Instructions to use Muapi/foreskin-insertion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/foreskin-insertion 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/foreskin-insertion") 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:
- 8f634ab498595bf4ab94ce967dcb6dd47b7ea57af538c5b469c633796aabf058
- Size of remote file:
- 1.1 MB
- SHA256:
- 8cb685487538894df834fa358d28a5385c62347be6d182c6161a9ab9e20a31d8
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