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joycaption

Here are 13 public repositories matching this topic...

Free local LoRA training studio: build character, style and concept datasets from one photo or a big image folder, caption them (JoyCaption, prose or booru tags), train LoRAs with ai-toolkit for Krea 2, FLUX.1, FLUX.2 Klein, Qwen-Image 2.1, Z-Image, SDXL and Anima, then compare checkpoints side by side. ComfyUI-powered, self-hosted.

  • Updated Nov 7, 2026
  • Python

2026-grade LoRA training dataset coach: analyze, validate, prepare and evaluate datasets for 19 LoRA trainers (SDXL/Flux/Wan/Hunyuan/...). With JoyCaption captions, AI artifact detection, R-FaceSim post-training metrics.

  • Updated Oct 7, 2026
  • Python

CaptionForge creates stronger local dataset captions by combining multiple image-caption witnesses, distilling their agreements and contradictions, validating the result with a VLM, and exporting auditable LoRA-ready captions.

  • Updated Oct 22, 2026
  • Python

This repository contains locally performed tests for several open source models and the results. It also contains verified snippets on how to prepare some types of data for training and/or fine-tuning, as well as validating local setups. It contains a fine tuning example of LLM for generating travel itineraries (using DPO). More to be added.

  • Updated Jul 18, 2026
  • Python

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