This is my personal workflow for the JibMixWan 2.2 model used as Text to Image model.Model: <a target="_blank" rel="ugc" href="https://civarchive.com/models/1813931/jib-mix-wan">https://civarchive.com/models/1813931/jib-mix-wan</a>I dislike cluttered workflows and tested quite some time to find the settings that produce the best image quality for my use cases.In the workflow I use a gguf variant of JibMixWan - you can swap this out for the fp8 or fp16 model which is available to download (using a 'load checkpoint' node instead of the gguf loader). A gguf version is not available for download, but it is simple to create it yourself from the fp16 using the tool and manual in city96s GGUF node package: <a target="_blank" rel="ugc" href="https://github.com/city96/ComfyUI-GGUF/tree/main/tools">https://github.com/city96/ComfyUI-GGUF/tree/main/tools</a>(creating ggufs yourself is a simple skill worth picking up).Suggestions and links for loras and upscale models are in the notes in the workflow. All missing nodes should be easily installable via the comfyui manager.Edit: if the Ultimate SD Upscale Node produces images with visible seams or different coloured eyes on a single subject (depends very much on the image) you can reduce the denoise from 0.28 to a safer 0.23 or (with tricky images) to 0.15

JibMixWan T2I effective workflow

You can now easily adjust the steps for all samplers with one node, additional explanations added, USDU denoise set to 0.23 which is a more stable option for different use cases

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