Instructions to use jeremytai/techlinedrawing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jeremytai/techlinedrawing 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("jeremytai/techlinedrawing") prompt = "techlinedrawing, 70s era bicycle" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Add generated example
Verified signatureGenerated example for model jeremytai/patent-illustration. Prompt: patentillustration, drawn image, hd illustration, illustrations, in detail, line-drawing, clean ink detailed line drawing, portrait c 12.0, portrait c 1 2. 0, line art, fine portrait, hand drawn, aerodynamic frame, detailed line art, detailed line drawingdb87b8f -
Add generated example (#1)
Verified signature- Add generated example (719f5367c4f9cf079257922421c7e81c6c956be6)f945aab -
Update README.md
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Add patent-illustration.safetensors
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initial commit
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