From: Comfy-Org <huggingface.co/Comfy-Org>Newsgroups: alt.freeweights.videoSubject:

Wan-2.2

Date: 2026-11-14Commit: ee6f4a4Signed: 2DC28CC7B26A283B ✓

Image to video model. Safetensors weights, 729 GB in all. Published by Comfy-Org under Apache-2.0.

video729GBWan-2.2safetensorspermissive
FactsParamsnot statedSize729 GBFormatssafetensorsTaskimage to videoLicenseApache-2.0From sourcepermissive
$ fw get Comfy-Org/Wan-2.2
# manifest sha256 33bdbec835d0… · 729 GB · 45 files
$ fw verify ./Wan-2.2 Comfy-Org/Wan-2.2
From sourceHosted (signed)Comfy-Org/Wan-2.2Last check: 2026-11-14 21:26 UTC

Get help: custom fine-tune or private deploy. We review your setup before we quote.

Fine-tune of Wan2.2-Animate-14B.

Works with

Overview

Size
729 GB
Weights
729 GB (safetensors)
Parameters
not stated
Formats
safetensors
Task
image to video
License
Apache-2.0 (permissive)
Files
45, each with a sha256
Publisher
Comfy-Org
Added
2026-11-14
Section
alt.freeweights.video
Lineage

Original release from the publisher.

Base model: Wan-AI/Wan2.2-Animate-14B

Where these bytes come from
Publisher at the pinned commitโ†’You

Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.

Sources
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-14 21:26 UTCpassed

Model card

From the publisher at commit ee6f4a4. Shown as plain text with links; images open at the publisher.

Wan 2.2#

Repackaged model files for ComfyUI.

Original model repository:

Place the files in the following folders:

๐Ÿ“‚ ComfyUI/
โ”œโ”€โ”€ ๐Ÿ“‚ models/
โ”‚   โ”œโ”€โ”€ ๐Ÿ“‚ audio_encoders/
โ”‚   โ”‚   โ””โ”€โ”€ wav2vec2_large_english_fp16.safetensors
โ”‚   โ”œโ”€โ”€ ๐Ÿ“‚ diffusion_models/
โ”‚   โ”‚   โ”œโ”€โ”€ chrono_edit_14B_fp16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_animate_14B_bf16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_animate_14B_int8_convrot.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_camera_high_noise_14B_bf16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_camera_high_noise_14B_fp8_scaled.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_camera_low_noise_14B_bf16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_camera_low_noise_14B_fp8_scaled.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_control_5B_bf16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_control_high_noise_14B_bf16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_control_low_noise_14B_bf16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_inpaint_5B_bf16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_inpaint_high_noise_14B_bf16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_inpaint_high_noise_14B_fp8_scaled.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_inpaint_low_noise_14B_bf16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_inpaint_low_noise_14B_fp8_scaled.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_vace_high_noise_14B_bf16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_vace_high_noise_14B_fp8_scaled.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_vace_low_noise_14B_bf16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_fun_vace_low_noise_14B_fp8_scaled.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_i2v_high_noise_14B_fp16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_i2v_low_noise_14B_fp16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_s2v_14B_bf16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_s2v_14B_fp8_scaled.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_t2v_high_noise_14B_fp16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_t2v_low_noise_14B_fp16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors
โ”‚   โ”‚   โ””โ”€โ”€ wan2.2_ti2v_5B_fp16.safetensors
โ”‚   โ”œโ”€โ”€ ๐Ÿ“‚ loras/
โ”‚   โ”‚   โ”œโ”€โ”€ chronoedit_distill_lora.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_animate_14B_relight_lora_bf16.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors
โ”‚   โ”‚   โ””โ”€โ”€ wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors
โ”‚   โ”œโ”€โ”€ ๐Ÿ“‚ text_encoders/
โ”‚   โ”‚   โ”œโ”€โ”€ umt5_xxl_fp16.safetensors
โ”‚   โ”‚   โ””โ”€โ”€ umt5_xxl_fp8_e4m3fn_scaled.safetensors
โ”‚   โ”œโ”€โ”€ ๐Ÿ“‚ vae/
โ”‚   โ”‚   โ”œโ”€โ”€ wan2.2_vae.safetensors
โ”‚   โ”‚   โ””โ”€โ”€ wan_2.1_vae.safetensors

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

Workflows#

Files

45 files ยท 729 GBWeights 729 GB (safetensors). Sizes and sha256 from the signed manifest.
Show all 45 files with their sha256
FileSizesha256
.gitattributes1.52 KB11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361
README.md5.98 KBc5f31703b82a568ca7aaa49482d1698e74f665e1cf92b47148ad22c01305084d
split_files/audio_encoders/wav2vec2_large_english_fp16.safetensors631 MBf0017a43ea57ef6b3d4866be607844bbd8cada6d30966f7d70044ed0d63d3f9e
split_files/diffusion_models/chrono_edit_14B_fp16.safetensors32.8 GB3294a5795e6cb5d16c8f3f34b8a22fe0a600e35cb49624c52f2100cd320a5988
split_files/diffusion_models/wan2.2_animate_14B_bf16.safetensors34.5 GB7d37cb0120488dec2a061135aa3018426925318a60838c3de935c829abc88667
split_files/diffusion_models/wan2.2_animate_14B_int8_convrot.safetensors18.4 GB419aa0b3d9079a8a39126f2894c3cb2427c288189d2dc8342c61cf0663731cb3
split_files/diffusion_models/wan2.2_fun_camera_high_noise_14B_bf16.safetensors29.6 GBb242a310d161460d3ecf8430d4f8ee01398bebc3925a479c267b71318e8e30ad
split_files/diffusion_models/wan2.2_fun_camera_high_noise_14B_fp8_scaled.safetensors15.3 GB89a99cb5ab29e388f2e24fddac48eab4d88ca339d236c7a8d96aabacd0f525ae
split_files/diffusion_models/wan2.2_fun_camera_low_noise_14B_bf16.safetensors29.6 GB277a7b0374f9d0d5ba0e769fa9648687301cfff8b32d32c9b57d122dbea24c02
split_files/diffusion_models/wan2.2_fun_camera_low_noise_14B_fp8_scaled.safetensors15.3 GBa2b7b361e3fad907958aa6ad662a3673bad5ffdce14706cffde4baabb98f9020
split_files/diffusion_models/wan2.2_fun_control_5B_bf16.safetensors10.0 GBace4718a7c87ee3e5606a68ab79142c4395e81aece76b8120bc886f0fbbe1d16
split_files/diffusion_models/wan2.2_fun_control_high_noise_14B_bf16.safetensors28.6 GBe4be07ca25d67aaf3461ef87fbb5ad8762f602a5efa620aea9dc250ac2747a9d
split_files/diffusion_models/wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors14.3 GBaa2f6b6f4cfc8a75a273a075db31730530f93320a996b153b8825205c3a3c498
split_files/diffusion_models/wan2.2_fun_control_low_noise_14B_bf16.safetensors28.6 GBd82bc21cd703e089eee4f6fabc25e90ebbd00965623fdc5e83d46d01dbeac2c3
split_files/diffusion_models/wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors14.3 GB0f83c7b1cd6d509ff3504a8f604ca9d9876a8b1ed04f6e05095c4a7ccb9009cd
split_files/diffusion_models/wan2.2_fun_inpaint_5B_bf16.safetensors10.0 GB680a45b769e2e6ed0ef3710a32ad824baa85d546e534b6f49adcd2b32d42d29a
split_files/diffusion_models/wan2.2_fun_inpaint_high_noise_14B_bf16.safetensors28.6 GBc5629ded970ac8070f7b0cadf4249060710e384e2a7724fe5f5d1e2714fe9c60
split_files/diffusion_models/wan2.2_fun_inpaint_high_noise_14B_fp8_scaled.safetensors14.3 GB6106c137d8a921bc17d579c3e9deaa4fc4fadbc77fbe733f43ff19bb33ec3995
split_files/diffusion_models/wan2.2_fun_inpaint_low_noise_14B_bf16.safetensors28.6 GB67408d1a1a577b4d0257b57c31093fdc4b3ebcdef27fbfd354cfc7dbcec3b1a7
split_files/diffusion_models/wan2.2_fun_inpaint_low_noise_14B_fp8_scaled.safetensors14.3 GBa3981f3e0f79c59fb3cffe1240ee34656bbc57e599101fac2b7140461037ab9c
split_files/diffusion_models/wan2.2_fun_vace_high_noise_14B_bf16.safetensors34.7 GB66c61b736c5674deeeef17861e494d3652cc9b1463a9656bf18c2c72d2c5f007
split_files/diffusion_models/wan2.2_fun_vace_high_noise_14B_fp8_scaled.safetensors17.3 GB23130f30207f6c8697a5bead113ddc9904cfbb5e8fa51a550df3cee4d21fb54c
split_files/diffusion_models/wan2.2_fun_vace_low_noise_14B_bf16.safetensors34.7 GB0bf791adfb8330d451d2f5c03577b2a8fb780453f8ef05e23a8fa91f27a2134d
split_files/diffusion_models/wan2.2_fun_vace_low_noise_14B_fp8_scaled.safetensors17.3 GBca55a5cc543e28576edbd2079f8c1de05f71cd9e85bf96fab635f55663dbcb69
split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp16.safetensors28.6 GBc21c21efa368d529a982a7d89dd11d86608b5937cae9a125d0ffe5491918a100
split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors14.3 GB6122e79d55e0f235698d11d657f3b196c5273c830da00b2b013c5a048d5e6a42
split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp16.safetensors28.6 GBedb89340c8a6fbf1a70e76a839ae01eaf7d289f05ea1ebd6b1a3fc6f533826e9
split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors14.3 GB5471a457b6ac404202a5fbe6c11595a3d5641fc766b00f38763f72303fffc21e
split_files/diffusion_models/wan2.2_s2v_14B_bf16.safetensors32.6 GBa61c103c1e0118123a222af1b8bbd0bc5d6b6bda70e6b182c653c4a16908692e
split_files/diffusion_models/wan2.2_s2v_14B_fp8_scaled.safetensors16.4 GB140e75af5534ac3d91e710d9df756f7032addd64b341ba2c1c70e3e6da9aa216
split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp16.safetensors28.6 GBc793e1515320fc8883ac8f97e2a45270c35edd8c4e334a6d42d3e95455bd8da2
split_files/diffusion_models/wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors14.3 GBcad711ae211c8b23455ec68cd6a190a33a3d874234a77eb57266d73f8f0e6c9f
split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp16.safetensors28.6 GB431d1613ffa809ae1f735b661a01788c6d74991f51efd01f45d5aee955ccd224
split_files/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors14.3 GBe71b96d7c82e638694c5e7fb98fac4bfb0e4ddc5fbbb4b1df40da8f0f1278a97
split_files/diffusion_models/wan2.2_ti2v_5B_fp16.safetensors10.00 GB456f901338bd9eadbded3828b819109a9b68e8a525ca5cf8d0049a69fcfeca1e
split_files/loras/chronoedit_distill_lora.safetensors376 MB0af09f4b30ffeb8baddb3a18b279707520af89bb16eb9041ad97de432deb24f1
split_files/loras/wan2.2_animate_14B_relight_lora_bf16.safetensors1.44 GB5f4b6b9d3bc745a86e7bfd511f3880d90cf59c3bded9584d92c028f583fa74a3
split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors1.23 GBd176c808d6fc461999b68e321efcb7501b20b8c3797523ed0df14f7d1deff11e
split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors1.23 GB024f21de095bc8fad9809ded3e9e49a2e170dcf27075da8145ba7d60d8aab7f9
split_files/loras/wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors1.23 GB698321cb86bd30c4af06c9b84e656a1048c8cb54e06d50694536fb5de37fde41
split_files/loras/wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors1.23 GBec95216e614b3c132c11bfb387b11feedf62163150ccc9068bca8a189771e75a
split_files/text_encoders/umt5_xxl_fp16.safetensors11.4 GB7b8850f1961e1cf8a77cca4c964a358d303f490833c6c087d0cff4b2f99db2af
split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors6.74 GBc3355d30191f1f066b26d93fba017ae9809dce6c627dda5f6a66eaa651204f68
split_files/vae/wan2.2_vae.safetensors1.41 GBe40321bd36b9709991dae2530eb4ac303dd168276980d3e9bc4b6e2b75fed156
split_files/vae/wan_2.1_vae.safetensors254 MB2fc39d31359a4b0a64f55876d8ff7fa8d780956ae2cb13463b0223e15148976b
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
ee6f4a4073 pinned now manifest updated, same commit2026-11-14 21:26 UTC45 files ยท 729 GB
ee6f4a40732026-11-14 21:26 UTC45 files ยท 729 GB

Use it

$ fw get Comfy-Org/Wan-2.2
# manifest sha256 33bdbec835d0… · 729 GB · 45 files
$ fw verify ./Wan-2.2 Comfy-Org/Wan-2.2
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/Comfy-Org/Wan-2.2.json --dir ./Wan-2.2 $ python3 fw.py verify ./Wan-2.2 ./Comfy-Org__Wan-2.2.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download Comfy-Org/Wan-2.2 --revision ee6f4a40737a995bf5818954cfce6d59443b0f04 --local-dir ./Wan-2.2
Packaged for ComfyUI. Most image, video and music models run in ComfyUI . Check the publisher's page for the workflow. Freeweights does not host it.

License

Name
Apache License 2.0
Id
Apache-2.0
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
License as declared by the publisher. No person read it. 2026-11-14
Text in
README.md
Text sha256
c5f31703b82a568ca7aaa49482d1698e74f665e1cf92b47148ad22c01305084d
Terms gate
No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From: Comfy-Org <huggingface.co/Comfy-Org>Newsgroups: alt.freeweights.videoSubject: Wan-2.2Date: 2026-11-14Commit: ee6f4a4Signed: 2DC28CC7B26A283B ✓
Upstream
Comfy-Org/Wan-2.2
Pinned commit
ee6f4a40737a995bf5818954cfce6d59443b0f04
Manifest
Wan-2.2.json ยท .minisig
Manifest sha256
33bdbec835d0af582aec6bd19b9f1db2406941fe13492505ea24c0a3eefa2853
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-14 21:26 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/Comfy-Org/Wan-2.2.json $ curl -O https://freeweights.allternit.com/manifests/Comfy-Org/Wan-2.2.json.minisig $ minisign -Vm Wan-2.2.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq $ shasum -a 256 <file> # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

Parent

Wan-AI/Wan2.2-Animate-14B ยท this model is a finetune of it

No model in the catalog names this one as its parent.

Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download Comfy-Org/Wan-2.2
Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest
minisign, key 2DC28CC7B26A283B. Wan-2.2.json. Provenance. Takedown history: none.
From: Comfy-Org <huggingface.co/Comfy-Org>Subject: Bernini-R
From: Comfy-Org <huggingface.co/Comfy-Org>Subject: Causal-Forcing-Framewise
From: Comfy-Org <huggingface.co/Comfy-Org>Subject: HuMo
From: bytedance-research <huggingface.co/bytedance-research>Subject: HuMo
From: genmo <huggingface.co/genmo>Subject: mochi-1-preview
From: Comfy-Org <huggingface.co/Comfy-Org>Subject: Mochi-Preview