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
- Xet hash:
- e07ca6c69ff557c450e3efeae306f2a47af0837def81cc50710a2daf7f37ffe7
- Size of remote file:
- 418 MB
- SHA256:
- ef5e927f2c45087066993d5a7cc42abf7ecba36ae044637df32c2204e2099c91
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