Instructions to use Muapi/skintastic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/skintastic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/skintastic") 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
Download preview.jpg from Muapi/skintastic: direct link, hf CLI and curl.
- Browser
- Download file 102 kB
-
https://huggingface.co/Muapi/skintastic/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/skintastic/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/skintastic/resolve/main/preview.jpg
102 kB

- Xet hash:
- 2a1bfc265a2d71d51da7678bf8bd6dfecf5c310ec9c886d38af2ab3bdad22dc8
- Size of remote file:
- 102 kB
- SHA256:
- 99f7b6fb8fd919d1818268f2ae3888a36fcb6867a6818ecd5da73ba6be3376d5
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