Instructions to use Muapi/early-2000s-pornstar-makeup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/early-2000s-pornstar-makeup 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/early-2000s-pornstar-makeup") 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/early-2000s-pornstar-makeup: direct link, hf CLI and curl.
- Browser
- Download file 266 kB
-
https://huggingface.co/Muapi/early-2000s-pornstar-makeup/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/early-2000s-pornstar-makeup/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/early-2000s-pornstar-makeup/resolve/main/preview.jpg
266 kB

- Xet hash:
- f352d9129bb38ff68822aef9724e60435f1c3306242ce036ff03e7a4ab0d988b
- Size of remote file:
- 266 kB
- SHA256:
- 2042b8f3833b18aac3be39b975cca72f0f19b90cf678d1445c5913d41335e63f
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