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qwen image ControlNet Redraw the image — v1.0

This is a workflow for qwen image using the pose, depth, hard edge, and soft edge features of ControlNet

VersionRelease 2417520 — 千问洗图神器Qwen-Image-ControlNet-Union.jsonEstimated VRAMNot yet characterizedDgrade

Runtime profile

Access
External workflow
Status
Listed
Version
千问洗图神器Qwen-Image-ControlNet-Union.json
Source
Civitai
Updated
Oct 17, 2026

Source description

This is a workflow for qwen image using the pose, depth, hard edge, and soft edge features of ControlNet

Usage 1、Upload the image for which you want to reverse-engineer the prompt 2、Upload the image for controlling pose, depth, and edges 3、Select control mode 4、Fill in the control strength [default 0.8, if the output effect is not ideal, you can appropriately increase the strength] 5、Choose whether to use the prompt words you enter, turn it on not to use the prompt words for reverse inference of images 6、Fill in your own prompt words [if using reverse image prompt words, you don't need to fill this]

You can click on 【Test Effect】 and it only takes about 4 minutes throughout. If you find the effect satisfactory, you can then download the workflow to deploy locally!

What you need

Model files
37.4 GiB known subtotal

Remaining hardware or download-size estimates are not available yet.

Requirements

Models

9

Sources

1 source
CivitaiPrimaryVersion 2417520
civitai.com/models/2137192

Verified Oct 17

Source excerpts

1 excerpt

Source context: 182 downloads · Type Workflows · Base model Qwen