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--expected001.npz from easylearning/RoboImagine: direct link, hf CLI and curl.
- Browser
- Download file 27.3 MB
-
https://huggingface.co/easylearning/RoboImagine/resolve/main/robocasa--expected001.npz
- Command line
-
hf download hf://easylearning/RoboImagine/robocasa--expected001.npz
-
curl -L -o robocasa--expected001.npz https://huggingface.co/easylearning/RoboImagine/resolve/main/robocasa--expected001.npz
27.3 MB
- Xet hash:
- dcf2e6899f5de7ce02a16994d14be77fbf936e9184aba74fa37874f7b66fd859
- Size of remote file:
- 27.3 MB
- SHA256:
- 39727ad2d1d9affeaa51cc4e3e3498eefb35213a1b0947e9cecf7b25b2f14b1c
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