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--codec--diffusion_pytorch_model.safetensors from easylearning/RoboImagine: direct link, hf CLI and curl.
- Browser
- Download file 518 MB
-
https://huggingface.co/easylearning/RoboImagine/resolve/main/robocasa--codec--diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://easylearning/RoboImagine/robocasa--codec--diffusion_pytorch_model.safetensors
-
curl -L -o robocasa--codec--diffusion_pytorch_model.safetensors https://huggingface.co/easylearning/RoboImagine/resolve/main/robocasa--codec--diffusion_pytorch_model.safetensors
518 MB
- Xet hash:
- 8077b1189dae1a1769d9314df68a348098b0f4326d77ce55b957d4a374c9d15b
- Size of remote file:
- 518 MB
- SHA256:
- 4ea6133eae9d3deba4fc546ac7d0cb318363d0d79372b29a8e7d1a753023b77d
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