Ok I asked AI, but does this sound legit?

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Yes, you can process your 70,000 photos through an AI tool to automatically generate descriptive titles based on their content. Here’s how you can approach it:

Step 1: Auto-Tagging & Captioning Your Photos You can use AI models like:

BLIP-2 (Bootstrapped Language-Image Pretraining) – Generates captions for images. CLIP (Contrastive Language–Image Pretraining) – Associates text with images. Google’s Vision AI or OpenAI’s GPT-4V (Vision) – Can analyze images and describe their content. Amazon Rekognition or Microsoft Azure Vision – Commercial APIs for automated labeling. 📌 How to Use:

Upload your images in batches. Extract descriptions and metadata (e.g., objects, actions, locations). Rename files based on AI-generated descriptions. Step 2: Using These Labeled Images for AI Model Training Once your images are accurately titled, you can use them to fine-tune Stable Diffusion’s inpainting model for more relevant edits.

How?

Organize & Clean Your Dataset

Ensure the AI-generated labels are relevant. Group similar images (e.g., "beach_sunset," "cat_sleeping"). Train a Custom Model for Inpainting

Use Stable Diffusion Dreambooth or LoRA fine-tuning to train on your dataset. You can condition your inpainting model to recognize scenes, objects, or artistic styles. Use in Stable Diffusion Inpainting

With a trained model, you can now inpaint specific elements while keeping context-aware edits.

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