Model reference · open weights
Wan2.1-FLF2V-720P is an open-weight video model from city96. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Maker | city96 |
|---|---|
| Type | Video models |
| Task | Image→video |
| Runs with | gguf |
| Based on | Wan-AI/Wan2.1-FLF2V-14B-720P |
| Released | 2025-04-17 |
| Popularity | 7k downloads / month |
| Licence | Open weights |
About
This is a direct GGUF conversion of Wan-AI/Wan2.1-FLF2V-14B-720P
All quants are created from the FP32 base file, though I only uploaded FP16 due to it exceeding the 50GB max file limit and gguf-split loading not currently being supported in ComfyUI-GGUF.
The model files can be used with the ComfyUI-GGUF custom node.
Place model files in ComfyUI/models/unet - see the GitHub readme for further install instructions.
The other files required can be downloaded from this repository by Comfy-Org
Please refer to this chart for a basic overview of quantization types.
From the published model card. Full card on the HuggingFace links in the sidebar.
How it works
Using it via the API
Once AxForge deploys wan2-1-flf2v-720p for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (wan2-1-flf2v-720p 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":"wan2-1-flf2v-720p","prompt":"a drone shot over a forest"}'
Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.