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https://git.datalinker.icu/kijai/ComfyUI-CogVideoXWrapper.git
synced 2025-12-09 04:44:22 +08:00
fix progress bars for vid2vid
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@ -536,11 +536,10 @@ class CogVideoXPipeline(VideoSysPipeline, CogVideoXLoraLoaderMixin):
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logger.info(f"latents: {latents.shape}")
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logger.info(f"mask: {mask.shape}")
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# 7. Denoising loop
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num_warmup_steps = max(len(timesteps) - num_inference_steps * self.scheduler.order, 0)
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comfy_pbar = ProgressBar(num_inference_steps)
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# 8. context schedule and temporal tiling
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# 7. context schedule and temporal tiling
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if context_schedule is not None and context_schedule == "temporal_tiling":
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t_tile_length = context_frames
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t_tile_overlap = context_overlap
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@ -560,7 +559,7 @@ class CogVideoXPipeline(VideoSysPipeline, CogVideoXLoraLoaderMixin):
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use_temporal_tiling = False
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use_context_schedule = False
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logger.info("Temporal tiling and context schedule disabled")
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# 8.5. Create rotary embeds if required
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# 7.5. Create rotary embeds if required
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image_rotary_emb = (
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self._prepare_rotary_positional_embeddings(height, width, latents.size(1), device)
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if self.transformer.config.use_rotary_positional_embeddings
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@ -569,7 +568,7 @@ class CogVideoXPipeline(VideoSysPipeline, CogVideoXLoraLoaderMixin):
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if tora is not None and do_classifier_free_guidance:
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video_flow_features = tora["video_flow_features"].repeat(1, 2, 1, 1, 1).contiguous()
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# 9. Controlnet
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#8. Controlnet
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if controlnet is not None:
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self.controlnet = controlnet["control_model"].to(device)
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if self.transformer.dtype == torch.float8_e4m3fn:
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@ -604,8 +603,9 @@ class CogVideoXPipeline(VideoSysPipeline, CogVideoXLoraLoaderMixin):
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for param in module.parameters():
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param.data = param.data.to(device)
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# 10. Denoising loop
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with self.progress_bar(total=num_inference_steps) as progress_bar:
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# 9. Denoising loop
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comfy_pbar = ProgressBar(len(timesteps))
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with self.progress_bar(total=len(timesteps)) as progress_bar:
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old_pred_original_sample = None # for DPM-solver++
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for i, t in enumerate(timesteps):
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if self.interrupt:
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