Model reference · open weights
Wan2.1-T2V is an open-weight video model from city96, 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
This is a direct GGUF conversion of Wan-AI/Wan2.1-T2V-14B 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 VAE can be downloaded from this repository by Kijai Please refer to this chart for a basic overview of quantization types.
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | city96 |
|---|---|
| Type | Video models |
| Variants | 1 |
| Runs with | gguf |
| Based on | Wan-AI/Wan2.1-T2V-14B |
| Released | 2025-02-26 |
| Popularity | 31k downloads / month |
| Likes | 192 |
| 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 |
|---|---|---|---|---|---|
| Wan2.1-T2V-14B-gguf | — | GGUF | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys city96-wan2-1-t2v for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (city96-wan2-1-t2v 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":"city96-wan2-1-t2v","prompt":"a drone shot over a forest"}'
Details
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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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