vladmandic/sdnext

SD.Next: All-in-one WebUI for AI generative image and video creation, captioning and processing

What it solves

SD.Next is an all-in-one server application and web interface designed to make AI image and video generation accessible and powerful. It provides a unified platform for artists and researchers to create, refine, and process visual content using a wide variety of Stable Diffusion and other diffusion models without needing to write code.

How it works

It acts as a comprehensive WebUI that supports a broad range of hardware acceleration libraries (such as CUDA, ROCm, OpenVINO, and DirectML) and platforms (Windows, Linux, macOS). The system includes a built-in installer for dependency management and automatic model downloading, allowing users to select reference models and have them ready for use immediately.

Who it’s for

It is designed for artists, researchers, and AI enthusiasts who want a feature-rich, cross-platform environment for AI art generation.

Highlights

  • Broad Model Support: Supports dozens of advanced diffusion models and provides automatic downloading for reference models.
  • Memory Optimization: Features the SDNQ quantization engine for up to 4x VRAM reduction and Balanced Offload to dynamically balance CPU and GPU memory.
  • Curation and Enhancement: Includes over 25 built-in LLM and VLM models for captioning and enhancing prompts.
  • Versatile Workflows: Supports Text-to-Image, Image-to-Image, Text-to-Video, Image-to-Video, Inpainting, Outpainting, and upscaling.
  • Cross-Platform Compatibility: Optimized for nVidia, AMD, Intel Arc, Apple M1/M2, and CPU-only execution.

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  • Dispatch
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