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/training_recipe.json from easylearning/FutureWorlds: direct link, hf CLI and curl.
- Browser
- Download file 128 Bytes
-
https://huggingface.co/easylearning/FutureWorlds/resolve/main/bridge/training_recipe.json
- Command line
-
hf download hf://easylearning/FutureWorlds/bridge/training_recipe.json
-
curl -L -o training_recipe.json https://huggingface.co/easylearning/FutureWorlds/resolve/main/bridge/training_recipe.json
128 Bytes
| { | |
| "horizon": 10, | |
| "group": 4, | |
| "seed": 20260915, | |
| "lr": 1e-06, | |
| "kl_coef": 0.001, | |
| "clip": 0.2, | |
| "max_grad_norm": 1.0 | |
| } | |