Instructions to use FireZealot/Aoi_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FireZealot/Aoi_LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("FireZealot/Aoi_LoRA") prompt = "portrait, woman, long hair, glasses, lora, <lora:aoi:1>, red hair" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Aoi

- Prompt
- portrait, woman, long hair, glasses, lora, <lora:aoi:1>, red hair
- Negative Prompt
- lowres, ((bad anatomy)), ((bad hands)), text, missing finger, extra digits, fewer digits, blurry, ((mutated hands and fingers)), (poorly drawn face), ((mutation)), ((deformed face)), (ugly), ((bad proportions)), ((extra limbs)), extra face, (double head), (extra head), ((extra feet)), monster, logo, cropped, worst quality, low quality, normal quality, long neck, humpbacked, ((jpeg artifacts)), loli, high heels, multiple angles
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for FireZealot/Aoi_LoRA
Base model
runwayml/stable-diffusion-v1-5