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", dtype=torch.bfloat16, device_map="cuda") prompt = "mchozn" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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@@ -12,7 +12,15 @@ You run your new concept via `diffusers` [Colab Notebook for Inference](https://
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Testing to happen asap, just did this on the fly for kicks.
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Testing to happen asap, just did this on the fly for kicks.
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DO NOT: RESELL THE TRAINING DATA
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Why? Cause my art is crap. and you should feel bad XD
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What you can do:
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Merge this model, host this model
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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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