Nerogar/OneTrainer

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3184 stars · 322 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OneTrainer is a GUI and CLI application for fine-tuning diffusion image models, supporting full fine-tuning, LoRA, and embeddings across many model families like Stable Diffusion, SDXL, and FLUX. It includes dataset tooling, masked training, aspect ratio bucketing, automatic backups, and a built-in sampling UI.

Use cases

• train a lora for stable diffusion
• fine-tune flux.1 on my own images
• create embeddings for sdxl
• caption an image dataset automatically with blip
• train a diffusion model with masked regions
• convert diffusion model checkpoints to diffusers format
• sample images during training without leaving the app

When to choose

• you want a GUI-driven workflow for training diffusion models
• you need LoRA, embedding, or full fine-tuning support across many model architectures
• you want built-in dataset captioning, masking, and augmentation
• you want automatic backups and resumable training

When to avoid

• you need to train LLMs or non-diffusion models
• you prefer writing your own training scripts with raw PyTorch
• you need distributed multi-node training at scale

Facets

application · maturity active

machine-learning llm-training image-processing data-science gui machine-learning deep-learning image-processing artificial-intelligence windows python diffusion-models lora-training fine-tuning stable-diffusion flux sdxl text-to-image model-training tensorboard linux macos gpu desktop

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markdown · JSON · MCP: product_card(name="Nerogar/OneTrainer")