Instructions to use Muapi/soakingwetclothes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/soakingwetclothes with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/soakingwetclothes") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 8df2591a7ddeb800abd5d40ff61c2cff915c32350c20d29605712a7e3503c1b4
- Size of remote file:
- 376 kB
- SHA256:
- ab5503e4955b665751e3d572a41c9959d539a5885dac1598506aa9cd374fc273
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