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
File size: 385 Bytes
baa2b36 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"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
}
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