Instructions to use Muapi/halftone-glitch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/halftone-glitch 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/halftone-glitch") 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/halftone-glitch: direct link, hf CLI and curl.
- Browser
- Download file 158 kB
-
https://huggingface.co/Muapi/halftone-glitch/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/halftone-glitch/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/halftone-glitch/resolve/main/preview.jpg
158 kB

- Xet hash:
- 525b66cb92902641462dc9f2fbfabe649317fa8fa6a4e2c9917c0a90603281dc
- Size of remote file:
- 158 kB
- SHA256:
- 4879d4837d7e182b3ebddc3c6d9cfd26bad9d03a19024417c9bbc6e4da077a54
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