Instructions to use Ava2000/Gnsisir_Illustrious with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ava2000/Gnsisir_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/Gnsisir_Illustrious") prompt = "masterpiece, best quality, flat color," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 771 Bytes
6cbeed2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | LoRA Usage Disclaimer
This LoRA model is provided as-is for non-commercial use only.
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.
Prohibited Uses:
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Integration into paid services or products
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Permitted Uses:
Personal, non-commercial projects
Educational purposes
Community sharing and modification (under same restrictions)
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