Instructions to use Muapi/hooker-chic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/hooker-chic 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/hooker-chic") 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/hooker-chic: direct link, hf CLI and curl.
- Browser
- Download file 115 kB
-
https://huggingface.co/Muapi/hooker-chic/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/hooker-chic/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/hooker-chic/resolve/main/preview.jpg
115 kB

- Xet hash:
- 28bf3b40da6995c5134bf4bdf059d9004d7c971db4d3f2b274cddaf6e13d1bb6
- Size of remote file:
- 115 kB
- SHA256:
- 58ec3d1a5c6b394f89ee0609be50b6b028183b278f4166a11785998ddbb8680c
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