Instructions to use thuml/rt1-frame-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thuml/rt1-frame-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("thuml/rt1-frame-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
Add pipeline tag, library_name and project page link
#1
by nielsr HF Staff - opened
This PR adds the appropriate pipeline tag, ensuring the model can be found at https://huggingface.co/models?pipeline_tag=robotics.
It also lists the appropriate library at the top right and adds a link to the project page.