Instructions to use Muapi/leg-lock with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/leg-lock 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/leg-lock") 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:
- b2c0d1993e225ee0db318ccd04d83b4f189f5c1a7254e12c1b91cca636ad7b88
- Size of remote file:
- 1.58 MB
- SHA256:
- 7a6594227fe6777ae94088ab30ec541358c0c783067ed2d082965144b0e79078
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