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 rt1--example000.npz from easylearning/RoboImagine: direct link, hf CLI and curl.
- Browser
- Download file 5.18 MB
-
https://huggingface.co/easylearning/RoboImagine/resolve/main/rt1--example000.npz
- Command line
-
hf download hf://easylearning/RoboImagine/rt1--example000.npz
-
curl -L -o rt1--example000.npz https://huggingface.co/easylearning/RoboImagine/resolve/main/rt1--example000.npz
5.18 MB
- Xet hash:
- 492d1d174530822ee207008c768880b4e79d4759de3a50d923a2a71bc5ed9a4b
- Size of remote file:
- 5.18 MB
- SHA256:
- 1388dcb35905077df69ead0a665f2a2c1217d13fa1c7712c2ab78a41ca215eff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.