# Hanaikada **Repository Path**: licyk/Hanaikada ## Basic Information - **Project Name**: Hanaikada - **Description**: Browse, search and manage images made with Stable Diffusion WebUI, ComfyUI and InvokeAI - **Primary Language**: Python - **License**: GPL-3.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-09-28 - **Last Updated**: 2026-10-12 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README
Browse, search and manage the images you made with **Stable Diffusion WebUI**, **ComfyUI** and **InvokeAI**, from a web UI or the command line. Hanaikada ("flower raft": petals drifting on water) reads the generation data each platform writes into its images — the WebUI's infotext, ComfyUI's graph, InvokeAI's metadata, and NovelAI's comment — turns it into one record, indexes it, and lets you: - **Browse** your WebUI, ComfyUI and InvokeAI output folders (or any folder) in a fast, virtualised grid with folder covers, sorting, a flattened "everything below here" view, and filters by platform, model and sampler. New images appear as soon as they are written. - **View** an image full screen with zoom, pan, a slideshow, a filmstrip, and an information panel: the prompt and every parameter, what changed from the previous image, every raw chunk (download a ComfyUI workflow as `.json` to drop it back into ComfyUI), and EXIF. - **Search** by prompt text (a full-text trigram index), negative prompt, file name, model, LoRA, seed, steps, CFG, size, orientation, date and tags; the search lives in the URL. - **Tag** images with your own tags and a favourite, alongside tags derived from the metadata (prompt words, LoRAs, models, samplers, sizes, InvokeAI boards). - **Manage files**: move, copy, rename, delete (to the trash) and upload, with sidecar files following their image and the index following every change. Download a selection as a zip. - **Compare** two images with a slider and a prompt diff, and see **statistics**: a contribution heatmap, images per month, and the models, samplers and LoRAs you use most. The design, the conventions and the known gaps are in [AGENTS.md](AGENTS.md). ## Install ```bash python -m pip install hanaikada hanaikada --help ``` Python 3.10 or newer. The web UI is bundled into the package; you do not need Node. Pydantic v1 and v2 are supported (v1 with Python 3.10–3.13 and `fastapi<0.126`). ## Start ```bash hanaikada root add ~/stable-diffusion-webui # the layout is detected: sd-webui hanaikada root add ~/ComfyUI # comfyui hanaikada root add ~/invokeai # invokeai hanaikada webui # scans in the background and opens the browser ``` A root can be an installation folder or one of its output folders. Hanaikada reads the WebUI's `config.json` for its output folders, uses ComfyUI's `output/` (and `temp/` if you ask), and InvokeAI's `outputs/images/` together with its thumbnails and, read-only, its boards. ## Command line ```text hanaikada ├── webui start the server and open the web UI (--host --port --no-open --no-scan) ├── version | env ├── config show | get | set | path ├── root list | add