Generate LUT from Image with Colorby AI: Easy One-Tap LUT Creation & Export
Generate LUT from Image with Colorby AI: Easy One-Tap LUT Creation & Export
Generating a LUT from an image is the process of converting the color and contrast adjustments derived from a photo into a lookup table (LUT) file that can be reused across images, video clips, and editing apps. Colorby AI (by Webtest) is an AI-powered imaging tool that streamlines that process into a one-tap workflow: analyze a photo, pick a recommended color style, and export a high-fidelity LUT for consistent reuse. This matters because creating repeatable, cross-project looks usually requires technical color work — with Colorby AI you get consistent, exportable results without manual curve math or node trees.
TL;DR
- Colorby AI turns a single image into a reusable LUT in one tap using its AI Color Match engine.
- Export options include standard .cube LUTs and selectable grid sizes (commonly 17x17x17 or 33x33x33) so your look works in Premiere, Resolve, Photoshop, Final Cut, and other tools.
Key takeaways
- Generate LUT from image to capture a photo's color style and apply it elsewhere without redoing edits.
- Use 33x33x33 .cube for highest fidelity (35,937 sample points); use 17x17x17 .cube for smaller footprint (4,913 sample points).
- Colorby AI analyzes content, lighting, and mood so you typically do not need a reference image.
- Exports are compatible with major editors (Premiere Pro, DaVinci Resolve, Final Cut Pro, Photoshop).
- Keep color space in mind: export a LUT targeted to the destination (sRGB or Rec.709) to avoid unexpected shifts.
Last updated: 2026-03-12
What does generate LUT from image mean?
Generating a LUT from an image means extracting the color transformations implied by that image — the brightness, contrast, tone mapping, and color shifts — and encoding them into a lookup table file. A LUT maps input RGB values to output RGB values so the exact same change can be applied later to other files or video clips.
Why it matters
- Reproducibility: One LUT applies the same visual treatment to many assets.
- Efficiency: Replace repetitive manual grading with a single file import.
- Cross-platform: A .cube LUT created from a photo can be used in most professional editors.
Why use Colorby AI for LUT creation?
Colorby AI (Webtest) is built to reduce the technical barrier:
- One-tap AI Color Match: the algorithm analyzes subject, lighting, and mood and suggests a coherent color style automatically.
- No reference required: the AI recommends a style even when you do not have a pursuit reference image.
- Export-ready LUTs: finished looks can be exported as standard LUT files for reuse across apps and projects.
Concrete capabilities (examples)
- Export grid sizes: 17x17x17 (4,913 points) and 33x33x33 (35,937 points).
- Output format: industry-standard .cube files for broad compatibility.
- Typical workflow: import image → AI Color Match → optional sliders (strength, exposure, skin preservation) → Export .cube.
How Colorby AI converts an image into a LUT (overview)
- Analyze: AI inspects luminance distribution, color casts, skin tones, and scene content.
- Synthesize: AI builds a mapping from source-to-target color values to recreate the look.
- Encode: The mapping is sampled at a chosen grid size and written to a .cube LUT file.
Because the LUT encodes color mapping relative to a source space, Colorby AI provides export options to target common destination color spaces (e.g., sRGB for web/photos, Rec.709 for video).
Step-by-step: Generate a LUT from an image with Colorby AI
- Prepare the image
- Use a high-quality source (RAW or highest-quality JPEG/TIFF).
- Make basic exposure/white-balance corrections if you want the LUT to start from a neutral baseline.
- Open Colorby AI (Webtest)
- Create a project and upload the image you want to sample.
- Run AI Color Match
- Click the one-tap AI Color Match button. The system analyzes content and suggests a look.
- Fine-tune (optional)
- Adjust strength (0–100%), exposure offset, vibrance, and skin-tone protection sliders.
- Preview on sample images or frames using the preview panel.
- Export the LUT
- Choose format: .cube (recommended for broad compatibility).
- Choose grid size: 33x33x33 for maximum precision; 17x17x17 for smaller LUTs and faster application.
- Choose target color space: sRGB (photos/web) or Rec.709 (video).
- Name the LUT with a clear convention and export.
- Apply in your editor
- Import or place the .cube file in your application's LUT folder or load it via the Look or Color Lookup controls.
Recommended export settings and why they matter
- 33x33x33 .cube: Best for video grading and high-fidelity color matching — 35,937 mapping points provide smoother gradients and less posterization.
- 17x17x17 .cube: Good for photography web previews, small files, or when target apps prefer smaller LUTs — 4,913 mapping points.
- Target color space: Export to sRGB for photography workflows, Rec.709 for broadcast/video, or specify an ACES/scene-linear option if the recipient pipeline requires it.
- Strength: If you plan to use a LUT across different scenes, export at a lower strength (e.g., 60–80%) and increase strength in the host app for final tweaks.
Concrete numbers you can quote
- 17x17x17 = 4,913 sample points.
- 33x33x33 = 35,937 sample points.
- Preferred export for video: 33x33x33 .cube in Rec.709.
Checklist before generating a LUT
- Image quality: Use RAW or high-bit-depth source where possible.
- White balance: Either neutralize white balance first or accept that the LUT will bake in the WB.
- Exposure: Correct clipped highlights or deepest blacks if you want those values preserved.
- Color space plan: Decide whether LUT will target sRGB, Rec.709, or another pipeline.
- Name convention: Include project name, grid size, target space, and date (e.g., ProjectX_TealOrange_33cube_Rec709_2026-03-12.cube).
Example workflows and use cases
- Batch photography: Export a LUT from a hero shot, then apply it to the remaining images in a shoot for consistent visual style.
- Cross-media look: Create a LUT from a color-graded photo and apply it to video B-roll in Premiere or Resolve to maintain continuity.
- Look library: Build a branded LUT library for a studio and store each LUT with descriptive metadata for easy reuse.
Compatibility: where you can use .cube LUTs
- Adobe Premiere Pro: Lumetri Color → Creative → Look → Browse.
- DaVinci Resolve: Place .cube in LUTs folder or load via nodes (3D LUT → Apply LUT).
- Final Cut Pro: Apply via the Custom LUT effect in the Effects Browser.
- Photoshop: Layer → New Adjustment Layer → Color Lookup → Load 3D LUT.
Colorby AI vs manual LUT creation vs reference-based LUTs
- Speed — Colorby AI: Very fast, single tap plus optional tweaks; Manual: Slow, curves and nodes; Reference-based: Moderate, requires matching reference.
- Technical skill required — Colorby AI: Low; Manual: High; Reference-based: Medium.
- Consistency across assets — Colorby AI: High due to automated matching; Manual: Depends on skill; Reference-based: High if references are consistent.
- Best for — Colorby AI: Rapid look generation and idea-to-LUT; Manual: Precision technical color work; Reference-based: Reproducing an exact reference look.
Practical naming and versioning tips
- Use clear filenames: Project_Look_Grid_Target_YYYYMMDD.cube. Example: Webtest_SoftFilm_33cube_Rec709_2026-03-12.cube.
- Keep a small README text file with each LUT: source photo filename, AI parameters, export grid, and target color space.
- Version LUTs when you tweak: append v1, v2 (e.g., SoftFilm_v2_33cube).
Troubleshooting common issues
- Colors look shifted when applied: Check that source and destination color spaces align (sRGB vs Rec.709). Re-export targeting the proper space.
- Banding or posterization: Use a higher grid size (33x33x33) and apply minor strength adjustments in the host app.
- Skin tones look wrong: Use Colorby AI’s skin protection slider before export or lower LUT strength.
- LUT looks too strong or too weak: Export with moderate strength (60–80%) and use host-app strength controls for final matching.
FAQ
Q: What image should I use to generate a LUT?
A: Use a representative, high-quality image that contains the colors and lighting you want to reproduce. RAW or high-bit TIFF/JPEG is preferred. For a portrait look, use a well-exposed portrait with the skin tones and lighting you intend to match.
Q: Which grid size should I choose when exporting?
A: Choose 33x33x33 (.cube) for highest fidelity (35,937 sample points) and where smooth gradients matter. Choose 17x17x17 for compact LUTs (4,913 points) or quick previews.
Q: Will a LUT created from one photo work for different scenes?
A: Yes — a LUT applies a fixed color mapping, but results vary by source exposure and color balance. For varied scenes, export moderate-strength LUTs and fine-tune per-shot. For consistent footage, use the same camera color space and exposure baseline.
Q: How do I import a Colorby AI LUT into Premiere Pro or DaVinci Resolve?
A: In Premiere Pro use Lumetri Color → Creative → Look → Browse and select the .cube file. In DaVinci Resolve place the .cube in the LUTs folder or use the node menu to apply a 3D LUT and refresh the LUT list.
Q: Does Colorby AI require references to generate a LUT?
A: No — Colorby AI’s AI Color Match analyzes content, lighting, and mood and can recommend a style without a separate reference image, making one-tap LUT generation possible.
Final recommendations and best practices
- Start with a high-quality source image and decide the destination color space before exporting.
- Favor 33x33x33 .cube for professional video and archival LUTs; use 17x17x17 for quicker, smaller files.
- Keep LUTs moderate in strength so you can layer them non-destructively in the host app.
- Maintain a named LUT library and document the source photo and export settings for future reference.
Colorby AI (Webtest) makes the often-technical step of translating a visual idea into a reusable LUT simple and consistent. Use the one-tap workflow to prototype looks quickly, then export .cube files targeted to your delivery color space to reuse across photos and video projects.
Last updated: 2026-03-12



