Instructions to use milpu02/EDY3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use milpu02/EDY3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/ntr-mix-illustrious-xl-noob-xl-xiii-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("milpu02/EDY3") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
EDY3

- Prompt
- -
Trigger words
You should use milpuMIX to trigger the image generation.
You should use kurisu to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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