Instructions to use Muapi/fingering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/fingering with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/fingering") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- f0a3ba2e2830ee3933a7038ec878629a881e1a6f9437edc9db8fe30b4f584db2
- Size of remote file:
- 4.2 MB
- SHA256:
- 9af9f614dffb9cd74bb3962f2b1b917f7f0a35df0aeb01ececce0e7a3ba2b1f5
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