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text2prompt

This is an extension to make prompt from simple text for Stable Diffusion web UI by AUTOMATIC1111.
Currently, only prompts consisting of some danbooru tags can be generated.

Installation

Extensions tab on WebUI

Copy https://github.com/toshiaki1729/stable-diffusion-webui-text2prompt.git into "Install from URL" tab and "Install".

Install Manually

To install, clone the repository into the extensions directory and restart the web UI.
On the web UI directory, run the following command to install:

git clone https://github.com/toshiaki1729/stable-diffusion-webui-text2prompt.git extensions/text2prompt

Usage

Type some words into "Input Theme"
Push "Generate" button

How it works

It's doing nothing special;

Danbooru tags and it's descriptions are in the data folder
- descriptions are generated from wiki and already tokenised
- all-mpnet-base-v2 model is used to tokenize the text
- for now, some tags (<1k tagged, containing title of the work) are deleted to prevent from "noisy" result
Tokenize your input text and calculate cosine similarity with all tag descriptions
Choose some tags depending on their similarities

More detailed

i \in N = \\{1, 2, ..., n\\} for index number of the tag
cosine similarity between tag description d_i and your text t : S_C(d_i, t) = s_i
probablity for the tag to be chosen : P_i

"Method to convert similarity into probablity"

"Cutoff and Power"

p_i = \text{clamp}(s_i, 0, 1)^{\text{Power}} = \text{max}(s_i, 0)^{\text{Power}}

"Softmax"

p_i = \text{softmax}(s_i)

"Sampling method"

"NONE"

$P_i = p_

"Top-k"

$
P_i = \begin{cases} 
\frac{p_i}{\Sigma p_j \text{ for all top-}k} & \text{if } p_i \text{ is top-}k \text{ largest in } \\{p_n | n \in N \\} \\
0 & \text{otherwise} \\
\end{cases}

"Top-p (Nucleus)"

N_p \subset N such that \Sigma_{i \in N_p}\ p_i\ \geq p
- set N_p=\emptyset at first, and add k into N_p where p_k is the k-th largest in \\{p_n | n \in N \\}, while the equation holds.


P_i = \begin{cases} 
\frac{p_i}{\Sigma p_j \text{ for all }j \in N_p} & \text{if } i \in N_p \\
0 & \text{otherwise} \\
\end{cases}

Finally, the tags will be chosen. The number of the tags will be \leq "Max number of tags".

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