this post was submitted on 18 Jul 2023
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Stable Diffusion
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The usefulness of ComfyUI is not just making one simple image. It is the ability to completely customize how that image is created.
For example, I have a workflow that generates a half-resolution preview image, then upscales the latent and puts it through two more sampling nodes. All three of the nodes have a different prompt input, with the focus slowly shifting to style instead of content.
I have also created a custom upscaling workflow, where the image is upscaled with normal upscaling, then re-encoded and put through just a few sampling steps, the re-encoded with a tiled VAE decoder (to save my VRAM). It creates much better results (more detail and control) than a direct ERSGAN upscale, and can even be put through ERSGAN afterward to get a super large image.
Do happen to have a tutorial for ComfyUI at hand, that you can link and that goes into some details? These custom workflows sound intriguing, but I'm not really sure where to start.
The repository links to a list of examples, but the best way to learn is just to mess around with it. It is fairly intuitive to work with (especially if you have used another node-based UI before, like Blender).
The UI also has the ability to import/export your current setup (what I call a workflow) as a json file. If I get some time, I might share some of mine with a pastebin link or something.
I just figured out that I could drag any of my images, made with A1111, into the UI and it would set up the corresponding workflow automatically. I was under the impression that this would only work for images already created with ComfyUI first. However, this gives great starting points to work with. I will play around with it tonight and see if I can extract upscaling and control-net workflows with it as a starting point from existing images.
I didn't even know that, that's pretty cool. I'll have to try it later