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
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tags:
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- robotic-manipulation
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- rt1
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See https://github.com/thuml/RLVR-World for examples for using this model.
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tags:
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- robotic-manipulation
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- rt1
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- tokenizer
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See https://github.com/thuml/RLVR-World for examples for using this model.
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