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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
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