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@@ -521,7 +521,7 @@ class CogVideoXPipeline(DiffusionPipeline, CogVideoXLoraLoaderMixin):
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num_frames (`int`, defaults to `48`):
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Number of frames to generate. Must be divisible by self.vae_scale_factor_temporal. Generated video will
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contain 1 extra frame because CogVideoX is conditioned with (num_seconds * fps + 1) frames where
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num_seconds is 6 and fps is 4. However, since videos can be saved at any fps, the only condition that
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num_seconds is 6 and fps is 8. However, since videos can be saved at any fps, the only condition that
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needs to be satisfied is that of divisibility mentioned above.
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num_inference_steps (`int`, *optional*, defaults to 50):
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The number of denoising steps. More denoising steps usually lead to a higher quality image at the
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@@ -604,7 +604,7 @@ class CogVideoXImageToVideoPipeline(DiffusionPipeline, CogVideoXLoraLoaderMixin)
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num_frames (`int`, defaults to `48`):
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Number of frames to generate. Must be divisible by self.vae_scale_factor_temporal. Generated video will
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contain 1 extra frame because CogVideoX is conditioned with (num_seconds * fps + 1) frames where
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num_seconds is 6 and fps is 4. However, since videos can be saved at any fps, the only condition that
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num_seconds is 6 and fps is 8. However, since videos can be saved at any fps, the only condition that
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needs to be satisfied is that of divisibility mentioned above.
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num_inference_steps (`int`, *optional*, defaults to 50):
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The number of denoising steps. More denoising steps usually lead to a higher quality image at the
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