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 rt1/training_recipe.json from easylearning/FutureWorlds: direct link, hf CLI and curl.
- Browser
- Download file 385 Bytes
-
https://huggingface.co/easylearning/FutureWorlds/resolve/main/rt1/training_recipe.json
- Command line
-
hf download hf://easylearning/FutureWorlds/rt1/training_recipe.json
-
curl -L -o training_recipe.json https://huggingface.co/easylearning/FutureWorlds/resolve/main/rt1/training_recipe.json
385 Bytes
| { | |
| "seed": 20260915, | |
| "sft_steps": 50000, | |
| "sft_global_batch": 64, | |
| "core_lr": 1e-05, | |
| "adapter_lr": 0.0001, | |
| "warmup_steps": 500, | |
| "rl_steps": 500, | |
| "rl_lr": 1e-06, | |
| "kl_coef": 0.001, | |
| "clip": 0.2, | |
| "horizon": 10, | |
| "groups": 4, | |
| "beams_per_group": 2, | |
| "diversity_penalty": 0.1, | |
| "max_text_tokens": 64, | |
| "text_layers": [ | |
| 3, | |
| 7, | |
| 11 | |
| ], | |
| "text_inner": 256 | |
| } | |