[Workflow introduction]cloud running url:<a target="_blank" rel="ugc" href="https://www.runninghub.ai/post/1851088322331561986">https://www.runninghub.ai/post/1851088322331561986</a> After opening the workflow, you need to upload two images. One is a face image, and a frontal portrait is preferred here; the other is a clothing image. First, use Runninghub Captioner to reverse the prompt words, then use Apply PuLID Flux to perform facial migration, and then combine the FLUX model to generate a new image. Then, use the SUPIR model to optimize the image. Finally, generate the ID photo layout effect through the HivisionNode node. The built-in parameters have been set, and you are welcome to experience it. [Usage scenario] You only need to upload two images to generate ID photos with different outfits. You can change them according to different needs to generate a variety of images. Convenient, fast and practical, come and try it! [Key Node] PULD FLUX [Model Version] Flux Model Name: flux1-dev-fp8-Kijai.safetensors SUPIR Model Name: SUPIR-vOQ.ckpt [LoRA Model] None [ControlNet Application] None [K Sampler] CFG: 1.0 Scheduler: beta Noise Reduction: 1.00 Sampler: euler

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