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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