Instructions to use Ava2000/Maniacpaint_Illustrious with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ava2000/Maniacpaint_Illustrious with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("calcuis/illustrious", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ava2000/Maniacpaint_Illustrious") prompt = "masterpiece, best quality, traditional media, jaggy lines, sketch," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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- template:diffusion-lora
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widget:
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- output:
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url: images/00005-
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text: masterpiece, best quality, traditional media, jaggy lines, sketch,
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parameters:
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negative_prompt: >-
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url: images/00005-3527018534.png
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text: masterpiece, best quality, traditional media, jaggy lines, sketch,
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parameters:
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negative_prompt: >-
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