Instructions to use Muapi/pantyshot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/pantyshot 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/pantyshot") 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:
- 0e1ca4c75fe24849540cf56ef52caac6d41d1f680baa2ff68e6d350da25a991e
- Size of remote file:
- 927 kB
- SHA256:
- ed9654edee1cfabd7d05917b24ab874056d2bc9a81baaa43f7f35cc07443ed3a
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