vladmandic/sdnext

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

7320 stars · 579 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

SD.Next is an open-source, self-hosted WebUI server application for AI generative image and video creation built on Stable Diffusion and Diffusers. It supports dozens of diffusion models with features like on-the-fly quantization, CPU/GPU memory balancing, captioning with LLM/VLM models, and image processing tools.

Use cases

• generate images with stable diffusion models
• generate ai videos from text prompts
• caption images automatically with vision language models
• upscale and enhance ai-generated images
• run large diffusion models on limited vram with quantization
• self-host an ai art generation web interface
• interrogate and tag images with models like deepdanbooru

When to choose

• you want a feature-rich self-hosted WebUI for stable diffusion image and video generation
• you need to run diffusion models on limited VRAM via quantization and offloading
• you want built-in captioning, tagging, and image processing alongside generation
• you need cross-platform support including AMD, Intel, and Apple GPUs

When to avoid

• you need a lightweight programmatic library rather than a full web application
• you want a simple one-command image generator without a UI
• you only need text-only LLM inference without image generation

Facets

application · maturity active

image-processing machine-learning llm-inference ui-components self-hosted artificial-intelligence image-processing deep-learning media python cross-platform self-hosted stable-diffusion diffusers webui ai-art generative-art captioning upscaling pytorch model-quantization video web-server gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="vladmandic/sdnext")