Instructions to use VLA-RFT/WorldModel-Tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VLA-RFT/WorldModel-Tokenizer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("VLA-RFT/WorldModel-Tokenizer", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ac3d81f3f51be1f556a8bcee7b06be25a4b301a886ebe3b38863ff1248bae71
- Size of remote file:
- 515 MB
- SHA256:
- a756c0eab2b438cf75981502922ac034a98e83cf7c31e5af14ea1bf4787fc48a
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