neggles/neurosis
a neural network trainer for weebs
This project helps machine learning engineers train Stable Diffusion models more transparently. It takes image datasets (with or without captions) and outputs trained diffusion models, making the complex training process easier to understand and debug. It's designed for those who build and fine-tune generative AI models.
Use this if you are a machine learning engineer or researcher who needs to train or fine-tune Stable Diffusion models and are frustrated by the complexity and opacity of existing training frameworks.
Not ideal if you are looking for a simple, plug-and-play solution for generating images without deep involvement in model training, or if you prefer highly stable and extensively documented tools.
Stars
14
Forks
1
Language
Python
License
—
Category
Last pushed
Mar 16, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/neggles/neurosis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
leejet/stable-diffusion.cpp
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++
xlite-dev/lite.ai.toolkit
🛠A lite C++ AI toolkit: 100+ models with MNN, ORT and TRT, including Det, Seg, Stable-Diffusion,...
MochiDiffusion/MochiDiffusion
Run Stable Diffusion on Mac natively
ssube/onnx-web
web UI for GPU-accelerated ONNX pipelines like Stable Diffusion, even on Windows and AMD
xororz/local-dream
Run Stable Diffusion on Android Devices with Snapdragon NPU acceleration. Also supports CPU/GPU...