepare_latents(
video,
batch_size * num_videos_per_prompt,
Expand Down
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