Model reference · open weights
Vid is an open-weight video model from Alignment-Lab-AI. 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
| Released by | Alignment-Lab-AI |
|---|---|
| Type | Video models |
| Task | Image→video |
| Parameters (lead) | 1.9B |
| Runs with | diffusers |
| Released | 2025-08-30 |
| Popularity | 635 downloads / month |
| Licence | Commercial licence needed |
About
This model card focuses on the model associated with the LTX-Video model, codebase available here.
LTX-Video is the first DiT-based video generation model capable of generating high-quality videos in real-time. It produces 30 FPS videos at a 1216×704 resolution faster than they can be watched. Trained on a large-scale dataset of diverse videos, the model generates high-resolution videos with realistic and varied content.
| Name | Notes | inference.py config | ComfyUI workflow (Recommended) |
|---|---|---|---|
| ltxv-13b-0.9.8-dev | Highest quality, requires more VRAM | ltxv-13b-0.9.8-dev.yaml | ltxv-13b-i2v-base.json |
| ltxv-13b-0.9.8-mix | Mix ltxv-13b-dev and ltxv-13b-distilled in the same multi-scale rendering workflow for balanced speed-quality | N/A | ltxv-13b-i2v-mixed-multiscale.json |
| ltxv-13b-0.9.8-distilled | Faster, less VRAM usage, slight quality reduction compared to 13b. Ideal for rapid iterations | ltxv-13b-0.9.8-distilled.yaml | ltxv-13b-dist-i2v-base.json |
| ltxv-2b-0.9.8-distilled | Smaller model, slight quality reduction compared to 13b distilled. Ideal for light VRAM usage | ltxv-2b-0.9.8-distilled.yaml | N/A |
| ltxv-13b-0.9.8-fp8 | Quantized version of ltxv-13b | ltxv-13b-0.9.8-dev-fp8.yaml | ltxv-13b-i2v-base-fp8.json |
| ltxv-13b-0.9.8-distilled-fp8 | Quantized version of ltxv-13b-distilled | ltxv-13b-0.9.8-distilled-fp8.yaml | ltxv-13b-dist-i2v-base-fp8.json |
| ltxv-2b-0.9.8-distilled-fp8 | Quantized version of ltxv-2b-distilled | ltxv-2b-0.9.8-distilled-fp8.yaml | N/A |
| ltxv-2b-0.9.6 | Good quality, lower VRAM requirement than ltxv-13b | ltxv-2b-0.9.6-dev.yaml | ltxvideo-i2v.json |
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys vid for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (vid 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":"vid","prompt":"a drone shot over a forest"}'
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.