Model reference · open weights
WorldCrafter is an open-weight video model from TencentARC. 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 | TencentARC |
|---|---|
| Type | Video models |
| Task | Image→video |
| Parameters (lead) | 14.3B |
| Runs with | diffusers |
| Released | 2026-09-21 |
| Popularity | 0 downloads / month |
| Licence | Unknown |
About
Base transformer weights and their matching camera adapter and LoRA for the WorldCrafter inference code.
Place this directory beside WorldCrafter-Fast. Base reads the following shared folders from Fast: repencoder/, text_encoder/, tokenizer/, vae/, and scheduler/. Base does not need Fast's transformer or adapter folders. The relative path is configured in inference_config.json.
From the code repository root:
python inference.py --model-type base --model-path weights/WorldCrafter-Base --output-path outputs/base.mp4
Keep the Base-specific transformer/ and adapter/ together. SHA256SUMS covers the packaged Base files; shared component hashes are recorded in Fast's package.
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys worldcrafter for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (worldcrafter 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":"worldcrafter","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.