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
File size: 134 Bytes
6150dcb | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a756c0eab2b438cf75981502922ac034a98e83cf7c31e5af14ea1bf4787fc48a
size 515228912
|