A high-performance, standalone Digital Asset Management system designed specifically for generative AI workflows. Stop losing prompts and start organizing.
From individual creators finding their prompts, to studios reviewing daily outputs.
Manage 10,000+ output images with zero lag. Instantly recover the exact JSON workflow, seed, and prompt used for any generation months ago.
Transform flat folders into a real DAM. Create Virtual Collections, apply traffic-light Status Tags (Approved/Review), and batch move assets safely.
Launch a secure, read-only portal for clients or art directors. Let them leave star ratings and comments on specific frames without touching your raw files.
Don't open ComfyUI just to check a parameter. SmartGallery parses embedded JSON graphs instantly, presenting a human-readable dashboard.
Not sure what changed between iteration 42 and 43? Select two images and enter Compare Mode.
AI Video is heavy. SmartGallery is equipped with FFmpeg integration to handle ProRes, MKV, and large MP4s without crashing your browser.
Explore the interactive guide to SmartGallery features.
SmartGallery is designed for speed. Keep your hands on the keyboard to review thousands of outputs in minutes.
Stop duplicating files across your hard drive. SmartGallery uses a Virtual Collection system powered by a local SQLite database.
Finding a specific generation from 6 months ago is now instant.
• Prompt Keywords: Search the exact positive/negative text used.
• Workflow Files: Find images that used a specific LoRA or Checkpoint.
• Technical: Filter by Extension (.mp4, .webp), Date ranges, or "Favorites Only".
• AI Semantic Search: (If enabled) Search by concept like "cyberpunk city" using local vision models.
Turn your chaotic output folder into a professional client presentation interface.
By starting the server with the --exhibition flag, the interface transforms into a Read-Only gallery.
SmartGallery is built on Python/Flask and is 100% open-source.
Requirements: Python 3.9+, FFmpeg (for video support).
Configure your ComfyUI output path in the smartgallery.py file or via Environment Variables. Runs beautifully in Docker via Waitress WSGI.