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--expected001.npz from easylearning/RoboImagine: direct link, hf CLI and curl.
- Browser
- Download file 28.1 MB
-
https://huggingface.co/easylearning/RoboImagine/resolve/main/rt1--expected001.npz
- Command line
-
hf download hf://easylearning/RoboImagine/rt1--expected001.npz
-
curl -L -o rt1--expected001.npz https://huggingface.co/easylearning/RoboImagine/resolve/main/rt1--expected001.npz
28.1 MB
- Xet hash:
- 9304b910c85a400c6b3dede13f012da716cf32d85d1c49c6c50093586d86c595
- Size of remote file:
- 28.1 MB
- SHA256:
- a00f0987033659d3f529edbe61f772e2515e915f3a19c5b143c0bafb808936ce
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