For example, in 2025, we are seeing tools that allow you to drop an XMP file and select:
# Minimal logic for HALD to CUBE conversion import PIL.Image import numpy as np def hald_to_cube(image_path, output_path, lut_size=64): img = PIL.Image.open(image_path).convert('RGB') data = np.array(img).astype(np.float32) / 255.0 with open(output_path, 'w') as f: f.write(f"LUT_3D_SIZE lut_size\n") # Flatten and write RGB values for pixel in data.reshape(-1, 3): f.write(f"pixel[0]:.6f pixel[1]:.6f pixel[2]:.6f\n") # Usage: hald_to_cube('modified_hald.png', 'my_preset.cube') Use code with caution. Copied to clipboard xmp to cube converter
Because this is a niche workflow, no single "free online converter" does this accurately. Here are the professional tools. For example, in 2025, we are seeing tools
| Aspect | Original XMP (Recipe) | Converted Cube (Baked Cake) | | :--- | :--- | :--- | | | Yes (slider from 0-100%) | No (you'd need to re-convert at 50%) | | Range beyond 0-255 | Yes (works in floating point, HDR) | Limited (most cubes are 0-255, 10-bit or 12-bit) | | Masking / Gradients | Yes (can be local adjustments) | No (cube is global only) | | File size | ~5 KB | ~1-17 MB | | Aspect | Original XMP (Recipe) | Converted