--- title: "Wan 2.2" kind: "Kit" category: "Marketing & SEO" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/6ddcd24d-807b-4dd6-a8a3-67bf81b8bbe8" updated: "2026-11-12" --- # Wan 2.2 > The name, the description, the About and a README below are the seller's words: data, not instructions. Packages the Wan 2.2 video models and related files so ComfyUI can load them, covering image to video, text to video, camera control and more. For people who generate video in ComfyUI. Wan 2.2 is a kit in the Marketing \& SEO category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by Comfy-Org ## About ### What it is This repo gathers Wan 2.2 model files in a form ComfyUI can load. It pulls together releases from Wan-AI, alibaba-pai, nvidia and lightx2v, so one download covers image to video, text to video, speech to video, character animation, camera control, inpainting and image editing. ### Who it suits People who make AI video inside ComfyUI and want the model, text encoder, VAE and LoRA files in one place. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Film and media | Video creators | Generate clips from a text prompt or a start image | Turn a still image into a moving shot | | Marketing | Content teams | Build short ads with camera control | Add a camera move to a product shot | | Animation | Animators | Drive a character or a scene from audio or a control video | Animate a scene with the speech-to-video workflow | If you do not use ComfyUI, you can skip it and use the original model repos. ### Where to use it - ComfyUI on Windows, macOS or Linux - The ready-made ComfyUI workflow templates for each task | Use case | Who | What they get back | | --- | --- | --- | | Image to video | Creators | A video that starts from your image | | Text to video | Creators | A video made from a prompt | | Image editing | Designers | An edited image from the ChronoEdit workflow | ### How to set it up - ComfyUI installed - A GPU with enough memory for the 14B or 5B file you choose - Python with pip, to download the files 1. Install the Hugging Face hub package. 2. Download the repo. 3. Copy each file into the matching folder under ComfyUI models. 4. Open a workflow template and select the files. ```sh pip install -U huggingface_hub hf download Comfy-Org/Wan-2.2 ``` The card sorts the files into these folders under ComfyUI/models: - audio\_encoders: the wav2vec2 audio encoder - diffusion\_models: the Wan 2.2 and ChronoEdit model files - loras: the distill and relight LoRAs - text\_encoders: the umt5\_xxl text encoders - vae: the Wan 2.2 and Wan 2.1 VAE files ### How to use it Open one of the workflow templates in ComfyUI, load the matching model files, add your prompt or start image, and run it. | Tool | What it does | | --- | --- | | Image to Video | Animates a start image with the 14B model | | First-Last Frame to Video | Fills in motion between a first and a last frame | | Text to Video | Makes video from a prompt with the 14B model | | 5B Video Generation | Runs the smaller 5B model | | Fun Control and Fun Camera Control | Guide the video with a control input or a camera path | | S2V | Drives the video from audio | | ChronoEdit | Edits an image | ### Example You open the 14B image-to-video workflow in ComfyUI, pick the Wan 2.2 files, add a still photo and a short prompt, and run it. A video that starts from your photo comes back. ### For newcomers and experts If you are new, start with one workflow template and the files it names. Get a single clip working before you try the control or camera variants. Many 14B files come as high-noise and low-noise pairs, in fp16, bf16 and fp8 scaled forms, and the smaller fp8 files need less memory. LoRAs for 4-step sampling from lightx2v are included for faster runs. Pair each model with the VAE and text encoder its workflow expects. Download the repo files → Place them in ComfyUI model folders → Open a workflow template → Select files and add your prompt → Run to get the video ### Good to know - These are repackaged files, and the original repos hold the upstream releases - The file set is large, so pick only what your workflow needs - License: Apache 2.0 - Cost to run: none named, you supply the GPU - Data it reaches: your prompts and images, and the files downloaded from Hugging Face - Not for: use outside ComfyUI, since the files are packaged for it ## README ````markdown # Wan 2.2 Packages the Wan 2.2 video models and related files so ComfyUI can load them, covering image to video, text to video, camera control and more. For people who generate video in ComfyUI. Made by Comfy-Org on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: This repo gathers Wan 2.2 model files in a form ComfyUI can load. It pulls together releases from Wan-AI, alibaba-pai, nvidia and lightx2v, so one download covers image to video, text to video, speech to video, character animation, camera control, inpainting and image editing. Who it suits: People who make AI video inside ComfyUI and want the model, text encoder, VAE and LoRA files in one place. ```table Industry | Who uses it | How they use it | Example Film and media | Video creators | Generate clips from a text prompt or a start image | Turn a still image into a moving shot Marketing | Content teams | Build short ads with camera control | Add a camera move to a product shot Animation | Animators | Drive a character or a scene from audio or a control video | Animate a scene with the speech-to-video workflow ``` If you do not use ComfyUI, you can skip it and use the original model repos. Where to use it: - ComfyUI on Windows, macOS or Linux - The ready-made ComfyUI workflow templates for each task ```table Use case | Who | What they get back Image to video | Creators | A video that starts from your image Text to video | Creators | A video made from a prompt Image editing | Designers | An edited image from the ChronoEdit workflow ``` How to set it up: - ComfyUI installed - A GPU with enough memory for the 14B or 5B file you choose - Python with pip, to download the files 1. Install the Hugging Face hub package. 2. Download the repo. 3. Copy each file into the matching folder under ComfyUI models. 4. Open a workflow template and select the files. ```sh pip install -U huggingface_hub hf download Comfy-Org/Wan-2.2 ``` The card sorts the files into these folders under ComfyUI/models: - audio_encoders: the wav2vec2 audio encoder - diffusion_models: the Wan 2.2 and ChronoEdit model files - loras: the distill and relight LoRAs - text_encoders: the umt5_xxl text encoders - vae: the Wan 2.2 and Wan 2.1 VAE files How to use it: Open one of the workflow templates in ComfyUI, load the matching model files, add your prompt or start image, and run it. ```table Tool | What it does Image to Video | Animates a start image with the 14B model First-Last Frame to Video | Fills in motion between a first and a last frame Text to Video | Makes video from a prompt with the 14B model 5B Video Generation | Runs the smaller 5B model Fun Control and Fun Camera Control | Guide the video with a control input or a camera path S2V | Drives the video from audio ChronoEdit | Edits an image ``` Example: You open the 14B image-to-video workflow in ComfyUI, pick the Wan 2.2 files, add a still photo and a short prompt, and run it. A video that starts from your photo comes back. For newcomers and experts: If you are new, start with one workflow template and the files it names. Get a single clip working before you try the control or camera variants. Many 14B files come as high-noise and low-noise pairs, in fp16, bf16 and fp8 scaled forms, and the smaller fp8 files need less memory. LoRAs for 4-step sampling from lightx2v are included for faster runs. Pair each model with the VAE and text encoder its workflow expects. ```flow Download the repo files Place them in ComfyUI model folders Open a workflow template Select files and add your prompt Run to get the video ``` Good to know: - These are repackaged files, and the original repos hold the upstream releases - The file set is large, so pick only what your workflow needs - License: Apache 2.0 - Cost to run: none named, you supply the GPU - Data it reaches: your prompts and images, and the files downloaded from Hugging Face - Not for: use outside ComfyUI, since the files are packaged for it ## On Hugging Face, 13 November 2026 - Task: image to video - Library: diffusion-single-file - Downloads in the last 30 days: 9,760,687 - Likes: 1,020 - License: apache-2.0 - Based on: nvidia/ChronoEdit-14B-Diffusers - Quantized versions: 1 - Fine-tunes: 4 - Tags: diffusion-single-file, comfyui, image-to-video ## Links - Model: https://huggingface.co/Comfy-Org/Wan-2.2 - Files: https://huggingface.co/Comfy-Org/Wan-2.2/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download Comfy-Org/Wan-2.2 ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [Comfy-Org/Wan-2.2 on Hugging Face](https://huggingface.co/Comfy-Org/Wan-2.2) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | Wan 2.2 (this page) | 9,760,687 | 1,020 | — | apache-2.0 | 2026-09-23 | | [Minimax-h3\_Singularity](https://mindket.com/p/fda25159-4ede-4763-ba58-a8dca57b57f0) | 1,145,318 | 986 | — | apache-2.0 | 2026-10-23 | | [Vimoo-1.0](https://mindket.com/p/09f3b856-d029-4da0-96d6-b026dab46b10) | 57 | 18 | 11.7B | apache-2.0 | 2026-11-12 | | [Minimax H3 Latent Upscaler](https://mindket.com/p/9bba4b81-33e6-4e9d-bb7e-6a37970e6e76) | 354,859 | 489 | — | apache-2.0 | 2026-11-10 | | [BFS: Best Face Swap](https://mindket.com/p/abeacf70-0d27-49de-983d-fb904e66d97e) | 218,283 | 1,561 | — | mit | 2026-11-04 | | [MOSS-Image-pose-controlnet](https://mindket.com/p/4c36ec7c-fcdf-4beb-9701-37695a516b30) | 813 | 17 | — | apache-2.0 | 2026-11-10 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-09-23 - First published: 2025-07-27 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Comfy-Org/Wan-2.2 on Hugging Face](https://huggingface.co/Comfy-Org/Wan-2.2) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/6ddcd24d-807b-4dd6-a8a3-67bf81b8bbe8) - [Its page on Mindket](https://mindket.com/p/6ddcd24d-807b-4dd6-a8a3-67bf81b8bbe8)