SimpleTuner

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SimpleTuner is an open-source fine-tuning kit for image, video, and audio diffusion models. It offers a user-friendly web UI and supports multi-modal, multi-GPU training with advanced optimization techniques.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is SimpleTuner?

SimpleTuner is a comprehensive, open-source fine-tuning kit designed for image, video, and audio diffusion models. It prioritizes simplicity and code understandability, making it an ideal academic exercise and collaborative development platform. The tool features a user-friendly web UI, multi-modal and multi-GPU training capabilities, and advanced caching for faster training. It supports various model architectures, including Stable Diffusion XL, Stable Diffusion 3, and Flux, with integrations for DeepSpeed and FSDP2 for memory optimization. SimpleTuner also includes enterprise-grade features like worker orchestration, SSO integration, role-based access control, and a job queue with priorities, all available for free.

Best used for

Ideal for AI researchers and developers who need to fine-tune image, video, and audio diffusion models, manage distributed GPU workers, and optimize training on memory-constrained systems. Especially valuable for academic exercises and enterprise-level multi-user training platforms.

Common actions

fine-tune models

train AI models

manage GPU workers

optimize model training

"AI Agents"github copilotface swappingcollaborationopen-sourcelow-code/no-codeworkflowsautomated workflowdeepfake

Capabilities

Key features

Multi-modal training
Multi-GPU training
DeepSpeed/FSDP2 integration
User-friendly web UI
Worker orchestration
Role-based access control
Job queue with priorities

Target Audience

professor

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of diffusion models can SimpleTuner fine-tune?

SimpleTuner supports a wide range of image, video, and audio diffusion models, including Stable Diffusion XL, Stable Diffusion 3, Flux.1, Flux.2, PixArt Sigma, and many more. It provides consistent feature availability across these diverse architectures.

What are the hardware requirements for using SimpleTuner?

General requirements include NVIDIA RTX 3080+ (up to H200), AMD 7900 XTX 24GB+, or Apple M3 Max+ with 24GB+ unified memory. Memory guidelines vary by model size, with quantization significantly reducing requirements for smaller GPUs.

Does SimpleTuner offer multi-user and enterprise features?

Yes, SimpleTuner includes a complete multi-user training platform with enterprise-grade features such as worker orchestration, SSO integration, role-based access control, organizations & teams, job queues with priorities, and audit logging, all free and open source.

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Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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Also listed in

This tool also appears in

AI Agents & Automation › AI Frameworks & Infra Content & Design › Audio & Music Research & Education › Academic Research Content & Design › Video Generation Content & Design › Image Generation

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