Instructions to use EnD-Diffusers/lineart-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/lineart-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/lineart-model", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "mchozn" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
03de502
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Parent(s): a0e0b48
Update README.md
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README.md
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@@ -22,12 +22,4 @@ What you still can't do: Sell the model, use it to make nasty things.
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What's the copyright on this: It's my own art, thought some of it's fan art on a whime, it's probably crap - so i guess go ahead with the selling of generated images at your own risk?
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Training Data pictures of:
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mchozn (use that on your prompt)
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What's the copyright on this: It's my own art, thought some of it's fan art on a whime, it's probably crap - so i guess go ahead with the selling of generated images at your own risk?
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mchozn (use that on your prompt)
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