Image MetaHub：管理本地 AI 生图

Local-first AI image organizer and generative media library manager for ComfyUI, A1111, InvokeAI & more. Search huge output folders by pr…

Image MetaHub Find, organize, and reuse your AI generations — all on your own machine. Image MetaHub turns your output folders into a searchable desktop library. Find an image by its prompt, model, LoRA, or visual similarity; save prompts for later; and continue working in ComfyUI or Automatic1111. Your files stay where they are, with no uploads or account required. Download the app · Website · Get Pro · Discord Get started Download the build for your system from GitHub Releases. Open Image MetaHub and add your generation folders. Let the first scan finish, then browse, search, and filter your library. There is no need to move your files or change your folder structure. Enable folder watching to keep the library updated as new generations arrive. Windows: choose Setup for a standard installation or Portable to keep the app's settings and data beside the executable. When updating Portable, replace only the executable and keep its ImageMetaHubData folder. macOS: current builds are unsigned. Update notifications open GitHub Releases, where you can download the latest DMG and install it manually. If macOS blocks the app after you move it to Applications, run this in Terminal: xattr -dr com.apple.quarantine "/Applications/Image MetaHub.app" Find the generation you had in mind Search prompts and metadata, then narrow the results by checkpoint, LoRA, sampler, tags, rating, folder, media type, or ComfyUI node. Include what you want and exclude what you don't; active filters stay visible above the results. Browse in grid, Masonry, or table view. Use favorites, ratings, manual tags, and Auto-Tag to keep useful work easy to find. Explore groups images into models, prompt clusters, and collections, while stacks and duplicate helpers make large batches easier to curate. Themes include Ayu, Ayu Light, and additional choices in Settings. Find Similar searches for visually related images, including files with no generation metadata. It runs locally after a separate, explicit model download, with pausable indexing and optional GPU acceleration. Text-to-image visual queries are also available as an experimental option. Inspect an image and recover how it was made Open an image to read its prompt, model, LoRAs, seed, and other available generation settings. Use a separate viewer window, keep several references open, or reuse a single window as you browse. For related generations, lineage can show source images and transformation chains such as img2img, inpaint, and outpaint. Provenance summarizes available source evidence and offers an optional SHA-256 fingerprint. Shadow metadata lets you edit information while keeping the original available to restore. Keep your best prompts ready to reuse Save a prompt from any image into Prompt Library, then search, favorite, copy, or return to its source. Find images takes you back to library images matching a saved prompt or block. Import and export through JSON or styles.csv to move your prompts between tools. With Pro, turn useful fragments into reusable blocks, compose positive and negative prompts, and create templates with fillable fields. Saved compositions keep their own block snapshots, so later edits to a block won't silently change your earlier work. Manage your local AI models · Pro The Models workspace organizes checkpoints, LoRAs, diffusion models, VAEs, text encoders, and other local model files with covers, tags, favorites, notes, and trigger words. Identify versions through Civitai, link files to Hugging Face, and follow new releases or file changes in What's new. Both services have independent, optional monitoring controls. Checks retrieve information without downloading or replacing your model weights. See which library images use a model, inspect it in a detached window, or open Storage to review file sizes, locations, and verified duplicate copies. File removal lets you review the selected paths before moving them to the system Trash. Continue creating in ComfyUI or Automatic1111 · Pro Open ComfyUI Workspace to work with a running local ComfyUI instance inside the app, alongside your library images, saved prompts, blocks, and models. Reuse prompt text in compatible node fields or save selected node text for later. Generate from a compatible original workflow or rebuild a simpler workflow from image metadata. Inspect nodes, adjust parameters, and follow queued jobs with live previews. Automatic1111 integration also lets you copy generation parameters or send a generation directly to its API. Connect your running generator in Settings. For richer ComfyUI outputs, the companion MetaHub Save Node preserves workflow metadata, tags, notes, and available performance metrics. Generation requires the appropriate models and nodes in your generator. Arrange references on Canvas · Pro Open Canvas to create a saved board, or select library assets and choose Add to Board. Drag references from its Library panel, arrange them with text, frames and arrows, and double-click an asset to open its viewer. Select two to four images to compare them with the existing Compare View. Boards save automatically and keep references to your original files. Export or import an .imhboard.json document to back up a layout; media files remain in your library. Existing boards stay viewable and exportable after your trial ends. Compare, edit, and understand your results · Pro Compare up to four images, with synchronized zoom and metadata differences. Two-image modes include a slider, flicker, loupe, difference map, and edge comparison. The built-in Image Editor provides adjustments, crop, rotation, resizing, sharpening, and annotations, with metadata-preserving exports. Analytics Explorer shows which models, LoRAs, samplers, and generators you use, across the full library or current results. Images with MetaHub Save Node telemetry can also contribute generation-time, speed, GPU, and VRAM metrics. Images, video, audio, and 3D in one library Image MetaHub reads generation metadata from