Xmp To Cube Converter May 2026

To convert Lightroom .XMP presets into .CUBE LUTs (for use in video software like Premiere Pro or DaVinci Resolve), you generally have two options: using a specialized plugin or a manual "HALD" image process. Top Conversion Tools

Export and Generate: Export the modified HALD as a high-quality JPG and run it through a generator like IWLTBAP or PhotonCam's web tool to produce the .CUBE file. Reverse Conversion (.CUBE to .XMP) xmp to cube converter

No, if: Your presets use complex masking, or you are working in ARRI Log-C or RAW video (you need a dedicated color management pipeline). To convert Lightroom

Save the script as xmp_to_cube.py

XMP (Extensible Metadata Platform): This is a parametric instruction set. It doesn't change the pixels; it tells the software how to change them (e.g., "Increase contrast by +20" or "Shift red hue by -5"). It relies on the raw image data.
CUBE (3D LUT): This is a fixed mathematical table. It maps every possible input color (RGB) to a specific output color. It is hardware-like; it doesn't think, it just replaces colors instantly.

Appendix A: Recommended default parameters

Default cube sizes: 33 (balanced), 65 (high fidelity).
Sampling domain: scene-linear RGB for exposure/filmic ops; sRGB for preview-only workflows.
Spline type: monotonic cubic for curves.
Metric thresholds: mean DeltaE2000 ≤ 1–2; max ≤ 5.

if not text: raise ValueError("Empty LUT data")

Create a Reference Grid: Download a standard color checker chart image (e.g., X-Rite ColorChecker).
Apply XMP in Camera Raw: Open the color checker image in Adobe Camera Raw (Photoshop). Apply your desired XMP preset.
Open in Photoshop: Open the adjusted image. Go to File > Export > Color Lookup Tables.
Generate CUBE: Choose "Cube" as the format. Set the grid points (e.g., 32 or 64—higher is more accurate but larger file size).

Several tools can help you bridge this gap, ranging from simple online converters to dedicated plugins: Convert Lightroom PRESETS into LUTS / How to create a LUT XMP (Extensible Metadata Platform): This is a parametric