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--example001.npz from easylearning/RoboImagine: direct link, hf CLI and curl.
- Browser
- Download file 4.7 MB
-
https://huggingface.co/easylearning/RoboImagine/resolve/main/rt1--example001.npz
- Command line
-
hf download hf://easylearning/RoboImagine/rt1--example001.npz
-
curl -L -o rt1--example001.npz https://huggingface.co/easylearning/RoboImagine/resolve/main/rt1--example001.npz
4.7 MB
- Xet hash:
- 2ba55c2a4f1d2324e0c5fb1e0746c47a5bb44dbb36f05d858fc20c976824bae2
- Size of remote file:
- 4.7 MB
- SHA256:
- 82ad2dff156f5760a029ce7d614d3417fe95706c81aab970358d6350b678cdf3
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