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 <a rel="ugc" href="https://www.runninghub.ai/ai-detail/1969091255022088193/?inviteCode=rh-v1058">【Test Effect】</a> and it only takes about 4 minutes throughout. If you find the effect satisfactory, you can then download the workflow to deploy locally!

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