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SimpleTuner
SimpleTuner is an open-source training toolkit that fine-tunes image, video, and audio diffusion models.
SimpleTuner is a general fine-tuning kit geared toward image, video, and audio diffusion models with a focus on simplicity and ease of understanding. It provides comprehensive training support across multiple diffusion model architectures like Flux, Stable Diffusion, and Wan Video. The platform includes a user-friendly web UI, multi-GPU training, advanced caching, and DeepSpeed or FSDP2 integration for memory-constrained systems. It is designed for researchers, developers, and enterprises needing distributed worker orchestration, SSO integration, role-based access control, and granular quotas. It stands out by offering a complete multi-user training platform alongside recent training techniques like TREAD, masked loss training, and prior regularization.
SimpleTuner at a glance
- Best for: Software engineer, Designer
- Runs on: CLI, self-hosted, open source
- Pricing: Free and open source
- Released: May 2023
- Category: AI image tool
- Website: github.com/bghira/SimpleTuner
Key features
- User-friendly web dashboard
- Multi-modal training for Image, Video, and Audio
- Multi-GPU distributed training
- DeepSpeed and FSDP2 integration
- Advanced caching for embeddings
- Worker orchestration for distributed GPUs
- SSO integration and role-based access control
Use it for
- Fine-tuning image and video diffusion models
- Training custom LoRA and LyCORIS models
- Managing multi-user enterprise GPU clusters
- Running distributed multi-node training jobs
Alternatives to SimpleTuner
- OneTrainer — Supports a wide range of diffusion models and training methods in one interface.
- KohakuMossTrainer — Fits adapter training onto cards with 6 GB of VRAM.
- Easy Diffusion — Hassle-free 1-click installation with no technical knowledge required.
- Finetuning With Sampling — Official implementation of the Finetuning with Sampling research paper from Harvard.
- XTuner — High-efficiency training for 200B+ scale MoE models without expert parallelism.
- Diffusers — A modular toolbox for inference and training of diffusion models.
- Soup — Fine-tune and align models like Llama-3.1-8B on a 4 GB laptop GPU.
- stable-diffusion.cpp — Runs diffusion models efficiently in pure C and C++ with no external dependencies.
- Krea — Every major image and video model plus a 21K enhancer in one tool
- LyCORIS — It provides diverse algorithms like LoHa, LoKr, and DyLoRA for Stable Diffusion fine-tuning.
- Flux — Runs via API or as open weights on your own infrastructure.
- DiffusionBee — Runs generative artificial intelligence locally without cloud uploads.
All SimpleTuner alternatives