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The img2vid model is conditioned on clip vision output only which means there's no CLIP model which is why I added a ImageOnlyCheckpointLoader to load it. Note that the unClipCheckpointLoader can also load it because it also has a CLIP_VISION output. SDV_img2vid_Conditioning is the node used to pass the right conditioning to the img2vid model. VideoLinearCFGGuidance applies a linearly decreasing CFG scale to each video frame from the cfg set in the sampler node to min_cfg. SDV_img2vid_Conditioning can be found in conditioning->video_models ImageOnlyCheckpointLoader can be found in loaders->video_models VideoLinearCFGGuidance can be found in sampling->video_models |
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| .. | ||
| chainner_models | ||
| nodes_canny.py | ||
| nodes_clip_sdxl.py | ||
| nodes_compositing.py | ||
| nodes_custom_sampler.py | ||
| nodes_freelunch.py | ||
| nodes_hypernetwork.py | ||
| nodes_hypertile.py | ||
| nodes_images.py | ||
| nodes_latent.py | ||
| nodes_mask.py | ||
| nodes_model_advanced.py | ||
| nodes_model_downscale.py | ||
| nodes_model_merging.py | ||
| nodes_post_processing.py | ||
| nodes_rebatch.py | ||
| nodes_tomesd.py | ||
| nodes_upscale_model.py | ||
| nodes_video_model.py | ||