KJ Model Collection: https://huggingface.co/Kijai/WanVideo_comfy

Model Download: https://huggingface.co/lightx2v/Wan2.2-I2V-A14B-Moe-Distill-Lightx2v/tree/main/loras

Combined and quantized models for WanVideo, sourced from here:

https://huggingface.co/Wan-AI/

Can be used with the following nodes: https://github.com/kijai/ComfyUI-WanVideoWrapper and ComfyUI native WanVideo nodes.

I've also started making fp8_scaled versions here: https://huggingface.co/Kijai/WanVideo_comfy_fp8_scaled

Other model sources:

TinyVAE from https://github.com/madebyollin/taehv

SkyReels: https://huggingface.co/collections/Skywork/skyreels-v2-6801b1b93df627d441d0d0d9

WanVideoFun: https://huggingface.co/collections/alibaba-pai/wan21-fun-v11-680f514c89fe7b4df9d44f17

Lightx2v:

CausVid 14B: https://huggingface.co/lightx2v/Wan2.1-T2V-14B-CausVid

CFG and Step Distilled 14B: https://huggingface.co/lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill

CausVid 1.3B: https://huggingface.co/tianweiy/CausVid

AccVideo: https://huggingface.co/aejion/AccVideo-WanX-T2V-14B

Phantom: https://huggingface.co/bytedance-research/Phantom

ATI: https://huggingface.co/bytedance-research/ATI

MiniMaxRemover: https://huggingface.co/zibojia/minimax-remover

MAGREF: https://huggingface.co/MAGREF-Video/MAGREF

Fantasy Talking: https://github.com/Fantasy-AMAP/fantasy-talking

MultiTalk: https://github.com/MeiGen-AI/MultiTalk

Anisora: https://huggingface.co/IndexTeam/Index-anisora/tree/main/14B

Pusa: https://huggingface.co/RaphaelLiu/PusaV1/tree/main

FastVideo: https://huggingface.co/FastVideo

EchoShot: https://github.com/D2I-ai/EchoShot

Wan22 5B Turbo: https://huggingface.co/quanhaol/Wan2.2-TI2V-5B-Turbo

Ovi: https://github.com/character-ai/Ovi

FlashVSR: https://huggingface.co/JunhaoZhuang/FlashVSR

rCM: https://huggingface.co/worstcoder/rcm-Wan/tree/main

CausVid LoRA is an experimental extraction from CausVid fine-tuning, aiming to benefit from the distillation in CausVid rather than performing actual causal inference. v1 = Direct extraction, which adversely affects motion and introduces flashing artifacts at maximum strength.

v1.5 = Same as above, but without the first block, which completely fixes the flickering.

v2 = Further pruned version featuring only attention layers without the first block. It fixes flickering, preserves motion better, requires more steps, and can also benefit from CFG.

Wan2.2 Model Collection: https://huggingface.co/collections/Wan-AI/wan22