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Image & Video

Sdnext

SD.Next is an open-source web-based user interface designed for AI generative image and video creation, captioning, and processing. It is a fork of Automatic1111's Stable Diffusion WebUI and supports multiple diffusion models including Stable Diffusion XL, Stable Diffusion 3.x, and others. The platform offers multi-platform hardware acceleration with automatic detection and tuning for NVIDIA CUDA, AMD ROCm, Intel Arc, DirectML, OpenVINO, ONNX, and ZLUDA, enabling broad compatibility across Windows, Linux, and macOS systems. SD.Next includes built-in tools for text-to-image and video generation, batch processing, ControlNet, and model quantization, along with CLI and API support for scripting and automation.

Updated Feb 11, 2026open-source
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Overview

SD.Next is an open-source WebUI for AI generative image and video creation supporting multiple diffusion models and multi-platform hardware acceleration.

Pricing
open-source
Category
Image & Video
Company
Visual Guide
Interactive PresentationOpen Fullscreen ↗
Key Features
01
Supports multiple diffusion models with built-in downloaders for CivitAI and HuggingFace, including Stable Diffusion XL, Stable Diffusion 3.x, Stable Cascade, FLUX.1, HiDream, and LCM.
02
Automatic detection and tuning for NVIDIA CUDA, AMD ROCm, Intel Arc/IPEX XPU, DirectML, OpenVINO, ONNX+Olive, and ZLUDA across Windows, Linux, and macOS.
03
Includes tools for text/image/batch/video processing, ControlNet, Detailer, styles, wildcards, outpainting, and reprocessing workflows.
04
Provides command-line interface tools and APIs for image preprocessing, visual question answering, text-to-image generation, benchmarking, and model conversion.
05
Supports model quantization methods (SDNQ, BitsAndBytes, Optimum-Quanto, TorchAO) and compile backends (Triton, StableFast, DeepCache, OneDiff, TeaCache) for performance tuning.
06
Offers full localization in 10 languages and multiple user interface modes including Standard and Modern.
Real-World Use Cases

AI Image and Video Generation

Users can generate images and videos from text prompts using various Stable Diffusion models with hardware acceleration.

Batch Processing and Automation

Developers and AI enthusiasts can automate workflows using CLI tools and APIs for preprocessing, generation, and benchmarking.

Quick Start
1
Clone Repository
Clone or download the SD.Next repository from GitHub at https://github.com/vladmandic/sdnext.
2
Run Installation Script
Execute the installation script to auto-detect hardware and install dependencies like Torch.
3
Download Models
Use the built-in reference model list to auto-download and configure supported diffusion models on first use.
4
Launch WebUI
Start the WebUI and select between Standard or Modern UI modes to begin generating images or videos.
5
Consult Wiki Guides
Refer to the GitHub wiki for detailed guides on ControlNet, Detailer, styles, and CLI tools.
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Pricing
Model: open-source

SD.Next is free and open-source with no paid plans.

Assessment
Strengths
  • Supports multiple diffusion models with built-in downloaders for popular model repositories.
  • Automatic hardware detection and tuning across a wide range of platforms and accelerators.
  • Includes CLI and API tools for scripting and automation.
  • Full localization in 10 languages and multiple UI modes.
  • Active development with frequent updates.
Limitations
  • Documentation is spread across GitHub wiki and changelog pages requiring navigation through multiple sources.
  • Dependent on external model downloads and hardware-specific setups such as ROCm or ZLUDA.
Alternatives
Automatic1111 Stable Diffusion WebUI→Stability Matrix→