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
Add generated example
#3
by jeremytai - opened
- README.md +7 -0
- images/example_lpr6blmjb.png +0 -0
README.md
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art, detailed line drawing
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output:
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url: images/example_91sd18y60.png
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---
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# patent illustration
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art, detailed line drawing
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output:
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url: images/example_91sd18y60.png
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- text: >-
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patentillustration, puffy jacket, drawn image, hd illustration,
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illustrations, in detail, line-drawing, clean ink detailed line drawing,
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portrait c 12.0, portrait c 1 2. 0, line art, fine portrait, hand drawn,
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aerodynamic frame, detailed line art, detailed line drawing
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output:
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url: images/example_lpr6blmjb.png
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---
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# patent illustration
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images/example_lpr6blmjb.png
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