Guided visual coherence

How can you maintain a consistent visual identity when generating multiple images with AI?

1250 € per session, excl. VAT

In short

In a half-day session of 3 hours you define fixed visual characteristics, build a reusable prompt and produce four related images. You compare the results, correct discrepancies and document your choices to obtain a usable series, accompanied by a quality assessment grid and precautions for distribution.

Why this training?

Images that work well individually can form a disjointed set: shifting colours, incompatible materials or conflicting lighting. Defining the fixed elements before generation makes it possible to distinguish an intentional variation from a break in visual identity. Repeating a prompt is not enough to keep every detail consistent. The training teaches you to select, compare and adjust the results, while keeping a record of the instructions and checking the conditions for using the images. Running case study: The fictitious organisation « Avelune Céramique » is preparing four square visuals to present an imaginary collection of vases: a main view, a material detail, a contextual view and a group composition. The images must share a terracotta palette, soft lighting and a minimalist setting, without suggesting that the products are actually on sale. Workplace application: In the following week, reuse the core prompt for a new anonymised subject, produce a fifth image and check that it belongs to the series using the same grid. Record discrepancies and useful corrections.

Objectives of this training

  • Define five fixed visual characteristics for a series of four images.
  • Write a core prompt that separates constants from variations.
  • Produce four proposals using a tool authorised by your organisation.
  • Correct a visual discrepancy by changing one variable at a time.
  • Assess coherence and document precautions for distribution.

Who is it for and what are the prerequisites?

Roles and tasks concerned

  • Communications officers producing series for social media.
  • Content creators and freelancers preparing recurring illustrations.

Prior skills

  • Have previous experience of writing simple instructions in a generative AI tool.
  • Be able to describe framing, a palette and a visual mood.

What you will work on

  1. Define the visual constants

    Objective: Turn an aesthetic intention into verifiable criteria. Palette, lighting, materials, setting and format; the difference between overall coherence and exact reproduction of an object.

  2. Build the instructions

    Objective: Establish an initial reproducible visual direction. Prompt structure: subject, composition, light, palette and constraints. Use references only where rights and the tool’s capabilities permit.

  3. Create variations and correct discrepancies

    Objective: Form a coherent set despite variations in generation. Controlled changes to framing; identifying shifts in colour, texture and geometry; limitations in faithfully reproducing objects.

  4. Assess and prepare for distribution

    Objective: Decide which images to keep or rework. Scoring the fixed characteristics, inspecting artefacts, rights to references, individuals’ consent and applicable notices. Vigilance regarding deepfakes and misleading representations.

What you take away

  • Concise visual style guide with five fixed characteristics and permitted variations.
  • Core prompt and four documented variations.
  • Comparison sheet of four selected images.
  • Completed quality assessment grid and distribution precautions sheet.

Method and assessment

  • Short instructional sessions followed by immediate practice on the running case study.
  • Individual work followed by work in pairs, with peer review of the outputs.
  • Guided group discussion: what works, what needs correcting and what remains a human decision.
  • Preparation: Have tested access to a tool authorised by your organisation that supports image generation. Prepare two fictitious or anonymised references with verified usage rights and no confidential data.

Observable criteria: The four images comply with the defined palette, light, material, setting and format. ; Each variation has distinct framing without contradicting the fixed characteristics. ; A discrepancy is identified, corrected and then compared with the initial result. ; Each image receives a score from 0 to 2 for each fixed characteristic, justified by an observation. ; The distribution sheet records the references, rights, any consent and the notices to include..

Frequently asked questions

Do you need to know how to draw?

No, but being able to describe the differences between two results precisely makes corrections easier.

Can you retain exactly the same vase?

Exact fidelity may remain limited. Variations in shape must be checked, particularly for a commercial presentation.

Can you use a real person’s face?

The exercise does not require this. Any subsequent use requires consent and rights to be checked, without producing a misleading deepfake.

Are the images ready to publish immediately?

Their distribution depends on quality checks, terms of use, rights and the notices applicable to the context.

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