jakechai-ComfyUI-JakeUpgrade/Workflow/ComfyUI/Module/JK_module_Video-WanExplanation.json

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|\n|----------------------------------|--------|------------|\n| SageAtt+TeaCache+SLG+EnhanceAVid | 405s   | 360s       |\n| SageAtt+TeaCache+SLG             | 295s   | 345s       |\n| SageAtt+TeaCache                 | 305s   | 355s       |\n| SageAtt                          | 500s   | 560s       |\n| -                                | 720s   | 790s(sdpa) 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Very first steps should NEVER be skipped with this model or it kills the motion. When using the pre-calculated coefficients, the treshold value should be much higher than with the default coefficients.  \n[Patch Model Patch Order](https://www.reddit.com/r/StableDiffusion/comments/1gjl982/lora_torchcompile_is_now_possible_thanks_to/)  \nWith weight_patch_first, switching to a different LoRA is really fast, no need for full recompile.  \n\n[Triton and SageAttention Installation](https://old.reddit.com/r/StableDiffusion/comments/1h7hunp/how_to_run_hunyuanvideo_on_a_single_24gb_vram_card/)  \n[Triton:supported GPU](https://github.com/woct0rdho/triton-windows#1-gpu)  \n[Triton:fp8 is not supported on RTX 30xx and older GPUs](https://github.com/woct0rdho/triton-windows#fp8-is-not-supported-on-rtx-30xx-and-older-gpus)  \n\nEnhance:  \n[Skip Layer Guidance](https://www.reddit.com/r/StableDiffusion/comments/1jac3wm/dramatically_enhance_the_quality_of_wan_21_using/)  \n[CFG Zero Star](https://github.com/WeichenFan/CFG-Zero-star)  \n[Enhance A Video](https://oahzxl.github.io/Enhance_A_Video/)  \nEnhance-a-video can increase the fidelity of the results (also time), too high values lead to noisy results.  \n[Unet Temporal Attention Multiply](https://www.runcomfy.com/comfyui-nodes/ComfyUI/UNetTemporalAttentionMultiply)  \nuseful for tasks that require temporal coherence and consistency, such as video frame interpolation, temporal segmentation, and other time-series related applications.  \n[RIFLEx](https://github.com/thu-ml/RIFLEx)  \nExtent video."],"color":"#432","bgcolor":"#653"},{"id":46,"type":"Note","pos":[2410,620],"size":[470,88],"flags":{},"order":15,"mode":0,"inputs":[],"outputs":[],"title":"fp8_fast and fp16_fast precision","properties":{},"widgets_values":["fp8_fast seems to cause huge quality degradation\n\nfp_16_fast enables \"Full FP16 Accmumulation in FP16 GEMMs\" feature available in the very latest pytorch nightly, this is around 20% speed boost. 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the diffusion model)  \n| Speedup(without Triton)          | Native | Wrapper    |\n|----------------------------------|--------|------------|\n| SageAtt+TeaCache+SLG+EnhanceAVid | 440s   | 395s       |\n| SageAtt+TeaCache+SLG             | 300s   | 380s       |\n| SageAtt+TeaCache                 | 315s   | 395s       |\n| SageAtt                          | 520s   | 590s       |\n| -                                | 745s   | 835s(sdpa) |"],"color":"#432","bgcolor":"#653"},{"id":11,"type":"CLIPVisionLoader","pos":[1840,1130],"size":[400,58],"flags":{},"order":31,"mode":0,"inputs":[{"localized_name":"clip_name","name":"clip_name","type":"COMBO","widget":{"name":"clip_name"},"link":null}],"outputs":[{"localized_name":"CLIP_VISION","name":"CLIP_VISION","type":"CLIP_VISION","links":[]}],"properties":{"cnr_id":"comfy-core","ver":"0.3.26","Node name for 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Native Video Inpaint  \n2. Native VACE Video Repaint\n3. Depth | Tile Lora (error occur when wrapper loading model)\n4. Not using features below:\n- Skyreel [V2 DF](https://github.com/SkyworkAI/SkyReels-V2)\n- [ReCamMaster](https://github.com/KwaiVGI/ReCamMaster)\n- [MiniMax Remover](https://github.com/zibojia/MiniMax-Remover)\n- [Fantasy Talking](https://github.com/Fantasy-AMAP/fantasy-talking)\n- [Multi Talking](https://github.com/MeiGen-AI/MultiTalk)\n- [Fantasy Portrait](https://github.com/Fantasy-AMAP/fantasy-portrait)\n- [Unianimate](https://github.com/ali-vilab/UniAnimate)\n- [Stand-In](https://www.stand-in.tech/)\n- [Uni3C](https://github.com/ewrfcas/Uni3C)\n- [Flow Edit](https://github.com/fallenshock/FlowEdit)\n- [Dilated ControlNet](https://github.com/TheDenk/wan2.1-dilated-controlnet)\n- [Radial Attention](https://github.com/mit-han-lab/radial-attention)\n- [Enhanced A Video](https://oahzxl.github.io/Enhance_A_Video/)\n- [FreeInit](https://tianxingwu.github.io/pages/FreeInit/)\n- [RAAG](https://arxiv.org/abs/2508.03442)\n- [Bidirectional Sampling](https://github.com/ff2416/WanFM)\n- [Loop](https://github.com/YisuiTT/Mobius/) "],"color":"#432","bgcolor":"#653"},{"id":74,"type":"WanVideoModelLoader","pos":[2410,320],"size":[470,318],"flags":{},"order":59,"mode":0,"inputs":[{"localized_name":"compile_args","name":"compile_args","shape":7,"type":"WANCOMPILEARGS","link":30},{"localized_name":"block_swap_args","name":"block_swap_args","shape":7,"type":"BLOCKSWAPARGS","link":31},{"localized_name":"lora","name":"lora","shape":7,"type":"WANVIDLORA","link":null},{"localized_name":"vram_management_args","name":"vram_management_args","shape":7,"type":"VRAM_MANAGEMENTARGS","link":null},{"localized_name":"extra_model","name":"extra_model","shape":7,"type":"VACEPATH","link":null},{"localized_name":"fantasytalking_model","name":"fantasytalking_model","shape":7,"type":"FANTASYTALKINGMODEL","link":null},{"localized_name":"multitalk_model","name":"multitalk_model","shape":7,"type":"MULTITALKMODEL","link":null},{"localized_name":"fantasyportrait_model","name":"fantasyportrait_model","shape":7,"type":"FANTASYPORTRAITMODEL","link":null},{"localized_name":"model","name":"model","type":"COMBO","widget":{"name":"model"},"link":null},{"localized_name":"base_precision","name":"base_precision","type":"COMBO","widget":{"name":"base_precision"},"link":null},{"localized_name":"quantization","name":"quantization","type":"COMBO","widget":{"name":"quantization"},"link":null},{"localized_name":"load_device","name":"load_device","type":"COMBO","widget":{"name":"load_device"},"link":null},{"localized_name":"attention_mode","name":"attention_mode","shape":7,"type":"COMBO","widget":{"name":"attention_mode"},"link":null},{"localized_name":"rms_norm_function","name":"rms_norm_function","shape":7,"type":"COMBO","widget":{"name":"rms_norm_function"},"link":null}],"outputs":[{"localized_name":"model","name":"model","type":"WANVIDEOMODEL","links":null}],"properties":{"cnr_id":"ComfyUI-WanVideoWrapper","ver":"c57ffd8150ba60e4656bca12bd1c876892dff5cd","Node name for S&R":"WanVideoModelLoader"},"widgets_values":["WanVideo\\_Main\\ComfyOrg\\wan2.1_t2v_14B_fp8_e4m3fn.safetensors","bf16","disabled","offload_device","sdpa","default"]},{"id":4,"type":"WanVideoVRAMManagement","pos":[2040,610],"size":[320,58],"flags":{},"order":55,"mode":0,"inputs":[{"localized_name":"offload_percent","name":"offload_percent","type":"FLOAT","widget":{"name":"offload_percent"},"link":null}],"outputs":[{"localized_name":"vram_management_args","name":"vram_management_args","type":"VRAM_MANAGEMENTARGS","links":[]}],"properties":{"cnr_id":"ComfyUI-WanVideoWrapper","ver":"d9b1f4d1a5aea91d101ae97a54714a5861af3f50","Node name for S&R":"WanVideoVRAMManagement"},"widgets_values":[1],"color":"#223","bgcolor":"#335"},{"id":31,"type":"Note","pos":[770,500],"size":[230,88],"flags":{},"order":56,"mode":0,"inputs":[],"outputs":[],"title":"Triton error","properties":{},"widgets_values":["type fp8e4nv (fp8 scaled | fp8_e4m3fn) is not supported in CUDA arch < 89 (rtx 20xx or 30xx).\nThe supported fp8 dtypes are ('fp8e4b15', 'fp8e5')?"],"color":"#432","bgcolor":"#653"},{"id":5,"type":"Note","pos":[1680,100],"size":[230,200],"flags":{},"order":57,"mode":0,"inputs":[],"outputs":[],"title":"Triton","properties":{},"widgets_values":["Wan Video Torch Compile Settings is disconnected by default and will not take effect if you're using fp8 e4m3 diffusion model and your graphic card is 20xx or 30xx.\n\nIf you choose vace fp32/bf16/fp16/fp8 e5m2 model, then you can:\n1. Link Wan Video Torch Compile Settings to the Wan Video Model Loader to speed up about 15%~25%.\n2. Follow the VRAM settings instruction in the Wan Video Wrapper Tips Group."],"color":"#432","bgcolor":"#653"},{"id":56,"type":"MarkdownNote","pos":[1330,1550],"size":[580,1880],"flags":{},"order":58,"mode":0,"inputs":[],"outputs":[],"title":"WAN eco","properties":{},"widgets_values":["| Features | Function | Usage |\n|----------|----------|-------|\n| ComfyOrg [2.2](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged)  [2.1](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main) | | |\n| Kijai [WAN](https://huggingface.co/Kijai/WanVideo_comfy/tree/main)  [WAN fp8 scaled](https://huggingface.co/Kijai/WanVideo_comfy_fp8_scaled) | | |\n| *Common Feature* | | |\n| [Triton (Torch Compile)](https://github.com/woct0rdho/triton-windows) | speed up | ~ |\n| [Radial Attention](https://github.com/mit-han-lab/radial-attention) | speed up | ~ |\n| [Sage Attention](https://github.com/thu-ml/SageAttention) | speed up | ~ |\n| [Flash Attention](https://github.com/Dao-AILab/flash-attention) | speed up | ~ |\n| [SDP Attention](https://uxlfoundation.github.io/oneDNN/dev_guide_graph_sdpa.html) | speed up | ~ |\n| [EasyCache](https://github.com/H-EmbodVis/EasyCache) | speed up | ~ |\n| [MagCache](https://github.com/Zehong-Ma/MagCache) | speed up | ~ |\n| [TeaCache](https://github.com/ali-vilab/TeaCache) | speed up | ~ |\n| [Enhanced A Video](https://oahzxl.github.io/Enhance_A_Video/) | enhancement | ~ |\n| [SLG](https://www.reddit.com/r/StableDiffusion/comments/1jac3wm/dramatically_enhance_the_quality_of_wan_21_using/) | enhancement | ~ |\n| [CFG Zero Star](https://github.com/WeichenFan/CFG-Zero-star) | enhancement | ~ |\n| [FreSca](https://github.com/WikiChao/FreSca) | enhancement | ~ |\n| [FreeInit](https://tianxingwu.github.io/pages/FreeInit/) | enhancement | ~ |\n| [NAG](https://chendaryen.github.io/NAG.github.io/) | enhancement | ~ |\n| [TCFG](https://huggingface.co/papers/2503.18137) | enhancement | ~ |\n| [RAAG](https://arxiv.org/abs/2508.03442) | enhancement | ~ |\n| [Bidirectional Sampling](https://github.com/ff2416/WanFM) | enhancement | ~ |\n| [TSR](https://github.com/temporalscorerescaling/TSR) | enhancement | ~ |\n| [Loop](https://github.com/YisuiTT/Mobius/) | loop video | ~ |\n| [RIFLEx](https://github.com/thu-ml/RIFLEx) | long video | ~ |\n| [Context Window](https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved) | long & loop video | ~ |\n| [Flow Edit](https://github.com/fallenshock/FlowEdit) | in content edit | v2v |\n| *Main Model* | | |\n| WAN Video [2.2](https://github.com/Wan-Video/Wan2.2) [2.1](https://github.com/Wan-Video/Wan2.1) | main model | t2v ff2v flf2v v2v s2v |\n| WAN Video GGUF [2.2](https://huggingface.co/collections/QuantStack/wan22-ggufs-6887ec891bdea453a35b95f3) [2.1](https://huggingface.co/city96) | main model | t2v ff2v flf2v v2v |\n| VACE [2.2 Test](https://huggingface.co/lym00/Wan2.2_T2V_A14B_VACE-test) [2.2 Fake](https://huggingface.co/CCP6/FakeVace2.2) [2.1](https://huggingface.co/Wan-AI/Wan2.1-VACE-14B) | main & module model | t2v ff2v flf2v ref2v v2v ref+v2v |\n| VACE GGUF [2.1](https://huggingface.co/QuantStack/Wan2.1_14B_VACE-GGUF) [2.1](https://github.com/ali-vilab/VACE) | main model | t2v ff2v flf2v ref2v v2v ref+v2v |\n| VACE LightX2V [2.1](https://huggingface.co/lym00/Wan2.1_T2V_14B_LightX2V_StepCfgDistill_VACE) | main model | t2v ff2v flf2v ref2v v2v ref+v2v |\n| VACE LightX2V GGUF [2.1](https://huggingface.co/QuantStack/Wan2.1_T2V_14B_LightX2V_StepCfgDistill_VACE-GGUF) | main model | t2v ff2v flf2v ref2v v2v ref+v2v |\n| VACE FusionX [2.1](https://huggingface.co/QuantStack/Wan2.1_T2V_14B_FusionX_VACE) | main model | t2v ff2v flf2v ref2v v2v ref+v2v |\n| VACE FusionX GGUF [2.1](https://huggingface.co/collections/QuantStack/wan21-fusionx-ggufs-68498e41b3597737512c0636) | main model | t2v ff2v flf2v ref2v v2v ref+v2v |\n| VACE Phantom [2.1](https://huggingface.co/Inner-Reflections/Wan2.1_VACE_Phantom) | main model | t2v ff2v flf2v ref2v v2v ref+v2v |\n| VACE SF (GGUF) [2.1](https://huggingface.co/lym00) | main model | t2v ff2v flf2v ref2v v2v ref+v2v |\n| *Low-Step model* | | |\n| lightX2V [2.2](https://huggingface.co/lightx2v/Wan2.2-Lightning) [2.1](https://huggingface.co/lightx2v) | main model & lora | t2v ff2v v2v lcm simple steps 4 cfg 1.0 |\n| FusionX [2.1](https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX) | main model & lora | t2v ff2v v2v uni_pc simple steps 8 cfg 1.0|\n| FusionX GGUF [2.1](https://huggingface.co/collections/QuantStack/wan21-fusionx-ggufs-68498e41b3597737512c0636) | main model | t2v ff2v v2v uni_pc simple steps 8 cfg 1.0|\n| CausVid [2.1](https://github.com/tianweiy/CausVid) | main model & lora | t2v ff2v v2v uni_pc(flowmatch_causvid) simple steps 8 cfg 1.0 |\n| AccVid [2.1](https://github.com/aejion/AccVideo) | main model & lora | t2v ff2v v2v uni_pc simple steps 8 cfg 1.0 |\n| Fast Wan [2.2](https://huggingface.co/FastVideo) [2.1](https://huggingface.co/FastVideo) | main model & lora | t2v v2v uni_pc simple steps 8 cfg 1.0 |\n| Turbo [2.2 TI2V 5B](https://github.com/quanhaol/Wan2.2-TI2V-5B-Turbo) | main model & lora | t2v v2v uni_pc simple steps 4 cfg 1.0 |\n| Pusa* [2.2](https://github.com/Yaofang-Liu/Pusa-VidGen) [2.1](https://github.com/Yaofang-Liu/Pusa-VidGen) | lora | t2v ff2v flf2v v2v uni_pc(flowmatch_pusa) simple steps 5 cfg 5.0 |\n| *Functional Model* | | |\n| FUN Control [2.2](https://huggingface.co/collections/alibaba-pai/wan22-fun-68958eabec343b948f1225c5) [2.1](https://huggingface.co/collections/alibaba-pai/wan21-fun-v11-680f514c89fe7b4df9d44f17) | main model & lora | t2v ff2v |\n| FUN InP [2.2](https://huggingface.co/collections/alibaba-pai/wan22-fun-68958eabec343b948f1225c5) [2.1](https://huggingface.co/collections/alibaba-pai/wan21-fun-v11-680f514c89fe7b4df9d44f17) | main model & lora | ff2v flf2v |\n| FUN InP Reward LoRA [2.2](https://huggingface.co/alibaba-pai/Wan2.2-Fun-Reward-LoRAs) [2.1](https://huggingface.co/alibaba-pai/Wan2.1-Fun-Reward-LoRAs) | lora | t2v ff2v flf2v v2v |\n| FUN Camera [2.2](https://huggingface.co/collections/alibaba-pai/wan22-fun-68958eabec343b948f1225c5) [2.1](https://huggingface.co/collections/alibaba-pai/wan21-fun-v11-680f514c89fe7b4df9d44f17) | main model | ff2v |\n| FUN VACE [2.2](https://huggingface.co/alibaba-pai/Wan2.2-VACE-Fun-A14B) | main & module model | t2v ff2v ref2v |\n| HuMo [2.1](https://phantom-video.github.io/HuMo) | main model | t2v ff2v ref2v v2v s2v |\n| Phantom [2.1](https://github.com/Phantom-video/Phantom) | main model & lora | ref2v ref+v2v |\n| Stand-In [2.1](https://www.stand-in.tech/) | lora | ref2v ref+v2v |\n| MAGREF [2.1](https://github.com/MAGREF-Video/MAGREF) | main model | ref2v |\n| Skyreel A2 [2.1](https://github.com/SkyworkAI/SkyReels-A2) | main model | ref2v |\n| Skyreel V2 [2.1](https://github.com/SkyworkAI/SkyReels-V2) | main & lora | t2v ff2v v2v |\n| Skyreel V2 DF [2.1](https://github.com/SkyworkAI/SkyReels-V2) | main DF model | t2v ff2v v2v |\n| MoviiGen [2.1](https://huggingface.co/ZuluVision/MoviiGen1.1) | main model & lora | t2v v2v |\n| CineScale [2.1](https://github.com/Eyeline-Labs/CineScale) | lora | t2v ff2v | \n| lynx [2.1](https://github.com/bytedance/lynx) | lora | t2v | \n| Echo Shot [2.1](https://github.com/JoHnneyWang/EchoShot) | main model & lora | t2v |\n| ATI [2.1](https://github.com/bytedance/ATI) | main model | ff2v |\n| AniSora [2.2](https://huggingface.co/IndexTeam/Index-anisora/tree/main/V3.2) [2.1](https://github.com/bilibili/Index-anisora) | main model | ff2v |\n| ReCamMaster [2.1](https://github.com/KwaiVGI/ReCamMaster) | main model | v2v |\n| Lumen [2.1](https://lumen-relight.github.io/) | main model & lora | v2v |\n| MiniMax Remover [2.1](https://github.com/zibojia/MiniMax-Remover) | main model | v2v |\n| Fantasy Talking [2.1](https://github.com/Fantasy-AMAP/fantasy-talking) | module model | ff2v v2v |\n| Multi Talk [2.1](https://github.com/MeiGen-AI/MultiTalk) | module model | ff2v v2v |\n| Infinite Talk [2.1](https://github.com/MeiGen-AI/InfiniteTalk) | module model | ff2v v2v |\n| Fantasy Portrait [2.1](https://github.com/Fantasy-AMAP/fantasy-portrait) | module model | ff2v v2v |\n| MTV Crafter [2.1](https://github.com/DINGYANB/MTVCrafter) | main & module model | t2v ff2v |\n| *control* | | |\n| Unianimate [2.1](https://github.com/ali-vilab/UniAnimate) | control lora | ff2v |\n| Depth lora [2.1](https://huggingface.co/spacepxl/Wan2.1-control-loras/tree/main/1.3b/depth) | control lora | t2v |\n| Tile lora [2.1](https://huggingface.co/spacepxl/Wan2.1-control-loras/tree/main/1.3b/tile) | control lora | v2v |\n| Dilated ControlNet [2.2](https://huggingface.co/collections/TheDenk/wan22-controlnets-688b754ca3ee3bc7b34253bf) [2.1](https://github.com/TheDenk/wan2.1-dilated-controlnet) | controlnet | t2v v2v |\n| Uni3C* [2.1](https://github.com/ewrfcas/Uni3C) | 3D controlnet | ff2v |\n| RealisDance* [2.1](https://github.com/damo-cv/RealisDance) | 3D controlnet | ff2v |"],"color":"#432","bgcolor":"#653"}],"links":[[1,38,0,1,0,"CLIP"],[5,38,0,14,0,"CLIP"],[6,14,0,15,0,"CONDITIONING"],[7,1,0,15,1,"CONDITIONING"],[9,17,0,37,0,"WANTEXTENCODER"],[16,17,0,58,0,"WANTEXTENCODER"],[18,38,0,59,0,"CLIP"],[20,59,0,62,0,"CONDITIONING"],[21,64,0,63,0,"WANVIDEOPROMPTEXTENDER_ARGS"],[22,63,0,65,0,"WANVIDEOTEXTEMBEDS"],[23,63,1,65,1,"WANVIDEOTEXTEMBEDS"],[26,37,0,57,0,"WANVIDEOTEXTEMBEDS"],[27,58,0,57,1,"WANVIDEOTEXTEMBEDS"],[28,15,0,73,0,"WANVIDEOTEXTEMBEDS"],[29,62,0,73,1,"WANVIDEOTEXTEMBEDS"],[30,3,0,74,0,"WANCOMPILEARGS"],[31,30,0,74,1,"BLOCKSWAPARGS"]],"groups":[{"id":1,"title":"Wan Video Wrapper Tips","bounding":[1330,-20,1900,743.5999755859375],"color":"#3f789e","font_size":24,"flags":{}},{"id":2,"title":"You might need to 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