Instructions to use easylearning/RoboImagine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use easylearning/RoboImagine with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("easylearning/RoboImagine", 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
Download robocasa--example000.npz from easylearning/RoboImagine: direct link, hf CLI and curl.
- Browser
- Download file 2.77 MB
-
https://huggingface.co/easylearning/RoboImagine/resolve/main/robocasa--example000.npz
- Command line
-
hf download hf://easylearning/RoboImagine/robocasa--example000.npz
-
curl -L -o robocasa--example000.npz https://huggingface.co/easylearning/RoboImagine/resolve/main/robocasa--example000.npz
2.77 MB
- Xet hash:
- c2dbd984e06bc83007afbe80b25a1cfe62a9eade0fef519c263d170801abbe57
- Size of remote file:
- 2.77 MB
- SHA256:
- 9a5e5605ebe1751ce23842fe492823a30fa70ca7106e4c49b1d4caa3587f8b96
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