AI Video Color Grading: Pro Results Fast
AI can set a clip's look at generation time or restyle footage you already have, but it isn't a LUT-accurate grading suite. Here's how to get a consistent color look with Flixly's video models and Video Tools, and when to finish in a traditional editor.
TL;DR
On Flixly, color is usually decided at generation time. Describe the grade in your prompt, or anchor it with a reference still in Image to Video or Reference to Video using models such as Seedance 2.0, Veo 3.1, or Kling 3.0. To change the look of footage you already have, use Video Tools, whose restyle presets and effects change the whole look, not just the grade. Flixly has no LUT import or curve controls, so precise matching of a print stock or broadcast LUT belongs in a traditional grading app. Every run shows its credit cost before you generate.
What AI video color grading means in 2026
AI tools approach color in two ways. Some set the look while the clip is being generated. Others take footage you already have and restyle it. Neither replaces a colorist's grading suite, but both can get you to a consistent, finished-looking result quickly.
The dimension that matters most
The real split is speed and convenience versus precise control. For most social deliverables, a look that's consistent and on-brand is enough, and AI gets you there with little effort. Precise control still matters when you have to match a broadcast LUT, a film print stock, or footage from another camera. That work needs numeric color tools that generative models don't offer.
Side by side: where color is decided
| Approach | Where on Flixly | Example models | Input | Precision |
|---|---|---|---|---|
| Prompt the grade | Text to Video | Kling 3.0, Veo 3.1, Sora 2 | text prompt | look described in words |
| Anchor to a still | Image to Video | Seedance 2.0, Veo 3.1, Kling 3.0 | first frame | follows the still's palette |
| Reference-driven | Reference to Video | Seedance 2.0, Veo 3.1 | reference images | follows the references |
| Restyle existing footage | Video Tools | style presets, Happy Horse | your video | whole-look change, not a grade |
Every run is quoted in credits before you generate, and the price depends on model, duration, and resolution.
Pick per use case
Short-form creators get the most from prompting the grade directly. Add color language ("teal-orange, lifted shadows, soft highlight roll-off") to the prompt in Text to Video, and the clip comes out already graded.
Brand and product teams that need every clip to match should start from a graded still. Grade one hero frame the way you want it, then animate it in Image to Video. Seedance 2.0 and Kling 3.0 both support up to 15-second clips and output up to 4K, so the palette carries through a full shot.
Colorists matching a specific print stock or delivery LUT should use AI for generation only. Export the clip and do the final grade in a traditional grading application, where LUTs and curves are exact.
Concrete workflow examples
Reference-matched look. Upload a still that already has the grade you want to Reference to Video. Describe the motion, keep the color terms consistent with the reference, and review the quote before generating.
Restyle existing footage. Open Video Tools and pick a style preset, or use Video Effects. Expect these to change the whole look of the clip, including texture and style, not just its colors.
Lip-sync projects. Generate or grade your base footage first, then run it through Lip Sync. Check the finished clip to confirm the look held up through the second pass.
When to stop at the first tool
If the deliverable is short and stays on social platforms, a clip from Text to Video with color described in the prompt is often good enough. Every extra pass is another quoted run, so add one only if the look is clearly off.
When a second pass pays off
Long-form pieces, festival submissions, and anything that must match other footage need exact control. Generate on Flixly, sharpen resolution if needed with the Video Upscaler, and finish the grade in a dedicated color tool.
Frequently Asked Questions
Can Flixly apply a LUT to my video?▾
No. Flixly has no LUT import, color wheels, or curve controls. You can steer color through prompts and reference images when generating, or restyle existing clips in Video Tools. For exact LUT or print-stock matching, finish the footage in a dedicated grading application.
Which Flixly models can take an existing video as input?▾
Only video-to-video tools and models accept an existing clip. That includes the restyle presets and effects in Video Tools, plus catalog models such as Happy Horse and Gemini Omni Flash v1.1. Generation models like Kling 3.0, Veo 3.1, and Sora 2 create new clips from text or images and don't regrade uploaded footage.
How do I keep color consistent across several generated clips?▾
Reuse the same color language in every prompt, such as 'warm tungsten highlights, teal shadows, low contrast', and start each clip from the same reference still or first frame. Keeping the model, aspect ratio, and resolution the same also helps.
How long does AI color work take?▾
It depends on the model, clip length, resolution, and current load, so there's no fixed time to promise. The cost is quoted in the app before each run.
