Wan-2.2 by Comfy Org: Open-Weight Model

Model Card

By Comfy Org, published under apache-2.0, revision ee6f4a40737a.

Repackaged model files for ComfyUI. - https://huggingface.co/nvidia/ChronoEdit-14B-Diffusers - https://huggingface.co/Wan-AI/Wan2.2-Animate-14B - https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-Control-Camera - https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-Control - https://huggingface.co/alibaba-pai/Wan2.2-Fun-5B-Control - https://huggingface.co/alibaba-pai/Wan2.2-Fun-5B-InP - https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-InP - https://huggingface.co/alibaba-pai/Wan2.2-VACE-Fun-A14B - https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B - https://huggingface.co/Wan-AI/Wan2.2-S2V-14B - https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B - https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B…

Read Comfy Org's full model card

Repackaged model files for ComfyUI.

Original model repository:

https://huggingface.co/nvidia/ChronoEdit-14B-Diffusers
https://huggingface.co/Wan-AI/Wan2.2-Animate-14B
https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-Control-Camera
https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-Control
https://huggingface.co/alibaba-pai/Wan2.2-Fun-5B-Control
https://huggingface.co/alibaba-pai/Wan2.2-Fun-5B-InP
https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-InP
https://huggingface.co/alibaba-pai/Wan2.2-VACE-Fun-A14B
https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B
https://huggingface.co/Wan-AI/Wan2.2-S2V-14B
https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B
https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B
https://huggingface.co/lightx2v/Wan2.2-Distill-Loras

Place the files in the following folders:

ComfyUI/
├── models/
│ ├── audio_encoders/
│ │ └── wav2vec2_large_english_fp16.safetensors
│ ├── diffusion_models/
│ │ ├── chrono_edit_14B_fp16.safetensors
│ │ ├── wan2.2_animate_14B_bf16.safetensors
│ │ ├── wan2.2_animate_14B_int8_convrot.safetensors
│ │ ├── wan2.2_fun_camera_high_noise_14B_bf16.safetensors
│ │ ├── wan2.2_fun_camera_high_noise_14B_fp8_scaled.safetensors
│ │ ├── wan2.2_fun_camera_low_noise_14B_bf16.safetensors
│ │ ├── wan2.2_fun_camera_low_noise_14B_fp8_scaled.safetensors
│ │ ├── wan2.2_fun_control_5B_bf16.safetensors
│ │ ├── wan2.2_fun_control_high_noise_14B_bf16.safetensors
│ │ ├── wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors
│ │ ├── wan2.2_fun_control_low_noise_14B_bf16.safetensors
│ │ ├── wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors
│ │ ├── wan2.2_fun_inpaint_5B_bf16.safetensors
│ │ ├── wan2.2_fun_inpaint_high_noise_14B_bf16.safetensors
│ │ ├── wan2.2_fun_inpaint_high_noise_14B_fp8_scaled.safetensors
│ │ ├── wan2.2_fun_inpaint_low_noise_14B_bf16.safetensors
│ │ ├── wan2.2_fun_inpaint_low_noise_14B_fp8_scaled.safetensors
│ │ ├── wan2.2_fun_vace_high_noise_14B_bf16.safetensors
│ │ ├── wan2.2_fun_vace_high_noise_14B_fp8_scaled.safetensors
│ │ ├── wan2.2_fun_vace_low_noise_14B_bf16.safetensors
│ │ ├── wan2.2_fun_vace_low_noise_14B_fp8_scaled.safetensors
│ │ ├── wan2.2_i2v_high_noise_14B_fp16.safetensors
│ │ ├── wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors
│ │ ├── wan2.2_i2v_low_noise_14B_fp16.safetensors
│ │ ├── wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors
│ │ ├── wan2.2_s2v_14B_bf16.safetensors
│ │ ├── wan2.2_s2v_14B_fp8_scaled.safetensors
│ │ ├── wan2.2_t2v_high_noise_14B_fp16.safetensors
│ │ ├── wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors
│ │ ├── wan2.2_t2v_low_noise_14B_fp16.safetensors
│ │ ├── wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors
│ │ └── wan2.2_ti2v_5B_fp16.safetensors
│ ├── loras/
│ │ ├── chronoedit_distill_lora.safetensors
│ │ ├── wan2.2_animate_14B_relight_lora_bf16.safetensors
│ │ ├── wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors
│ │ ├── wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors
│ │ ├── wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors
│ │ └── wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors
│ ├── text_encoders/
│ │ ├── umt5_xxl_fp16.safetensors
│ │ └── umt5_xxl_fp8_e4m3fn_scaled.safetensors
│ ├── vae/
│ │ ├── wan2.2_vae.safetensors
│ │ └── wan_2.1_vae.safetensors

Examples: https://comfyanonymous.github.io/ComfyUI_examples/wan22/

Workflows

Wan 2.2 14B Image to Video: https://github.com/Comfy-Org/workflow_templates/blob/main/templates/video_wan2_2_14B_i2v.json
Wan 2.2 14B First-Last Frame to Video: https://github.com/Comfy-Org/workflow_templates/blob/main/templates/video_wan2_2_14B_flf2v.json
Wan 2.2 14B Text to Video: https://github.com/Comfy-Org/workflow_templates/blob/main/templates/video_wan2_2_14B_t2v.json
Wan 2.2 5B Video Generation: https://github.com/Comfy-Org/workflow_templates/blob/main/templates/video_wan2_2_5B_ti2v.json
Wan 2.2 14B Fun Control: https://github.com/Comfy-Org/workflow_templates/blob/main/templates/video_wan2_2_14B_fun_control.json
Wan2.2-S2V Audio-Driven Video Generation: https://github.com/Comfy-Org/workflow_templates/blob/main/templates/video_wan2_2_14B_s2v.json
ChronoEdit 14B: Image Edit: https://github.com/Comfy-Org/workflow_templates/blob/main/templates/image_chrono_edit_14B.json
Wan 2.2 14B Fun Camera Control: https://github.com/Comfy-Org/workflow_templates/blob/main/templates/video_wan2_2_14B_fun_camera.json
Wan 2.2 5B Fun Control: https://github.com/Comfy-Org/workflow_templates/blob/main/templates/video_wan2_2_5B_fun_control.json
Wan 2.2 14B Fun Inp: https://github.com/Comfy-Org/workflow_templates/blob/main/templates/video_wan2_2_14B_fun_inpaint.json
Wan 2.2 5B Fun Inpaint: https://github.com/Comfy-Org/workflow_templates/blob/main/templates/video_wan2_2_5B_fun_inpaint.json

Identity and Version

Repository: Comfy-Org/Wan-2.2
Publisher: Comfy Org
Task: Image to video
Modality: Other
Library: diffusion-single-file
Parameters: Not stated by the source
Languages: Not stated by the source
Revision: ee6f4a40737a995bf5818954cfce6d59443b0f04
First published: 2025-07-27
Last updated: 2026-09-23

Files and Weights

45 files, 728.7 GB in total. The weights are 43 files totalling 728.7 GB in safetensors.

Weights43 files · 728.7 GB

Documentation1 file · 6.0 KB

Repository1 file · 1.5 KB

Every file

File	Type	Size	SHA-256
split_files/audio_encoders/wav2vec2_large_english_fp16.safetensors	Weights	631.0 MB	f0017a43ea57
split_files/diffusion_models/chrono_edit_14B_fp16.safetensors	Weights	32.8 GB	3294a5795e6c
split_files/diffusion_models/wan2.2_animate_14B_bf16.safetensors	Weights	34.5 GB	7d37cb012048
split_files/diffusion_models/wan2.2_animate_14B_int8_convrot.safetensors	Weights	18.4 GB	419aa0b3d907
split_files/diffusion_models/wan2.2_fun_camera_high_noise_14B_bf16.safetensors	Weights	29.6 GB	b242a310d161
split_files/diffusion_models/wan2.2_fun_camera_high_noise_14B_fp8_scaled.safetensors	Weights	15.3 GB	89a99cb5ab29
split_files/diffusion_models/wan2.2_fun_camera_low_noise_14B_bf16.safetensors	Weights	29.6 GB	277a7b0374f9
split_files/diffusion_models/wan2.2_fun_camera_low_noise_14B_fp8_scaled.safetensors	Weights	15.3 GB	a2b7b361e3fa
split_files/diffusion_models/wan2.2_fun_control_5B_bf16.safetensors	Weights	10.0 GB	ace4718a7c87
split_files/diffusion_models/wan2.2_fun_control_high_noise_14B_bf16.safetensors	Weights	28.6 GB	e4be07ca25d6
split_files/diffusion_models/wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors	Weights	14.3 GB	aa2f6b6f4cfc
split_files/diffusion_models/wan2.2_fun_control_low_noise_14B_bf16.safetensors	Weights	28.6 GB	d82bc21cd703
split_files/diffusion_models/wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors	Weights	14.3 GB	0f83c7b1cd6d
split_files/diffusion_models/wan2.2_fun_inpaint_5B_bf16.safetensors	Weights	10.0 GB	680a45b769e2
split_files/diffusion_models/wan2.2_fun_inpaint_high_noise_14B_bf16.safetensors	Weights	28.6 GB	c5629ded970a
split_files/diffusion_models/wan2.2_fun_inpaint_high_noise_14B_fp8_scaled.safetensors	Weights	14.3 GB	6106c137d8a9
split_files/diffusion_models/wan2.2_fun_inpaint_low_noise_14B_bf16.safetensors	Weights	28.6 GB	67408d1a1a57
split_files/diffusion_models/wan2.2_fun_inpaint_low_noise_14B_fp8_scaled.safetensors	Weights	14.3 GB	a3981f3e0f79
split_files/diffusion_models/wan2.2_fun_vace_high_noise_14B_bf16.safetensors	Weights	34.7 GB	66c61b736c56
split_files/diffusion_models/wan2.2_fun_vace_high_noise_14B_fp8_scaled.safetensors	Weights	17.3 GB	23130f30207f
split_files/diffusion_models/wan2.2_fun_vace_low_noise_14B_bf16.safetensors	Weights	34.7 GB	0bf791adfb83
split_files/diffusion_models/wan2.2_fun_vace_low_noise_14B_fp8_scaled.safetensors	Weights	17.3 GB	ca55a5cc543e
split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp16.safetensors	Weights	28.6 GB	c21c21efa368
split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors	Weights	14.3 GB	6122e79d55e0
split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp16.safetensors	Weights	28.6 GB	edb89340c8a6
split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors	Weights	14.3 GB	5471a457b6ac
split_files/diffusion_models/wan2.2_s2v_14B_bf16.safetensors	Weights	32.6 GB	a61c103c1e01
split_files/diffusion_models/wan2.2_s2v_14B_fp8_scaled.safetensors	Weights	16.4 GB	140e75af5534
split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp16.safetensors	Weights	28.6 GB	c793e1515320
split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors	Weights	14.3 GB	cad711ae211c
split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp16.safetensors	Weights	28.6 GB	431d1613ffa8
split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors	Weights	14.3 GB	e71b96d7c82e
split_files/diffusion_models/wan2.2_ti2v_5B_fp16.safetensors	Weights	10.0 GB	456f901338bd
split_files/loras/chronoedit_distill_lora.safetensors	Weights	375.9 MB	0af09f4b30ff
split_files/loras/wan2.2_animate_14B_relight_lora_bf16.safetensors	Weights	1.4 GB	5f4b6b9d3bc7
split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors	Weights	1.2 GB	d176c808d6fc
split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors	Weights	1.2 GB	024f21de095b
split_files/loras/wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors	Weights	1.2 GB	698321cb86bd
split_files/loras/wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors	Weights	1.2 GB	ec95216e614b
split_files/text_encoders/umt5_xxl_fp16.safetensors	Weights	11.4 GB	7b8850f1961e
split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors	Weights	6.7 GB	c3355d30191f
split_files/vae/wan2.2_vae.safetensors	Weights	1.4 GB	e40321bd36b9
split_files/vae/wan_2.1_vae.safetensors	Weights	253.8 MB	2fc39d31359a
README.md	Documentation	6.0 KB	—
.gitattributes	Repository	1.5 KB	—

License and Download

License: apache-2.0
Access: Open weights, no gate
Download size: 728.7 GB

Download from Comfy Org

Released by Comfy Org through its official repository on Hugging Face. Read the license.

Built From

Derived from Wan-AI/Wan2.2-Animate-14B

Memory Requirements

Precision	Weights in memory
As published	728.7 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About Wan-2.2

Can I use Wan-2.2 commercially?

Yes. Wan-2.2 is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

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