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add discussion of samplers to VARIATIONS.md doc

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Lincoln Stein 2022-10-10 14:15:08 -04:00
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docs/features/VARIATIONS.md
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@ -123,3 +123,15 @@ two images. Here's the one I like best:
As you can see, this is a very powerful tool, which when combined with subprompt
weighting, gives you great control over the content and quality of your
generated images.
## Variations and Samplers
The sampler you choose has a strong effect on variation strength. Some
samplers, such as `k_euler_a` are very "creative" and produce significant
amounts of image-to-image variation even when the seed is fixed and the
`-v` argument is very low. Others are more deterministic. Feel free to
experiment until you find the combination that you like.
Also be aware of the [Perlin Noise](OTHER.md#thresholding-and-perlin-noise-initialization-options)
feature, which provides another way of introducing variability into your
image generation requests.