[ PRACTICAL GUIDE / CREATIVE GRADING ]
How strong should a LUT be on AI-generated footage?

[ THE SHORT ANSWER ]
There is no universally correct LUT strength for AI footage. The useful setting is the one that supports the intended look across the sequence without damaging important information. Source contrast, exposure and color all affect how forcefully a preset appears.
Before you begin
Choose strength after establishing a sensible source balance. Otherwise you may use a weaker look to hide a problem that belongs earlier in the workflow.
Choose a representative test sequence
Include a close-up, a wide shot and a difficult frame with strong color or bright highlights. If the film contains very dark scenes, include one of those as well. Do not pick only the image that already resembles the preset's preview.
Watch the cuts at normal speed. A treatment can look attractive on each paused frame yet produce an uneven sequence because one shot reacts much more strongly than its neighbors.
Define what should survive
Write down two or three visual priorities. These might be readable eyes, separation between a dark coat and the background, and a restrained red accent. The list gives you criteria beyond “more cinematic.”
Compare the unprocessed and treated image at matching viewing conditions. Stronger contrast can initially feel more impressive, so return to the actual priorities after the first reaction.
Working on the next decision? Read LUT or PowerGrade for AI video: which should you use?.
Compare a few clear options
Use a small set of strengths instead of making endless tiny adjustments. DARKMODE supplies seven looks in 100, 75 and 50 strength variants. Those are options within that product, not recommendations that every shot should use a particular percentage.
Avoid stacking several variants of the same look. Start from the same source state and compare each option separately. If the host editor provides additional strength controls, understand which stage they affect before combining them with a supplied weaker variant.
Treat exceptions locally
If one close-up breaks while the rest of the sequence works, inspect that shot's balance, lighting and source quality. Reducing the entire film's look may solve the exception at the expense of the overall direction.
Conversely, if every shot feels overly processed, a gentler global treatment is worth testing before building many corrective layers. Keep the workflow simple enough that you can explain why each adjustment exists.
Lock the decision with a delivery test
Export a short passage with the intended settings. Inspect faces, saturated details and deep shadows in the file, not only in the editor. If the image changes unexpectedly after export, investigate the color pipeline before changing the strength again.
Record the chosen look, its variant and any project-level adjustments. When another teaser or alternate format is needed, that record makes it easier to maintain the same finish without guessing from memory.
Sources and further reading
AI-assisted practical guide published by Chris Raw Studio. The linked references support the technical and product information; planning examples are illustrative. No original product test is claimed.