Instructions to use AnyaAI15/AnyaLoRa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AnyaAI15/AnyaLoRa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AnyaAI15/AnyaLoRa") prompt = "<lora:anya_sdxl_lora:1.05>," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Anya

- Prompt
- <lora:anya_sdxl_lora:1.05>,
- Negative Prompt
- open mouth, teeth,
Model description
Character LoRA for Anya. Trained on realistic lifestyle, selfie, and casual environments. Designed for SDXL image generation.
Trigger words
You should use anya_lora to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for AnyaAI15/AnyaLoRa
Base model
stabilityai/stable-diffusion-xl-base-1.0