Instructions to use SUPER321/my-animestyle-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- Notebooks
- Google Colab
- Kaggle
Anime Style LoRA (SDXL)
A LoRA trained on anime style images for SDXL 1.0.
Trigger Word
animestyle
Short Description
This LoRA is trained on a curated dataset of high-quality anime-style images and is designed specifically for SDXL 1.0. The model enhances anime aesthetics while preserving the powerful composition, lighting, and detail generation capabilities of the SDXL base model. Features High-quality anime character generation Vibrant colors and expressive artwork Improved facial details and anime-style proportions Supports a wide range of anime-inspired art styles Compatible with SDXL 1.0 checkpoints Works well for character illustrations, portraits, and fantasy scenes Recommended Settings Base Model: SDXL 1.0 LoRA Weight: 0.7 – 1.0 Sampler: DPM++ 2M Karras / Euler A Steps: 25–40 CFG Scale: 5–8
Sample Outputs
Usage
AUTOMATIC1111
Place pytorch_lora_weights.safetensors in models/Lora/ and use:
Model tree for SUPER321/my-animestyle-lora
Base model
stabilityai/stable-diffusion-xl-base-1.0
