txt2img

Forge Grid Sampler Scheduler is a modular Python script for generating structured image grids with labeled cells. It supports dynamic layout scheduling, custom label placement, fallback rendering, and PNG/WEBP export. Ideal for visual organization, presentation, and image pipeline workflows.

A Low-Rank Adaptation of a pretrained Stable Diffusion model that generates background scenery. Trained with PyTorch, and deployed with AWS EC2 and Ngrok.

AI、aigc、stable diffusion、vue、vue3、naive ui

Aurora: Let the magic begin!

Imaging tools CLI for preprocessing datasets before model training.

MCP server for Stable Diffusion WebUI Forge Neo — generate images on your own GPU from any MCP-capable agent. Reads the loaded checkpoint, infers sampling parameters and prompt style from your settings and past generations, and writes the prompt.

Local Stable Diffusion XL Docker API — txt2img + img2img, dynamic LoRAs/VAE, optional refiner, bilingual web UI. Generates concept art for KOLONEX (feeds the TRELLIS image->3D pipeline).

Menjalankan Stable Diffusion Forge Neo digoogle colab

Simple script for using Stable Diffusion XL text-to-image on AWS Bedrock

Create images from text using sd.cpp on the Jetson Nano 4GB

🎨 Generate high-quality images with the Qwen-Image model, a powerful text-to-image tool optimized for fast and efficient deployment on serverless architecture.

Stable Diffusion inference in Gradio

Its a web app with sends post request using the api of stable while also building a html page

Fastest Stable Diffusion GUI, Pipeline, with only one python script, with the least number of lines and in the least complex way.

Two-pass (split-sampling) ComfyUI workflow for Krea2 + Realism + Engineer v2 — fast low-res first pass, eyeball it, then run the 4K second pass only on images you actually like.

Docker image for InvokeAI: Professional Creative AI Tools for Visual Media

An AUTOMATIC1111 extension allowing users to use SUPIR upscaling in StableDiffusion.

A curated list of Generative AI tools, works, models, and references

Stable Diffusion web UI

Ready to use Core ML VAEs in MLMODELC format