Send to ComfyUI

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Everyone
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Everyone
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About this app

Download example workflow from Github:
https://tiptinker.github.io/SendtoComfyUI/

Send to ComfyUI turns your phone into a remote for your own ComfyUI server. Pick photos from your gallery, send them to a saved image-to-image workflow running on your PC, and get the results back on your device — all over your local network. Every image is processed on your own machine; nothing is uploaded to a third-party cloud.

FEATURES
• Batch processing — select multiple photos and send them one by one, with a live progress bar for the whole batch.
• Built-in gallery — results are saved to Pictures/ComfyUI and shown in an in-app Gallery tab.
• Point-and-pick configuration — connect to your server, then choose the workflow and the image input/output ports from dropdowns. No need to memorize node IDs.
• Guided LAN setup — a step-by-step guide with copy-to-clipboard commands for starting ComfyUI, enabling WSL mirrored networking, finding your PC's IP, and opening the firewall on Windows, Linux, and macOS.
• Light and dark themes, and English / Simplified Chinese / Traditional Chinese.

HOW IT WORKS
1. Start ComfyUI on your computer with cross-origin requests enabled and listening on your LAN (the in-app Setup Guide shows the exact command).
2. Enter your computer's IP and port, tap Connect, and pick your workflow and its image input/output ports.
3. Select photos, send them to ComfyUI, and review the saved results in the Gallery.

REQUIREMENTS
• A ComfyUI server you host yourself, reachable on the same local network.
• The app does not include or download any AI models — it uses the workflow and models already installed on your ComfyUI server.

This is a thin client: image generation happens entirely on your own ComfyUI instance. You control the workflow, the model, and your data.
Updated on
Jul 5, 2026

Data safety

Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time.
No data shared with third parties
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No data collected
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What’s new

Initial release.
Content rating
Everyone
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App support

About the developer
程勇涛
hschengyongtao@gmail.com
蜀鑫东路88号金沙海棠 青羊区, 成都市, 四川省 China 610000

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