Popular GitHub Repositories for Schnell

Stable Diffusion and Flux in pure C/C++

This repository is designed to give apple silicon users a fast and easy way to generate images and music locally.

AstraPix is an AI image generation platform using advanced Replicate models for text-to-image and image editing, featuring OAuth/GitHub login and Razorpay-powered token payments for premium features.

Txt2Img | Img2Img | + Multiple LoRAs, All in one jupyter notebook for Flux.1 dev/schnell. Able to run on Google Colab Free Tier

Enhancing Face Realism / Epic Realism [ LoRA ]

DiffuGen is a powerful yet user-friendly interface for Stable Diffusion image generation models. Built on the Model Control Protocol (MCP), it provides a seamless way to interact with various Stable Diffusion models including Flux, SDXL, SD3, and SD1.5.

we explores the fascinating domain of text-to-image generation using the powerful capabilities of the Flux API. The objective is to transform textual descriptions into vivid and accurate visual representations, leveraging state-of-the-art artificial intelligence

MCP server enabling high-quality image generation via Together AI's Flux.1 Schnell model.

Multimodal Matrix chatbot using ollama, flux.1-schnell, kokoro, and whisper. Mirrored from https://sij.ai/sij/llux

Fast and intuitive image generator powered by Flux AI's Schnell model that brings your ideas to life in seconds.

使用Replicate Flux Schnell（一款快速图像生成工具）的MCP服务器来生成图片。

Run Flux on Fly GPUs

使用Cloudflare Workers平台开发的AI图片生成程序

The Private AI Setup Dream Guide for Demos automates the installation of the software needed for a local private AI setup, utilizing AI models (LLMs and diffusion models) for use cases such as general assistance, business ideas, coding, image generation, systems administration, marketing, planning, and more.

Flux Schnell diffusion transformer model fine tuning across hardware configurations

FluxPipeline is a prototype experimental project that provides a framework for working with the FLUX.1-schnell image generation model. This project is intended for educational and experimental purposes only.