WanVideoWrapper

Helper node to generate a list of floats that can be used to schedule cfg scale for the steps, outside the set range cfg is set to 1.0

Helper node to generate a list of floats that can be used to schedule things like cfg and lora scale per step

Helper node to create empty Wan model to use with BasicScheduler -node to get sigmas

Extracts the first N frames from a video sequence for continuations.

Comma separated list of blocks to apply block swap to, can also use ranges like '0-5' or '0,2,3-5' etc., can be connected to the dense_blocks input of 'WanVideoSetRadialAttention' node

Loads Wan clip_vision model from 'ComfyUI/models/clip_vision'

Loads ControlNet model from 'https://huggingface.co/collections/TheDenk/wan21-controlnets-68302b430411dafc0d74d2fc'

EasyCache for WanVideoWrapper, source https://github.com/H-EmbodVis/EasyCache

https://github.com/NUS-HPC-AI-Lab/Enhance-A-Video

Experimental stuff

Extra model to load and add to the main model, ie. VACE or MTV Crafter 'ComfyUI/models/diffusion_models'

Loads Wan VAE model from 'ComfyUI/models/vae'

https://github.com/TianxingWu/FreeInit; FreeInit, a concise yet effective method to improve temporal consistency of videos generated by diffusion models

Looping through latent shift as shown in https://github.com/YisuiTT/Mobius/

MagCache for WanVideoWrapper, source https://github.com/Zehong-Ma/MagCache

https://github.com/KwaiVGI/ReCamMaster

https://github.com/KwaiVGI/ReCamMaster

Simply passes a float value as an integer, used to set start/end steps with sigma threshold

Skips uncond on the selected blocks

Loads Wan text_encoder model from 'ComfyUI/models/LLM'

Patch WanVideo model to use TeaCache. Speeds up inference by caching the output and applying it instead of doing the step. Best results are achieved by choosing the appropriate coefficients for the model. Early steps should never be skipped, with too aggressive values this can happen and the motion suffers. Starting later can help with that too. When NOT using coefficients, the threshold value should be about 10 times smaller than the value used with coefficients. Official recommended values https://github.com/ali-vilab/TeaCache/tree/main/TeaCache4Wan2.1

Encodes text prompts into text embeddings. This node loads and completely unloads the T5 after done, leaving no VRAM or RAM imprint. If prompts have been cached before T5 is not loaded at all. negative output is meant to be used with NAG, it contains only negative prompt embeddings. Additionally you can provide a Qwen LLM model to extend the positive prompt with either one of the original Wan templates or a custom system prompt.

Loads Wan VAE model from 'ComfyUI/models/vae_approx'

torch.compile settings, when connected to the model loader, torch.compile of the selected layers is attempted. Requires Triton and torch > 2.7.0 is recommended

VACE model to use when not using model that has it included, loaded from 'ComfyUI/models/diffusion_models'

Loads MMAudio VAE for Ovi audio generation