Instructions to use Muapi/masturbation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/masturbation 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/masturbation") 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:
- 777e8758be57e9e6e7853e3eee7827eaf3cd434dc67b3432f2de1c530e94a76d
- Size of remote file:
- 277 kB
- SHA256:
- b69d4d91595fc32def3e510cdd4940b7b0dd11bb24aefbac08ac71d0c24d673e
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