alt.freeweights.video / Wan2.2-Animate-14B-Diffusers
From: Wan-AI <huggingface.co/Wan-AI>Newsgroups: alt.freeweights.videoSubject:

Wan2.2-Animate-14B-Diffusers

Date: 2026-11-15Commit: 6f4df10Signed: 2DC28CC7B26A283B ✓

Model with 17.3B parameters. Safetensors weights, 82.3 GB in all. Published by Wan-AI under Apache-2.0.

17.3B params82.3GBWan2.2-Animate-14B-Diffuserssafetensorspermissive
FactsParams17.3BSize82.3 GBFormatssafetensorsTasknot taggedLicenseApache-2.0From sourcepermissive
$ fw get Wan-AI/Wan2.2-Animate-14B-Diffusers
# manifest sha256 5051c66f9907… · 82.3 GB · 40 files
$ fw verify ./Wan2.2-Animate-14B-Diffusers Wan-AI/Wan2.2-Animate-14B-Diffusers
From sourceHosted (signed)Wan-AI/Wan2.2-Animate-14B-DiffusersLast check: 2026-11-15 03:23 UTC

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

Works with

Runs with

Ranked by fit to this model (safetensors), then by GitHub stars.

Overview

Size
82.3 GB
Weights
82.2 GB (safetensors)
Parameters
17.3B
Formats
safetensors
Task
not tagged
License
Apache-2.0 (permissive)
Files
40, each with a sha256
Publisher
Wan-AI
Added
2026-11-15
Section
alt.freeweights.video
Lineage

Original release from the publisher.

Where these bytes come from
Publisher at the pinned commit→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.co2026-11-15 03:23 UTCpassed

Model card

No model card stored here.No README was stored for this model. Read the publisher's page: https://huggingface.co/Wan-AI/Wan2.2-Animate-14B-Diffusers

Files

40 files · 82.3 GBWeights 82.2 GB (safetensors). Sizes and sha256 from the signed manifest.
Show all 40 files with their sha256
FileSizesha256
.gitattributes1.58 KBcaf3ca02d5e883f643e939cbed54f94237f94c171797f0dfea5e25c7e33315b3
README.md56 B9d709394aaf52c83e79e7f6fb6555cf7e13d1194d2f3d9908db3144d9e04f8a3
image_encoder/config.json498 Bc145715057b80f65fab306986f4a4f8e41f0b499745cc5ef0aa9f90ae263c3cb
image_encoder/model.safetensors1.26 GBe672f7dcb7f46458f8edc218669bc25d7ab1fc48bec53e8bd5b957bc1386a5e4
image_processor/merges.txt525 KB9fd691f7c8039210e0fced15865466c65820d09b63988b0174bfe25de299051a
image_processor/preprocessor_config.json466 B205d45875859846dc1ca211b9a19f5db72f47e953b396954ee34d48d8e95c3c6
image_processor/special_tokens_map.json588 B2cdb3b8331a60c92fc1e55a13e9fd61fd2293c5a51275fdcccd62b780052530e
image_processor/tokenizer.json3.64 MB6d9109cc838977f3ca94a379eec36aecc7c807e1785cd729660ca2fc0171fb35
image_processor/tokenizer_config.json774 Bc3d2a67c48a59ffa8fd92de060608524b12cae93acb4fe83e5eb03147a001f5a
image_processor/vocab.json862 KB5047b556ce86ccaf6aa22b3ffccfc52d391ea4accdab9c2f2407da5b742d4363
model_index.json555 B7f7a9170e949a570cea3addf7c0bdcfd28d1b4aacf462d1cb452bd0009923eec
scheduler/scheduler_config.json820 Bb8d06561e695a4fdf8b26b5c8dd1f305aade4a4d771f70019bff1bd2b63adf10
text_encoder/config.json806 Bb5efc7f156f114b13fcb58d3e395f5b51dd3c9317572890b56ed4e6393c1680b
text_encoder/model-00001-of-00003.safetensors4.94 GBa8e861969c7433e707cc5a74065d795d36cca07ec96eb6763eb4083df7248f58
text_encoder/model-00002-of-00003.safetensors4.98 GBd57d948ece4837d850b7a859a4415121d57cacf8b9ee1d4db200c67f592902d7
text_encoder/model-00003-of-00003.safetensors1.44 GB0da9ee284e21d1406df708788db1d502d95d75f69faa25cd26151bf8829b7c5f
text_encoder/model.safetensors.index.json22.5 KB44944817a9a9055a60de879bb54163a8cc137c350116b8a122b3b9ae59ba88cf
tokenizer/special_tokens_map.json7.08 KB456b58fd240a06c743a7c2cf8008bec501240d68ebd1fc4018ea569505fea270
tokenizer/spiece.model4.55 MBe3909a67b780650b35cf529ac782ad2b6b26e6d1f849d3fbb6a872905f452458
tokenizer/tokenizer.json16.8 MB20a46ac256746594ed7e1e3ef733b83fbc5a6f0922aa7480eda961743de080ef
tokenizer/tokenizer_config.json61.8 KB89bef11d01c80a229079666dd470d536aba87b8eaa00b51cc481ba625be59269
transformer/config.json808 B8d9e87398180c94b7f7e1d41b8db7bf2c95470e4feabd4ce40d02e336686212c
transformer/diffusion_pytorch_model-00001-of-00015.safetensors4.99 GB0cf4f1c465fae359151fc8b52cedb1f3a78a722802c672943a608bdf6105b97a
transformer/diffusion_pytorch_model-00002-of-00015.safetensors4.95 GBab964d30dcea803df523afdd4b4f074d442fae82e0340b315765cd55f94ff012
transformer/diffusion_pytorch_model-00003-of-00015.safetensors4.95 GB77d618fc20a1d25f34c83c17285684f800c7cc8d8dcfc69f13022fdc4e3d64fd
transformer/diffusion_pytorch_model-00004-of-00015.safetensors4.95 GBf925a53740aed6d7d40d23760eb1d876875fccdfdaaecfd28492054ddc91dc8e
transformer/diffusion_pytorch_model-00005-of-00015.safetensors4.95 GB5a4e9495fa68472f279ef8f54d167afc104a704975f4ef6dee19c319a977b239
transformer/diffusion_pytorch_model-00006-of-00015.safetensors4.85 GB8f45df9b4c29ab1f4e9f1199a478795cdf27e2d24984b100f3ffab9baf988a3b
transformer/diffusion_pytorch_model-00007-of-00015.safetensors4.85 GB145fadd6684640f471aaf5913bf9a27c326a8e867443514dd21590fec5d2822c
transformer/diffusion_pytorch_model-00008-of-00015.safetensors4.85 GB1181b080550e174daee52b540a575b7d3174d63cdaa781d5c8da634d73ffd864
transformer/diffusion_pytorch_model-00009-of-00015.safetensors4.85 GB0f6de9d6dfb8781685a1b4a8a65982d1f3c18f77cc434ef50df84f4d3df08281
transformer/diffusion_pytorch_model-00010-of-00015.safetensors4.85 GB54478845d5bcae7a398061745da0829496af249432ae6d3f4b84100b4b43dc1d
transformer/diffusion_pytorch_model-00011-of-00015.safetensors4.85 GBa07448e2357f9cefb781e6772072183dc96b440c3217d2c268cf4862b32a41a2
transformer/diffusion_pytorch_model-00012-of-00015.safetensors4.85 GB4b47a7805c7f7ba37c6085676c6f26433474b5203cd1abd4bb98c2f0e48c5122
transformer/diffusion_pytorch_model-00013-of-00015.safetensors4.85 GB0c23e0b1e18d7eb29572f57038c02a1e00f1387f6054ff1183edf9d2f1432d4a
transformer/diffusion_pytorch_model-00014-of-00015.safetensors4.91 GBf2e3c3be5814ba1b3064fc719c2e746999b2b2eff222851bf4419fb52b1bc91e
transformer/diffusion_pytorch_model-00015-of-00015.safetensors631 MB1e195f8bd32bc25cb1da35985063399147b43ab0b47145d32408531bf219203e
transformer/diffusion_pytorch_model.safetensors.index.json130 KB77242ec6ab0195a09bc8c44e40021d79a8f5a09580ef70ed87ec46b23e7365ce
vae/config.json898 B11f840073d1ed2f4090c738d645994bf896a6c7daea0987a15b4f2ebe89b5128
vae/diffusion_pytorch_model.safetensors508 MBd6e524b3fffede1787a74e81b30976dce5400c4439ba64222168e607ed19e793
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
6f4df10861 pinned now2026-11-15 03:23 UTC40 files · 82.3 GB

Use it

$ fw get Wan-AI/Wan2.2-Animate-14B-Diffusers
# manifest sha256 5051c66f9907… · 82.3 GB · 40 files
$ fw verify ./Wan2.2-Animate-14B-Diffusers Wan-AI/Wan2.2-Animate-14B-Diffusers
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/Wan-AI/Wan2.2-Animate-14B-Diffusers.json --dir ./Wan2.2-Animate-14B-Diffusers $ python3 fw.py verify ./Wan2.2-Animate-14B-Diffusers ./Wan-AI__Wan2.2-Animate-14B-Diffusers.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download Wan-AI/Wan2.2-Animate-14B-Diffusers --revision 6f4df10861c758af86ac3c979aacc1bf5c03eff0 --local-dir ./Wan2.2-Animate-14B-Diffusers
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. 2026-11-15
Text in
README.md
Text sha256
9d709394aaf52c83e79e7f6fb6555cf7e13d1194d2f3d9908db3144d9e04f8a3
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: Wan-AI <huggingface.co/Wan-AI>Newsgroups: alt.freeweights.videoSubject: Wan2.2-Animate-14B-DiffusersDate: 2026-11-15Commit: 6f4df10Signed: 2DC28CC7B26A283B ✓
Upstream
Wan-AI/Wan2.2-Animate-14B-Diffusers
Pinned commit
6f4df10861c758af86ac3c979aacc1bf5c03eff0
Manifest
Wan2.2-Animate-14B-Diffusers.json · .minisig
Manifest sha256
5051c66f9907dded8e517dd6ec6b9110da30b634b215e9bcc8cc2264ccf6cda4
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 03:23 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/Wan-AI/Wan2.2-Animate-14B-Diffusers.json $ curl -O https://freeweights.allternit.com/manifests/Wan-AI/Wan2.2-Animate-14B-Diffusers.json.minisig $ minisign -Vm Wan2.2-Animate-14B-Diffusers.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

No related models in this catalog.Nothing here lists this model as its parent, and it names no parent.
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download Wan-AI/Wan2.2-Animate-14B-Diffusers
Open in Freeweights Studio

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

Signed manifest
minisign, key 2DC28CC7B26A283B. Wan2.2-Animate-14B-Diffusers.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