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I am using Automatic1111 and SDXL and this is exactly the workflow people are doing with that. Generate an image, maybe even a low quality one. Fix the seed an
by blensor 3y ago
I am using Automatic1111 and SDXL and this is exactly the workflow people are doing with that.
Generate an image, maybe even a low quality one. Fix the seed and then start iterating on that
- genewitch 3y agodo you have a link on how this is done? what does "fix the seed" mean? I was experimenting last night with seed variation (under Extra checkbox next to the seed input box) and i couldn't accurately describe what the sliders did. Sometimes i'd get 8 images that were slight variations, and sometimes i'd get 3 of one style with small variations, and then 5 of a completely different composition with slight variations, in the same batch. As far as the OP goes, they claim you don't need to prompt engineer anymore, but they just moved prompt engineering to chatgpt, with all of the fun caveats that comes with.
- tavavex 3y agoI think by "fixing the seed" they just meant using the "Reuse seed from last generation" button. By default, this will mean that all future images will get generated with the same seed, so they'll look identical. The "variation seed" thing mixes slight variations into this fixed seed, meaning that you're likely to get things that look similar, but not identical to the original. The "variation strength" slider controls how much impact from the variation seed is mixed into the original, with 0 being "everything from the initial seed", and 1 being "everything from the variation seed". I'm pretty sure that leaving the width/height sliders at their default positions is fine. Also, just for future reference - lots of UI elements in A1111 have very descriptive tooltips, they help a lot when I can't quite remember the full effects of each setting.
- blensor 3y agoYes, that describes it pretty well. By default the random seed is different for each generation, so even if the prompt and every setting is the same you'll get vastly different images ( which is the expected outcome ). When you set the seed to a fixed number you get the same image every time you generate if all other settings and the prompt are exactly the same. So I start off with a pretty high CFG Scale to give it enough room to imagine things ( Refiner and Resize turned off ) Once I have a good base image, I'll send it to img2img and iterate some more one it.
- genewitch 3y agoThanks for info. I don't use img2img except when i want to "AI" a picture, but this makes sense, as one of the steps. I usually just "run off"* dozens of images and pick the best one - but i don't do this for a living or anything, just to be able to "find" a picture of something in less than a minute. * like a mimeograph!
- LordDragonfang 3y agoNot quite. In A1111, the process is "pick a seed and iterate the prompt". You're still regenerating the image from noise, and if SD decides to hallucinate a feature that wasn't in the prompt, it's often very hard to remove it. Since gpt4 natively understands images, there's the potential for it to look at the image, and understand what about it you want to change