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Re:Create Q&A with Henrik Svilling

How is AI actually used in creative production today — beyond the hype? As part of Re:Create, a project exploring how creative industries adapt to technological transformation, we spoke with Henrik Svilling from Istudios, a production studio based in Karlskrona and Gothenburg. In this Q&A, they share how AI fits into their visual effects pipeline, where it adds real value, the challenges it brings, and advice for others experimenting with generative AI in creative work.

Henrik Svilling

How do you use AI in your work?

We implement AI across different parts of our workflow, from obvious applications like assisting with Python, Nuke, and After Effects scripting, to generating matte paintings and environments, to co-developing markerless performance capture and in-house deepfake tools.

We also try to maintain a parallel workflow, where we test new tools and models alongside our traditional pipelines to see where they make the most sense.


Why?

For me, and for us at Istudios, it’s important to follow technological development and stay up to date. AI is no different, we see it as any another evolving tool and useful technique. 

The main difference is that we’re in the middle of a major leap right now, which makes it harder to keep up but also more important than ever to do so.

Bottom line: it’s useful — that’s why we use it.


What works?

AI works very well for supportive and time-saving tasks — and where we previously lacked specialized expertise.

Examples include:

  • Script generation and automation for compositing tools like Nuke and After Effects.

  • Automating parts of roto work (masking video).

  • Creating basic depth passes for fog and atmospheric effects.

  • Inpainting (video retouching) and background generation for environments.


What do you struggle with?

It’s still difficult or impossible, to reach final pixel quality with generative tools. You often get to about 80%, but the last 20% is where realism and consistency really matter, and that’s often where AI breaks down.

To be honest we also struggle with client expectations — people often believe in a “magic button,” but the reality is that AI still requires skill, iteration, and manual refinement.


What is your advice to industry colleagues?

If you want to start using generative AI for VFX, think modular.

Learn ComfyUI, and consider replacing small steps in your existing pipeline rather than trying to overhaul everything at once.

For example:

  • Use WAN 2.1 for inpainting instead of after fxs Content Aware Fill.

  • Experiment with Segment Anything for automated masking.

  • Be mindful of your data security, avoid commercial, credit-based cloud services for production work. Local or open-source solutions are often safer, cheaper, and more flexible.


Do you see any other parts of the creative sector that could use this workflow?

Good question! I think the modular, node-based thinking that comes from VFX and tools like ComfyUI could benefit many other creative fields.

It promotes flexibility and experimentation, which is valuable in any production process, not just in film or VFX.

Watch the webinar from October 24.

About Re:Create

The creative sector is facing a major technological transformation that requires new skills and ways of working. Re:Create is a key initiative that supports this transformation by systematically connecting established and emerging players, new technologies and future skills needs. The project focuses on creative industries such as fashion, architecture, film and design to create innovation between today's skills and tomorrow's opportunities.

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