Instructions to use Muapi/lines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/lines 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/lines") 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/lines: direct link, hf CLI and curl.
- Browser
- Download file 250 kB
-
https://huggingface.co/Muapi/lines/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/lines/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/lines/resolve/main/preview.jpg
250 kB

- Xet hash:
- eb1ade251850f12becfd4149e8ac58e1a326b99ef495989f6aea21d416ba934e
- Size of remote file:
- 250 kB
- SHA256:
- 8d2b24d8708cd4e5d721e992241a06bdc15c8cd815053bc1044390a3d2df90f6
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