Qwen_Edit_2511 One-click generation of LoRA training dataset

Preparing a dataset is the most tedious part of training an AI model (LoRA). You usually need to manually describe hundreds of images.

This workflow solves that problem by using Qwen 2.5-VL (Vision Language Model). It acts as an "AI Eye" that looks at your uploaded images and generates natural language descriptions (captions) automatically. It is designed to streamline the process of tagging images for training Stable Diffusion models.

🔥 Key Features:

1. Auto-Captioning: Replaces manual typing. The Qwen model analyzes the image content (subject, style, lighting, background) and writes a description.
2. LoRA Ready: It is specifically tuned to generate the kind of descriptive text needed for training datasets (e.g., for Kohya_ss or OneTrainer).
3. Batch Workflow: Designed to handle image inputs efficiently, allowing you to process multiple reference images for your character or style.
4. Edit & Refine: (Implied) The "Edit" in the filename suggests you can likely tweak the prompt sent to Qwen (e.g., "Describe this person in detail") to control the style of the captions.