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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
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    3. SD.Next
    SD.Next icon

    SD.Next

    Image
    Featured

    An open-source, all-in-one WebUI for AI image and video generation built on Stable Diffusion, supporting dozens of advanced models across multiple platforms and hardware.

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    At a Glance

    Pricing
    Open Source

    Fully free and open-source under Apache License 2.0. Self-hosted on your own hardware.

    Engagement

    Available On

    Windows
    macOS
    Linux
    Web
    API

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    ImageLocal InferenceVideo

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    Developer
    vladmandicvladmandic is an independent open-source developer building…

    Listed Jun 2026

    About SD.Next

    SD.Next is an open-source WebUI application for AI image and video generation, maintained by developer vladmandic on GitHub under the Apache License 2.0. It builds on the original Automatic1111 WebUI codebase and extends it with broad model support, cross-platform hardware compatibility, and unique performance features. The project is actively maintained, with the repository last pushed to in June 2026.

    What It Is

    SD.Next is a self-hosted, all-in-one web interface for running Stable Diffusion and other generative AI models locally. It targets artists, researchers, and AI enthusiasts who want a powerful, flexible image and video generation environment without relying on cloud services. Users install it on their own hardware and access it through a browser-based UI that works on both desktop and mobile.

    Supported Models and Hardware

    SD.Next supports a broad range of diffusion models documented in its model support pages. On the hardware side, it covers an unusually wide spectrum:

    • NVIDIA GPUs via CUDA on Windows and Linux
    • AMD GPUs via ROCm (Linux/Windows) and ZLUDA (Windows)
    • Intel Arc GPUs via OneAPI/IPEX XPU on Windows and Linux
    • Any CPU/GPU compatible with OpenVINO on Windows and Linux
    • DirectX-compatible GPUs on Windows via DirectML
    • Apple M1/M2 on macOS via PyTorch MPS
    • ONNX/Olive runtime support
    • Docker container recipes for CUDA, ROCm, Intel IPEX, and OpenVINO

    Unique Technical Features

    SD.Next ships several capabilities the README describes as not found in other WebUIs:

    • SDNQ: A state-of-the-art quantization engine that supports pre-quantized models or on-the-fly quantization, claiming up to 4x VRAM reduction with minimal quality or performance impact
    • Balanced Offload: Dynamically balances CPU and GPU memory to run larger models on limited hardware
    • Captioning: Supports 150+ OpenCLIP models, WaifuDiffusion and DeepDanbooru taggers, and 25+ built-in VLMs
    • Image Processing: A full color-grading and image correction suite built into the interface
    • Localization into approximately 15 languages with support for multiple UI themes

    Setup Path

    SD.Next uses a built-in installer with automatic updates and dependency management. The quick-start path is a git clone followed by running webui.sh (Linux/Mac), webui.bat (Windows), or webui.ps1 (PowerShell). Platform-specific guides cover WSL, Intel Arc, DirectML, OpenVINO, ONNX/Olive, ZLUDA, AMD ROCm, macOS, NVIDIA, and Docker deployments. An install walkthrough video is linked from the README.

    Project Status and Community

    The repository was created in December 2022 and shows active development, with the last commit pushed in June 2026. The project has accumulated over 7,100 GitHub stars and 562 forks. Community support runs through a Discord server and GitHub Issues and Discussions. Documentation is hosted separately at the project's GitHub Pages docs site, and a DeepWiki badge indicates third-party documentation indexing.

    SD.Next - 1

    Community Discussions

    Be the first to start a conversation about SD.Next

    Share your experience with SD.Next, ask questions, or help others learn from your insights.

    Pricing

    OPEN SOURCE

    Open Source

    Fully free and open-source under Apache License 2.0. Self-hosted on your own hardware.

    • AI image generation
    • AI video generation
    • Multi-model support
    • SDNQ quantization
    • Balanced offload

    Capabilities

    Key Features

    • AI image generation
    • AI video generation
    • Stable Diffusion support
    • Multi-model support
    • SDNQ quantization engine
    • Balanced CPU/GPU offload
    • Image captioning (150+ OpenCLIP models)
    • WaifuDiffusion and DeepDanbooru tagging
    • 25+ built-in VLMs
    • Image processing and color-grading suite
    • Desktop and mobile UI
    • ~15 language localizations
    • Multiple UI themes
    • Built-in installer with auto-updates
    • Docker support
    • NVIDIA CUDA support
    • AMD ROCm support
    • Intel Arc/OneAPI support
    • OpenVINO support
    • DirectML support
    • Apple M1/M2 MPS support
    • ONNX/Olive runtime support

    Integrations

    Stable Diffusion
    Diffusers
    PyTorch
    CUDA
    ROCm
    ZLUDA
    OneAPI/IPEX XPU
    OpenVINO
    DirectML
    Apple MPS
    ONNX/Olive
    Docker
    OpenCLIP
    WaifuDiffusion
    DeepDanbooru
    API Available
    View Docs

    Demo Video

    SD.Next Demo Video
    Watch on YouTube

    Reviews & Ratings

    No ratings yet

    Be the first to rate SD.Next and help others make informed decisions.

    Developer

    vladmandic

    vladmandic is an independent open-source developer building SD.Next, a powerful all-in-one WebUI for AI image and video generation. The project extends the Automatic1111 Stable Diffusion WebUI with advanced quantization, broad hardware support, and unique captioning and processing features. SD.Next is licensed under Apache 2.0 and actively maintained on GitHub with a growing community on Discord.

    Read more about vladmandic
    WebsiteGitHub
    1 tool in directory

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