Instructions to use xzyhku/flux_hpsv2.1_dancegrpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xzyhku/flux_hpsv2.1_dancegrpo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xzyhku/flux_hpsv2.1_dancegrpo", 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
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Check out the documentation for more information.
The checkpoints for DanceGRPO+FLUX+HPSv2.1
Checkpoint-300-0 has a HPS score of 0.372, and checkpoint-ema-300-0 has better visualization results.
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