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--example001.npz from easylearning/RoboImagine: direct link, hf CLI and curl.
- Browser
- Download file 3.35 MB
-
https://huggingface.co/easylearning/RoboImagine/resolve/main/robocasa--example001.npz
- Command line
-
hf download hf://easylearning/RoboImagine/robocasa--example001.npz
-
curl -L -o robocasa--example001.npz https://huggingface.co/easylearning/RoboImagine/resolve/main/robocasa--example001.npz
3.35 MB
- Xet hash:
- 01f3d665cd7c356233c789393a5aa92e56807b64bf33a99c5022340566377dc6
- Size of remote file:
- 3.35 MB
- SHA256:
- 5c0097eb4e8d45587af47f3343985d4a2cd51867bc91524022ad16fe43140ad2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.