feat: SOTA AI photo colorization with DDColor deep learning model (#57) (#58)

Add AI-powered photo colorization that converts B&W/grayscale images to
full color using DDColor (ICCV 2023 dual-decoder architecture) via ONNX
Runtime. Includes model selection (Auto/DDColor/Classic), adjustable color
intensity, batch processing, before/after preview, and full HEIC/HEIF support.

Co-authored-by: stirling-image <stirling-image@users.noreply.github.com>
This commit is contained in:
stirling-image
2026-04-13 19:40:55 +08:00
committed by GitHub
co-authored by stirling-image
parent 58cdbe50b4
commit c280076098
12 changed files with 690 additions and 0 deletions
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import { readFile, writeFile } from "node:fs/promises";
import { join } from "node:path";
import { type ProgressCallback, runPythonWithProgress } from "./bridge.js";
export interface ColorizeOptions {
intensity?: number;
model?: string;
}
export interface ColorizeResult {
buffer: Buffer;
width: number;
height: number;
method: string;
}
export async function colorize(
inputBuffer: Buffer,
outputDir: string,
options: ColorizeOptions = {},
onProgress?: ProgressCallback,
): Promise<ColorizeResult> {
const inputPath = join(outputDir, "input_colorize.png");
const outputPath = join(outputDir, "output_colorize.png");
await writeFile(inputPath, inputBuffer);
const { stdout } = await runPythonWithProgress(
"colorize.py",
[inputPath, outputPath, JSON.stringify(options)],
{ onProgress },
);
const result = JSON.parse(stdout);
if (!result.success) {
throw new Error(result.error || "Colorization failed");
}
const actualOutputPath = result.output_path || outputPath;
const buffer = await readFile(actualOutputPath);
return {
buffer,
width: result.width,
height: result.height,
method: result.method ?? "unknown",
};
}
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export { removeBackground } from "./background-removal.js";
export { isGpuAvailable, shutdownDispatcher } from "./bridge.js";
export { colorize } from "./colorization.js";
export type { DetectFacesResult, FaceRegion } from "./face-detection.js";
export { blurFaces, detectFaces } from "./face-detection.js";
export { inpaint } from "./inpainting.js";