PL
Training · 2 days · 16h Open cohort Live training

AI visual creation

AI in visual creation: from your first model to a custom visualisation pipeline

For graphic designers, product designers and art directors in furniture and bathroom showrooms and design studios. Nine modules take participants from how generative models work through Figma Weavy, prompt engineering and product visual consistency to a ready workflow with an AI assistant aligned to the team's brand guidelines.

Benefits

Designers handle product variants without a photographer or renderer

Participants leave with a workflow they can use from the next day. Changing upholstery, glaze or background does not require a new external brief—variants are generated from one reference photo, cutting asset prep from days to hours.

Clients see several variants in the meeting, not a week later

An architect or showroom advisor shows the product in a specific project context live. The conversation shifts from "I'll send visuals on Thursday" to "let's look now", shortening decisions and reducing revisions after product choice.

The whole creative team shares one AI assistant

The assistant built during training knows brand guidelines, style guide and product parameters. Every designer starts from the same baseline, not an empty prompt, which reduces drift between projects.

What you get

  • How generative models work and why a designer who understands them gets better results than one who only clicks
  • Working in Figma Weavy: prompts, parameters, scalable composition and iterative product visual refinement
  • Product consistency across generations: keeping furniture, fittings or interior schemes visually aligned on every asset and context change
  • A custom AI assistant for the creative team with brand guidelines, style guide and a ready workflow

Live training in groups of up to 15. Session recordings available for 90 days after completion.

Schedule

Times are indicative. Day 2 ends around 18:00 at a standard group pace.

Day 1 · Foundations and first visualisations

9:00–17:00

  1. 9:00–11:00 2h lecture + demo

    Panorama of AI in visual creation

    How the designer's and creator's role is changing. Is style non-replicable? Local and cloud tools. Text-to-image and text-to-video models. Local vs cloud models. First model run.

  2. 11:15–12:45 1.5h lecture

    Foundations of generative AI technology

    How generative models work: text to image. Transformers and diffusion models. Context-window limits for multimedia creation. Visual hallucinations and artefacts: causes and how to reduce them.

  3. 13:30–16:00 2.5h lecture + workshop

    Introduction to Figma Weavy

    Weavy interface. Human vs LLM image description. Mood and style. Technical image parameters. Anatomy of an effective visual prompt. Common prompt mistakes. Parameters and modifiers: aspect ratio, quality, style, seeds. Negative prompts. Composer option and scalable graphics.

  4. 16:00–17:00 1h workshop

    First workshop: consistent graphics for client visualisations

    Generating basic visual compositions. Working across styles: photorealism, illustration, abstract, vintage. Visual consistency across generations. Basic inpainting. Social media assets. Delivering a simple creative brief.

Day 2 · Advanced techniques and your own pipeline

9:00–18:00

  1. 9:00–12:30 3.5h workshop

    Working with visual tools

    Reference images and style transfer. Building consistent character and visual narrative. Keeping style and scene across generations. Advanced composition: framing, perspective, depth of field. Video from concept to animation: Runway, Veo 3, Pika.

  2. 13:15–15:15 2h lecture + workshop

    Advanced prompts and visual storytelling

    System prompts and persona for creative tasks. Chain-of-Thought for complex visual projects. Metaprompts for complex visual prompts. Visual storytelling through image sequences. AI moodboards and style guides. Designing advanced visual campaigns.

  3. 15:15–16:45 1.5h workshop

    AI assistants for creative teams

    Building an AI assistant for creative projects. Assistants for campaigns and concept art. Assistants for moodboards and mockups. Knowledge base: brand guidelines, style guides, best practices. Integrating the assistant into creative workflow.

  4. 16:45–17:45 1h lecture

    Safety, copyright and ethics

    Copyright in the AI era: who owns generated content. Training data and style mimicry: ethical issues. Watermarking and identifying AI-generated content. Responsible use of AI in creation.

  5. 17:45–18:00 0.5h discussion + Q&A

    Development strategy and wrap-up

    Identifying creative processes to augment with AI. Building AI-first workflow in the creative team. Competency roadmap. Q&A and summary.

Tailor the programme to your team

Select participant profile and modules to go deeper on—we will align emphasis and examples to your context.

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Areas

  • Design

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