Instructions to use Muapi/anal-tail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/anal-tail 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/anal-tail") 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:
- cb187c78b876ea3d4af9656bd263d925f824cb3af42ab3b5116b33a137a1e371
- Size of remote file:
- 1.96 MB
- SHA256:
- da60a098bb327e16c46f3d2f59705c9ac6351011cd9be57544ab376bd0d71b9b
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