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
| 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: | |
| Commercial use of any kind | |
| Monetization (direct or indirect) | |
| Sale or distribution for profit | |
| Integration into paid services or products | |
| Use to generate content for commercial gain | |
| Permitted Uses: | |
| Personal, non-commercial projects | |
| Educational purposes | |
| Community sharing and modification (under same restrictions) | |
| By using this LoRA, you agree to these terms and acknowledge that any misuse is the responsibility of the user, not the creator. | |