@stable-canvas/sd-webui-a1111-prompt-parser
v1.2.4
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-parser
Usage
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" }] }
]
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-js
1.2 Build
pnpm build-lark
2. Build the Package
pnpm build
Test
pnpm test
License
MIT