#31 · Primary category： MLOps & Evaluation
ai-toolkit
The ultimate training toolkit for finetuning diffusion models
Project last updated：08/29/26
GitHub Stars
11.8K
Forks
1.5K
Contributors
29
License
MIT
Why we included this project
ai-toolkit bundles training support for a wide range of current image and video diffusion models, including FLUX, SDXL, Qwen-Image, and HiDream, into a single tool that runs on consumer-grade GPUs. That makes fine-tuning realistic for individual developers and small teams who don't have a cluster handy. You can drive it from a GUI or the CLI, so it works for both a first interactive experiment and a scripted, repeatable training run. If you want a custom LoRA or a full fine-tune, this gives you one coherent place to do it instead of wiring together separate scripts and configs yourself.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
unsloth
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, FLUX and more.
LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
langfuse
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
netron
Visualizer for neural network, deep learning and machine learning models