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Add descriptions for truncation and perlin noise, and link to a graphic.
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Peter Baylies 2022-09-10 08:10:58 -04:00 committed by GitHub
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@ -380,6 +380,18 @@ cat aspect of the image and 75% on the white duck aspect
use any combination of integers and floating point numbers, and they
do not need to add up to 1.
## Thresholding and Perlin Noise Initialization Options
Two new options are the thresholding (`--threshold`) and the perlin noise initialization (`--perlin`) options. Thresholding limits the range of the latent values during optimization, which helps combat oversaturation with higher CFG scale values. Perlin noise initialization starts with a percentage (a value ranging from 0 to 1) of perlin noise mixed into the initial noise. Both features allow for more variations and options in the course of generating images.
For better intuition into what these options do in practice, [here is a graphic demonstrating them both](static/truncation_comparison.jpg) in use. Perlin noise at initialization is varied going across by 0.0, 0.1, 0.2, 0.4, 0.5, 0.6,, 0.8, 0.9, 1.0; and the threshold is varied going down from 0, 1, 2, 3, 4, 5, 10, 20, 100. The other options are fixed, so the initial prompt is as follows:
```
a portrait of a beautiful young lady -S 1950357039 -s 100 -C 20 -A k_euler_a --threshold 0 --perlin 0
```
Note: currently the thresholding feature is only implemented for the k-diffusion style samplers, and empirically appears to work best with `k_euler_a` and `k_dpm_2_a`. Using 0 disables thresholding. Using 0 for perlin noise disables using perlin noise for initialization. Finally, using 1 for perlin noise uses only perlin noise for initialization.
## Personalizing Text-to-Image Generation
You may personalize the generated images to provide your own styles or objects by training a new LDM checkpoint