Wan-2.2
Video Generationimage to video model by Comfy-Org on Hugging Face (diffusion-single-file). 8,230,488 downloads in the last 30 days as of 2026-10-15.
text to video model by off-grid-ai on Hugging Face. 917 downloads in the last 30 days as of 2026-10-15.
Wan2.2-TI2V-5B-GGUF is an open AI model published on Hugging Face by off-grid-ai for text-to-video generation. Its name indicates it belongs to the Wan model family with about 5B parameters, packaged as quantised GGUF weights for llama.cpp-compatible runtimes (Ollama, LM Studio, llama.cpp). Hugging Face reported 917 downloads in the 30 days to 2026-10-15. Weights are free to download from Hugging Face; licence terms are set by the publisher on the model card.
| Publisher | off-grid-ai |
|---|---|
| Task | text-to-video generation |
| Model family (from name) | Wan |
| Parameters (from name) | 5B |
| Format | GGUF |
| Downloads (30 days) | 917 (as of 2026-10-15) |
| Price | Free to download (open weights) |
Listed as Free. Detailed prices haven't been checked from the official site yet; see Wan2.2-TI2V-5B-GGUF.
image to video model by Comfy-Org on Hugging Face (diffusion-single-file). 8,230,488 downloads in the last 30 days as of 2026-10-15.
image to video model by Comfy-Org on Hugging Face (diffusion-single-file). 7,053,732 downloads in the last 30 days as of 2026-10-15.
AI model by Comfy-Org on Hugging Face (diffusion-single-file). 4,360,858 downloads in the last 30 days as of 2026-10-15.
AI model by Comfy-Org on Hugging Face (diffusion-single-file). 3,993,631 downloads in the last 30 days as of 2026-10-15.
AI model by Kijai on Hugging Face (diffusion-single-file). 2,247,257 downloads in the last 30 days as of 2026-10-15.
AI model by DeepBeepMeep on Hugging Face (diffusion-single-file). 823,490 downloads in the last 30 days as of 2026-10-15.
Wan2.2-TI2V-5B-GGUF is an open AI model published on Hugging Face by off-grid-ai for text-to-video generation.
Wan2.2-TI2V-5B-GGUF is listed as free.
1. Open the model page on Hugging Face and pick a quantisation file that fits your RAM/VRAM (smaller Q-numbers use less memory). 2. Run it locally with llama.cpp, LM Studio or Ollama (e.g. `ollama run hf.co/off-grid-ai/Wan2.2-TI2V-5B-GGUF`). 3. Read the model card for the prompt template, context length and licence.
Related models include Wan-2.2, Wan_2.2_ComfyUI_Repackaged, Wan-2.1, Wan_2.1_ComfyUI_repackaged, WanVideo_comfy.
This page is generated from public listing data (source listing, tags, counts and our own link check); check the official page for features, licence and current pricing. Want to master tools like this? See the 100+ AI Tools Course.