Back to directory

SD.Next

An open-source, all-in-one WebUI for AI image and video generation, captioning and processing, built on Stable Diffusion and supporting dozens of models.

SD.Next

SD.Next is an open-source server application and web interface for AI image and video generation, built on Stable Diffusion and supporting dozens of advanced diffusion models, letting a user create, refine, caption, upscale and process images and videos in one cross-platform application.

It automatically downloads a selected reference model, or detects and adds a user's own models, and includes SDNQ, a quantization engine that runs pre-quantized models or quantizes on the fly for up to a fourfold reduction in VRAM with little or no quality or performance impact. A "Balanced Offload" feature dynamically balances CPU and GPU memory to run larger models on limited hardware, and captioning and enhancement draw on more than 25 built-in LLM and vision-language models, OpenCLIP models, and taggers such as WaifuDiffusion and DeepDanbooru.

It supports text-to-image, image-to-image, text-to-video and image-to-video generation, editing workflows such as detailing, hi-res refine, inpainting and outpainting, guidance tools such as LoRA and ControlNet, is localized into about 15 languages with multiple UI themes, offers desktop and mobile interfaces, and installs with an automatic-update installer.

More in Generative media

See all 146
  • Blender Copilot

    github.com

    A Copilot-style AI chat panel inside Blender that runs its agent loop in Blender's own Python process, executes the model's generated code against the live scene, and wraps every conversational turn in a single undo step.

  • A ComfyUI add-on that patches ComfyUI-GGUF so Qwen-Image-2.1 models can run fully as GGUF files, fixing a text-encoder mismatch and missing architecture detection until upstream support arrives.

  • A ComfyUI node that expands a short prompt into a full styled prompt, negative prompt and aspect ratio for Qwen-Image-2.1, using one of 17 photographic styles.