Instructions to use Muapi/line-design with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/line-design 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/line-design") 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

- Xet hash:
- fff0022643a99edf4d97140a1dce3f9ceaf84c238fb7a43a4c17f191fa8bb6a6
- Size of remote file:
- 1.17 MB
- SHA256:
- b6aee6e77cbc102dd35dce8a534f05e3f81be5b203d8c434d6eecc9691e57739
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