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--expected000.npz from easylearning/RoboImagine: direct link, hf CLI and curl.
- Browser
- Download file 26.7 MB
-
https://huggingface.co/easylearning/RoboImagine/resolve/main/robocasa--expected000.npz
- Command line
-
hf download hf://easylearning/RoboImagine/robocasa--expected000.npz
-
curl -L -o robocasa--expected000.npz https://huggingface.co/easylearning/RoboImagine/resolve/main/robocasa--expected000.npz
26.7 MB
- Xet hash:
- ed285a52f503094633ec41b9fec1a8810bd4b29a4904d57aebbedbd1fbefba5c
- Size of remote file:
- 26.7 MB
- SHA256:
- 5bcf326291cd000b7c896aa179010e5e5629afe0882d9cc33576960f222743be
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.