---
library_name: diffusers
pipeline_tag: image-to-video
tags:
  - arxiv:2609.24984
  - worldcrafter
  - text-to-video
  - camera-control
---

# WorldCrafter-Base

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:

```bash
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.

## Paper and Resources

- **Paper:** [WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory](https://arxiv.org/abs/2609.24984)
- **Project page:** https://drexubery.github.io/WorldCrafter
- **Code:** https://github.com/TencentARC/WorldCrafter