Instructions to use easylearning/FutureWorlds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use easylearning/FutureWorlds 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/FutureWorlds", 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 bridge/preprocessing/action_ranges.pth from easylearning/FutureWorlds: direct link, hf CLI and curl.
- Browser
- Download file 829 Bytes
-
https://huggingface.co/easylearning/FutureWorlds/resolve/main/bridge/preprocessing/action_ranges.pth
- Command line
-
hf download hf://easylearning/FutureWorlds/bridge/preprocessing/action_ranges.pth
-
curl -L -o action_ranges.pth https://huggingface.co/easylearning/FutureWorlds/resolve/main/bridge/preprocessing/action_ranges.pth
829 Bytes
- Xet hash:
- 18ce2eaaf67ad2de85243a05dbb5603c804e7de445ed3b7625585039c594e3a3
- Size of remote file:
- 829 Bytes
- SHA256:
- 4492b53758cea8b3d4cb01e01ddf32d9d4bf31095fb3ca768a2d3ff631be8b15
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