Guided visual retouching

How can you repair a visible flaw without degrading the rest of a generated image?

1250 € per session, excl. VAT

In short

This half-day session of 3 hours offers a guided introduction to correcting generated images. You will learn to identify flaws, formulate a targeted request, compare several versions and prepare a usable file. The exercises combine visual checks, traceability of changes and precautions before distribution.

Why this training?

An image that looks appealing at first glance may contain impossible geometry, conflicting shadows or unwanted objects. These flaws become particularly visible when the image is enlarged or incorporated into an invitation. Generating the entire image again may result in losing a satisfactory composition. Learning to describe a limited correction and check its effects helps you decide whether a version is usable, needs further work or should be discarded. Ongoing case study: The fictitious organisation Avelisse Décoration is preparing an atmospheric image for a digital invitation. The generated image shows a table with a lamp: its base is distorted, a shadow is inconsistent and an unwanted object appears. These flaws must be corrected without changing the framing or colours. Application at work: For your next non-sensitive image, reuse the diagnostic checklist, address one flaw at a time and retain the versions. Have the result reviewed at its intended distribution size before any publication.

Objectives of this training

  • Identify and prioritise flaws in a generated image
  • Distinguish between local correction, cropping and generating a new image
  • Formulate an instruction specifying the required change and the elements to preserve
  • Compare the original and corrected version using a visual checklist
  • Prepare an export accompanied by caveats for distribution

Who is it for and what are the prerequisites?

Roles and tasks concerned

  • Communications officers starting to work with generated visuals
  • Assistants and content creators preparing simple illustrations

Prior skills

  • No prior knowledge of AI required.
  • Ability to open, save and locate an image file on your computer.

What you will work on

  1. Observe before making changes

    Objective: Distinguish between a distracting flaw and an aesthetic preference. An overall review followed by close inspection: shapes, proportions, light, textures and any text. Introduction to the limitations of generative correction.

  2. Choose a limited intervention

    Objective: Describe the first correction precisely. Local correction if available, cropping or regeneration depending on the flaw. Instruction: area, change, preservation constraints. No function is assumed to be available.

  3. Correct and compare versions

    Objective: Experiment with one change at a time. Guided trials in a tool authorised by your organisation. Retaining the original, naming files, checking transitions between edited and unedited areas, and reverting to an earlier version.

  4. Check and prepare for distribution

    Objective: Assess the result and its conditions of use. Inspection at actual size and enlarged, export format and dimensions. Rights to imported elements, consent from the people depicted, applicable notices and risks of misleading deepfakes.

What you take away

  • Annotated diagnosis of flaws and priorities
  • Log of instructions and compared versions
  • Corrected image exported for the fictitious invitation
  • Completed quality checklist and distribution precautions sheet

Method and assessment

  • Short explanations followed by immediate practice on the ongoing 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: Arrange access to a tool authorised by your organisation; check the actual editing and export options before the session. Prepare fictitious or anonymised images with verified usage rights, along with a folder for retaining versions.

Observable criteria: The diagnosis locates the three flaws in the case study and justifies their priority. ; Each instruction specifies a targeted change and the elements to preserve. ; The comparison checks geometry, shadows, transitions and preservation of the composition. ; Each flaw is recorded as absent, reduced or persisting before and after correction. ; The exported file opens correctly; rights, notices and caveats are documented..

Frequently asked questions

Do you need to know how to retouch photos?

No. The exercises begin with observation and simple instructions, with guidance provided.

What if local correction is unavailable?

We compare cropping with guided regeneration, explaining what cannot be preserved.

Can you work on a real portrait?

The exercises remain fictitious or anonymised. Actual use requires checking, among other things, rights, consent and the risks of misleading representation.

Is the resulting image automatically suitable for publication?

No. Human approval remains necessary, along with verification of rights and the notices required for the context.

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