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[Feature Request]: Stacking or mixing variation seeds to refine a result #3745

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eadnams22 opened this issue Oct 26, 2022 · 5 comments
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enhancement New feature or request

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@eadnams22
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Is there an existing issue for this?

  • I have searched the existing issues and checked the recent builds/commits

What would your feature do ?

Something I like in InvokeAI is the ability to keep stacking variation seeds upon each other. I’d use this to refine a seed that was working well with ever decreasing variation strengths.

Proposed workflow

  1. Generate an image
  2. Enable a variation seed and strength
  3. Generate the variant
  4. Lock the previous variant seed and strength, then add a new variation seed on top of that, at even lower strength
  5. Repeat to refine the image using multiple variations at decreasing strengths.

Additional information

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@ClashSAN
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I've been wondering about this, the resulting image would have a load of metadata, but at least these variant images would be more reproducible than inpainting or color-sketch images.

@Ehplodor
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#2163

@Flisker
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Flisker commented Dec 4, 2022

I'm also trying to figure out how to do this as this seems like extremely useful and time saving feature.

@mezotaken mezotaken added the enhancement New feature or request label Jan 12, 2023
@Theroniya
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Agree, the most important feature! I have hundreds of images generated overnight. From the good ones I generate 10 variations. Then I edit endless variation seeds and hope there's finally one where the fingers are right.

Huge improvement, would Automatically generate a dozen 0.01 variations while I'm drinking a coffee.

@zx96-001
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zx96-001 commented May 4, 2023

speaking of this, i saw a post with something implemented like this:

Steps: 20, Sampler: DPM++ SDE Karras, CFG scale: 7, Seed: (original seed number), Size: 480x832, Model hash: ********, Variation seed: (another seed number), Variation seed strength: 0.21, Denoising strength: 0.69, Clip skip: 2, ENSD: 31337, Hires upscale: 1.15, Hires steps: 14, Hires upscaler: Latent

how can I do this in automatic1111 ? is there a plugin to install? is this what you are talking about? sorry for the newbie question but I want to learn.

The place where I copied this text from, implied the images shown were generated with A1111

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7 participants