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Portfolio/Training/AI tools

AI IN PRODUCTION

GPT Image 2 for motion design: uses and advantages

OpenAI’s model for generating and editing images from text instructions and visual inputs. In a motion project, it can help develop styleframes and prepare selected frame elements.

Advantages in a workflow

  • Generation and editing in one model.
  • Image-reference inputs.
  • Flexible image sizes for the task.

An example of project use

First define composition, the main subject and lighting. Generate variations of one frame and choose an option that connects with adjacent scenes. Refine the details and prepare the asset for compositing. Save the original brief and intermediate versions so you can identify which change improved the image.

What to check

Check text, small details and fidelity to the original subject. A still image does not define reliable movement; video needs a separate stage. If product geometry must be exact, compare the result against the source and retain a manual finishing step.

Connecting it with classical production

Sessions approach the tool through a project task: what it accelerates, what inputs it needs and how to review the output. Combine it with design, animation and compositing. Read more in AI in motion design. Subscriptions and paid generations are separate; check service availability and terms before paying.

Official resources

Capabilities checked on 11 October 2026. For current plans, access and model limits, use the developer’s website.

Put it into practice

Discuss your project goal, experience and preferred learning format.

Discuss training