Production Technology Consulting

Color science and generative workflows, engineered for production.

Color & Flow is the consulting practice of JD Vandenberg, a global technology leader and innovator with 20+ years building production technology, color pipelines, and creative tools for Netflix, Disney, Marvel, Technicolor, and ARRI.

We tailor each engagement to your content-creation standards and production needs, integrating AI in ways that protect creative intent and improve the workflow. Our strength is translating between filmmakers, post teams, engineers, and emerging AI tools, making complex technology practical, reliable, and ready for production.

What we do
Integration

GenAI Integration

Frontier model integration via ComfyUI and Python: tool evaluation, LoRA training, and fine-tuning. Safe adoption, workflow guardrails, and team training.

Science

Color Science

Level up your color pipeline with open standards. Color grading setup, display/projector calibration, color-critical viewing environments, and LUT/CLF development built on ACES, OTIO, and CLF.

Pipeline

Workflow & Pipeline

Post-production workflow design, camera matching (ACES/CDLs/3D-LUTs), dailies, VFX delivery, cloud pipeline architecture, and animation/live-action/hybrid workflows.

Delivery

Mastering & Delivery

HDR/SDR home and cinema deliveries (Dolby Vision, HDR10, Dolby ATMOS), QC and delivery validation.

Tooling

Engineering & Tooling

Custom scripting and pipeline automation (Python, MATLAB, Swift).

Approach

Innovation is meant to serve creative intent.

We are still in the early days of generative AI. We see its greatest value not in replacing creatives, but in giving them more room to create.

Our approach is to apply these tools thoughtfully: reducing friction, accelerating iteration, and shortening the path from idea to delivery, so your workflow supports your vision, rather than forcing your vision to conform to the workflow.

Recent projects

Day for Night LoRA

Day for night is a technique where scenes are shot in daylight, then processed to look like night footage. Productions use it to avoid the cost, safety risk, and scheduling problems of real night shoots, especially with child actors, restrictive permits, and stunt or crowd work.

The catch: sunlit shadows, daytime sky brightness, uncontrolled highlights, atmospheric haze, and color all read as daytime, and no existing process convincingly removes them. Modern high-dynamic-range sensors make this harder, not easier.

Building the training data

We shot a series of aligned day and night video pairs to build our own training data, then trained multiple LoRAs on it.

Aligned day and night video pair, Burger King location Aligned day and night video pair, Fresco Community Market location

Testing the results

We applied the trained LoRAs to footage the models had never seen, to test how well the results held up.

Day for night result using FLUX.1-Kontext-dev Day for night result using LTX 2.3 22B dev-fp8, street scene Day for night result using LTX 2.3 22B dev-fp8, aerial scene

SDR to HDR conversion

Use an SDR-to-HDR fine-tuned model to add missing details in shots' highlights.

SDR input versus HDR inferred output comparison, coastal rocks at sunset

Colorization

Trained a LoRA to learn how to colorize black-and-white images.

Black-and-white versus colorized inferred output, city skyline at night