@stable-canvas/sd-webui-a1111-prompt-parser
v1.3.0
Published
sd-webui-a1111-prompt-parser is a Stable Diffusion webUI (A1111) prompt parser for JavaScript. It parses Stable Diffusion model prompts into structured data for easy analysis and manipulation by developers.
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sd-webui-a1111-prompt-parser
Introduction
sd-webui-a1111-prompt-parser is a Stable Diffusion webUI (A1111) prompt parser for JavaScript. It parses Stable Diffusion model prompts into structured data for easy analysis and manipulation by developers.
Features
- Parses A1111 format prompts, supporting the following syntax:
- Plain text
- Emphasis (parentheses)
- Weight (brackets)
- Lora models
- Hypernetwork models
- Negative prompts (square brackets)
- Step Control (scheduling)
- Converts parsed results into JavaScript objects for easy manipulation and use
- Supports regenerating A1111 format prompts from JavaScript objects
Installation
pnpm add @stable-canvas/sd-webui-a1111-prompt-parserUsage
import { PromptParser } from "@stable-canvas/sd-webui-a1111-prompt-parser";
const parser = new PromptParser();
const prompt = `masterpiece, 1girl, blonde hair, <lora:Zelda_v1:0.5>, (chromatic aberration:0.7), sharp focus, hyper detailed, (fog:0.7), <hypernet:sxz-bloom:0.5>, [real photo], [highlight:dark:0.9], (((good anatomy)))`;
const output = parser.parse(prompt);
console.log(output);Output:
[
{ "type": "plain", "value": "masterpiece" },
{ "type": "plain", "value": "1girl" },
{ "type": "plain", "value": "blonde hair" },
{ "type": "extra_networks", "value": "lora", "args": ["Zelda_v1", "0.5"] },
{
"type": "weighted",
"value": 0.7,
"args": [{ "type": "plain", "value": "chromatic aberration" }]
},
{ "type": "plain", "value": "sharp focus" },
{ "type": "plain", "value": "hyper detailed" },
{
"type": "weighted",
"value": 0.7,
"args": [{ "type": "plain", "value": "fog" }]
},
{
"type": "extra_networks",
"value": "hypernet",
"args": ["sxz-bloom", "0.5"]
},
{
"type": "negative",
"value": 1,
"args": [{ "type": "plain", "value": "real photo" }]
},
{
"type": "scheduled_full",
"value": 0.9,
"args": [
[{ "type": "plain", "value": "highlight" }],
[{ "type": "plain", "value": "dark" }]
]
},
{
"type": "positive",
"value": 3,
"args": [{ "type": "plain", "value": "good anatomy" }]
}
]Usage Case: de-SD-styled (remove stable-diffusion styled prompt)
This function is used to clear all SD-WebUI style prompts, which is necessary when training new models based on DiT.
Theoretically, it should iterate through the tokens (this is a high level AST structure), but generally, no one writes prompt control syntax beyond two levels.
import {
PromptParser,
generation_str,
} from "@stable-canvas/sd-webui-a1111-prompt-parser";
const parser = new PromptParser();
function cleanPrompt(prompt: string): string {
const tokens = parser
.parse(prompt)
.filter((x) => x.type !== "extra_networks")
.flatMap((x) => {
switch (x.type) {
case "weighted":
case "negative":
case "positive":
case "scheduled_full":
return x.args;
default:
return x;
}
});
return generation_str(tokens).trim();
}API
PromptParser Class
Constructor
new PromptParser(options?: SDPromptParser.ILarkOptions);options: Optional parameters for configuring the Lark parser. For detailed parameter descriptions, refer to the [Lark documentation](https://lark-parser.readthedocs.io/en/latest/classes/ Lark.html#lark.Lark).
parse Method
parse(text: string, options?: ParseOptions): SDPromptParser.PromptNode[];text: The prompt string to be parsed.options: Optional parameters for configuring parsing behavior.force: When set totrue, parsing is forced even if there are syntax errors in the prompt. The parsing results may be incomplete. The default isfalse.
- Returns: An array of parsed prompt nodes, node type definitions refer to
SDPromptParser.PromptNode.
compilation Function
compilation(node: SDPromptParser.IPromptASTNode): SDPromptParser.PromptNode[];node: The root node of the abstract syntax tree (AST) generated by the Lark parser.- Returns: An array of parsed prompt nodes, node type definitions refer to
SDPromptParser.PromptNode.
generation_token Function
generation_token(nodes: SDPromptParser.PromptNode[], options?: GenerationOptions): string[];nodes: An array of nodes for which to generate prompt strings.options: Optional parameters for configuring generation behavior.remove_1_weighted: When set totrue, nodes with a weight of 1 are removed. The default isfalse.
- Returns: An array of generated prompt strings.
generation_str Function
generation_str(nodes: SDPromptParser.PromptNode[], options?: GenerationOptions): string;nodes: An array of nodes for which to generate the prompt string.options: Optional parameters for configuring generation behavior.remove_1_weighted: When set totrue, nodes with a weight of 1 are removed. The default isfalse.
- Returns: The generated prompt string.
Build
1. Build the Parser
1.1 Install Lark.js
pip install lark-js1.2 Build
pnpm build-lark2. Build the Package
pnpm buildTest
pnpm testLicense
MIT
