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Local AI image-generation server for MangaREADME Generator. Powered by Diffusers.

Project description

manga-readme

Local AI image-generation server for MangaREADME Generator.

Powered by HuggingFace Diffusers. Exposes an A1111-compatible REST API so the MangaREADME frontend connects with zero extra configuration.

Quick Start

pip install manga-readme
manga-readme serve

The server starts on http://127.0.0.1:7860 by default. Open the MangaREADME frontend and select Local Server (manga-readme) as the provider.

Models

Pre-configured models (downloaded on first use):

Alias Architecture Resolution Repo
dreamshaper-8 SD 1.5 512x512 Lykon/dreamshaper-8
sdxl SDXL 1024x1024 stabilityai/stable-diffusion-xl-base-1.0
sd15 SD 1.5 512x512 runwayml/stable-diffusion-v1-5
sd21 SD 2.1 768x768 stabilityai/stable-diffusion-2-1
animagine-xl SDXL 1024x1024 cagliostrolab/animagine-xl-3.1
realistic-vision SD 1.5 512x512 SG161222/Realistic_Vision_V5.1_noVAE
absolute-reality SD 1.5 512x512 digiplay/AbsoluteReality_v1.8.1
manga-readme serve --model sdxl
manga-readme serve --model Lykon/dreamshaper-8
manga-readme list-models

LoRA Support

Place .safetensors or .pt LoRA files in a directory and point the server at it:

manga-readme serve --lora-dir ./my-loras

LoRAs are applied via prompt tags: <lora:name:0.7>. The frontend LoRA picker sends these tags automatically.

GPU

A CUDA GPU with 6 GB+ VRAM is recommended. For CUDA support, install PyTorch with the correct CUDA version before installing manga-readme:

pip install torch --index-url https://download.pytorch.org/whl/cu121
pip install manga-readme

CPU inference works but is very slow.

License

MIT

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