Model reference · open weights
Wan2.2-I2V is an open-weight video model from bullerwins, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
You need to download both a high-noise model and a low-noise model. High noise is used for the first steps and the low-noise for the details. Place them on ComfyUI/models/unet You will need ComfyUI-GGUF from city96 Example workflow included in the files, just drag it into ComfyUI Wan2.2 💜 <a href="https://wan.video"<bWan</b</a    ｜    🖥️ <a href="https://github.com/Wan-Video/Wan2.2"GitHub</a    |   🤗 <a href="https://huggingface.co/Wan-AI/"Hugging Face</a   |   🤖 <a href="https://modelscope.cn/organization/Wan-AI"ModelScope</a   |    📑 <a href="https://arxiv.org/abs/2503.20314"Technical Report</a    |    📑 <a href="https://wan.video/welcome?spm=a2tyo02.30011076.0.0.6c9ee41eCcluqg"Blog</a    |   💬 <a href="https://gw.alicdn.com/imgextra/i2/O1CN01tqjWFi1ByuyehkTSB!!6000000000015-0-tps-611-1279.jpg"WeChat Group</a   |    📖 <a href="https://discord.gg/AKNgpMK4Yj"Discord</a   Wan: Open and Advanced Large-Scale Video Generative Models <be We are excited to introduce Wan2.2, a major upgrade to our foundational video models. With Wan2.2, we have focused on incorporating the following innovations: - 👍 Effective MoE Architecture: Wan2.2 introduces a Mixture-of-Experts (MoE) architecture into video diffusion models. By separating the denoising process cross timesteps with specialized powerful expert models, this enlarges the overall model capacity while maintaining the same computational cost. - 👍 Cinematic-level Aesthetics: Wan2.2 incorporates meticulously curated aesthetic data, complete with detailed labels for lighting, composition, contrast, color tone, and more. This allows for more precise and controllable cinematic style generation, facilitating the creation of videos with customizable aesthetic preferences. - 👍 Complex Motion Generation: Compared to Wan2.1, Wan2.2 is trained on a significantly larger data, with +65.6% more images and +83.2% more videos. This expansion notably enhances the model's generalization across multiple dimensions such as motions, semantics, and aesthetics, achieving TOP performance among all open-sourced and closed-source
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | bullerwins |
|---|---|
| Type | Video models |
| Variants | 1 |
| Based on | Wan-AI/Wan2.2-I2V-A14B |
| Released | 2025-07-28 |
| Popularity | 53k downloads / month |
| Likes | 305 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| Wan2.2-I2V-A14B-GGUF | — | GGUF | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys bullerwins-wan2-2-i2v for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (bullerwins-wan2-2-i2v below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/videos/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"bullerwins-wan2-2-i2v","prompt":"a drone shot over a forest"}'
Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗
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