Seminars

Training & Workshops

Alongside the website, I offer training courses and workshops — for teachers, teams, and professionals who want to work through the understanding described here together, not just read about it. The content follows the same method as this site: deterministic structure meets stochastic interpretation, taught hands-on rather than purely theoretically.

S1 · Teacher Training

Photographing Without a Camera — From Prompt to Image

Two-day training course for teachers

AI image generators today produce in seconds images that used to require elaborate photo productions or hours in 3D software. For classroom use, that opens up huge possibilities — but the results often remain a matter of chance unless you understand how these systems work.

This course provides the understanding needed for a deliberate, confident use of AI image generation. It's aimed at teachers with no technical background.

Day 1 covers the fundamentals: how AI image generation works, what differs between models, and how to build prompts that reliably lead to the desired result. Day 2 broadens the view to the complete workflow: connecting 3D software and AI for precise compositions, and post-production for consistent image series — for teaching materials or presentations, for example.

By the end, participants understand not just how to write a prompt, but why certain phrasings work — and how to turn AI image production into a reliable workflow.

Audience

Teachers of any subject, no technical background required

Duration

2 days

Format

In person, with hands-on exercises on your own device

Day 1 — Understanding and Steering

Block 1

How AI image generation works

From prompt to image — the basic process, explained clearly.

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  • From prompt to image — the basic process
  • Training, latent space, the diffusion process (explained clearly, without math)
  • Why the same model never produces the exact same image twice
  • What that means for reproducible results in a classroom context

Block 2

Differences between generation models

Which model for which purpose — a practical overview.

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  • Overview of common models and their characteristics
  • Strengths and weaknesses compared
  • Which model for which purpose

Block 3

Prompt architecture

How an effective prompt is structured — with hands-on practice.

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  • Structure of an effective prompt
  • Differences between models (keyword-based vs. natural language)
  • Common mistakes and how to avoid them
  • Hands-on exercise: developing and testing your own prompts

Day 2 — The Complete Workflow

Block 4

Connecting 3D and AI

Why pure prompt generation hits its limits — and how 3D structure helps.

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  • Why pure prompt generation hits its limits (composition, repeatability)
  • Core principle: precise structure (3D) meets creative interpretation (AI)
  • Practical application examples

Block 5

Post-production for consistent image series

How individual images become a coherent, recognizable series.

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  • Why individual images alone often aren't enough
  • Strategies for visually coherent image series
  • Color consistency, image look, recognizability

Block 6

Practical transfer

Developing your own teaching materials — directly in the course.

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  • Developing your own teaching materials
  • Choosing tools for a school context
  • Open questions and exchange of experience

ComfyUI and RAY-L are not actively taught — references may come up in the practical part if relevant, without making the course technical.

S2 · Workshop

3D & AI — The Professional Workflow

For product visualizers, advertising photographers, architectural visualizers, designers, and CGI studios

Anyone producing images professionally faces the same question this website asks: how do you combine Blender's precision with the visual strength of modern AI — without losing the control that professional requirements demand?

This workshop teaches exactly that — hands-on, with your own material, using Blender, RAY-L, and ComfyUI as concrete tools. Blender experience is helpful but not required.

The workshop is offered in two formats, depending on your goal:

Variant A

Overview and Method (1 day)

For anyone who wants a solid impression of the method before investing further — decision-makers, teams, or as a starting point before a later hands-on deep dive.

The focus is on understanding: how deterministic control from Blender and stochastic image synthesis from AI work together, how ControlNet Canny functions as a bridge, and which decisions determine a professionally resilient result. Live demonstrations and guided examples show the workflow concretely — without every participant leaving with their own complete setup.

Format: in person, 1 day, presentation and live demonstration, individual guided exercise steps

Variant B

Hands-on Workflow (2 days)

For anyone who wants to build the complete workflow themselves and take it home.

Day 1 builds the foundation: setting up Blender, RAY-L, and ComfyUI, understanding model types and their quirks, first runs from a simple Blender model to an AI-generated image.

Day 2 deepens the workflow using your own material: composition and camera decisions for your specific use case, targeted control via ControlNet strength and prompt architecture, and post-production for consistent, production-ready results.

By the end, participants leave the workshop with their own working setup and a first project of their own, built according to this site's method.

Format: in person, 2 days, fully hands-on on your own device

Individual customization

The exact content of both variants is tailored to participants' needs — a focus on architectural visualization, product photography, or advertising production can be adjusted accordingly. Multi-day, in-depth formats are also possible.

Custom Offer

Interested in a custom offer? Get in touch directly — I'll put together a workshop tailored to your team, your hardware, and your projects.

matthias@matthias-demand.de