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73 lines
2.6 KiB
Markdown
73 lines
2.6 KiB
Markdown
---
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title: Others
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---
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# :fontawesome-regular-share-from-square: Others
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## **Google Colab**
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[{ align="right" }](https://colab.research.google.com/github/lstein/stable-diffusion/blob/main/notebooks/Stable_Diffusion_AI_Notebook.ipynb)
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Open and follow instructions to use an isolated environment running Dream.
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Output Example:
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---
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## **Seamless Tiling**
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The seamless tiling mode causes generated images to seamlessly tile
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with itself creating repetitive wallpaper-like patterns. To use it,
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activate the Seamless Tiling option in the Web GUI and then select
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whether to tile on the X (horizontal) and/or Y (vertical) axes. Tiling
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will then be active for the next set of generations.
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A nice prompt to test seamless tiling with is:
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```
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pond garden with lotus by claude monet"
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```
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---
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## **Weighted Prompts**
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You may weight different sections of the prompt to tell the sampler to attach different levels of
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priority to them, by adding `:<percent>` to the end of the section you wish to up- or downweight. For
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example consider this prompt:
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```bash
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tabby cat:0.25 white duck:0.75 hybrid
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```
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This will tell the sampler to invest 25% of its effort on the tabby cat aspect of the image and 75%
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on the white duck aspect (surprisingly, this example actually works). The prompt weights can use any
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combination of integers and floating point numbers, and they do not need to add up to 1.
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## **Thresholding and Perlin Noise Initialization Options**
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Under the Noise section of the Web UI, you will find two options named
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Perlin Noise and Noise Threshold. [Perlin
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noise](https://en.wikipedia.org/wiki/Perlin_noise) is a type of
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structured noise used to simulate terrain and other natural
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textures. The slider controls the percentage of perlin noise that will
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be mixed into the image at the beginning of generation. Adding a little
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perlin noise to a generation will alter the image substantially.
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The noise threshold limits the range of the latent values during
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sampling and helps combat the oversharpening seem with higher CFG
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scale values.
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For better intuition into what these options do in practice:
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In generating this graphic, perlin noise at initialization was
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programmatically varied going across on the diagram by values 0.0,
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0.1, 0.2, 0.4, 0.5, 0.6, 0.8, 0.9, 1.0; and the threshold was varied
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going down from 0, 1, 2, 3, 4, 5, 10, 20, 100. The other options are
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fixed using the prompt "a portrait of a beautiful young lady" a CFG of
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20, 100 steps, and a seed of 1950357039.
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