Instructions to use Ava2000/Hassytant_Illustrious with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ava2000/Hassytant_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/Hassytant_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
Upload LoRA Usage Disclaimer
Browse files- LoRA Usage Disclaimer +21 -0
LoRA Usage Disclaimer
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LoRA Usage Disclaimer
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This LoRA model is provided as-is for non-commercial use only.
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Important: The user does not claim ownership of the training data used to create this LoRA. All data sourced from public repositories, existing models, or third-party sources retains its original licensing and ownership.
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Prohibited Uses:
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Commercial use of any kind
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Monetization (direct or indirect)
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Sale or distribution for profit
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Integration into paid services or products
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Use to generate content for commercial gain
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Permitted Uses:
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Personal, non-commercial projects
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Educational purposes
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Community sharing and modification (under same restrictions)
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By using this LoRA, you agree to these terms and acknowledge that any misuse is the responsibility of the user, not the creator.
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