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--expected000.npz from easylearning/RoboImagine: direct link, hf CLI and curl.
- Browser
- Download file 28.2 MB
-
https://huggingface.co/easylearning/RoboImagine/resolve/main/rt1--expected000.npz
- Command line
-
hf download hf://easylearning/RoboImagine/rt1--expected000.npz
-
curl -L -o rt1--expected000.npz https://huggingface.co/easylearning/RoboImagine/resolve/main/rt1--expected000.npz
28.2 MB
- Xet hash:
- 1a530f5784b3dd7e1156073d7cfdc40bcc48d9c36790ca980d3e90e8c7e8efb3
- Size of remote file:
- 28.2 MB
- SHA256:
- 37df6dcdab76c4b5646efcec9149d5429d247a7285eaee626ead1c7254361e02
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