Teacher since May 2025
Quentin Adebayo
The technical side of image AI: local models, node pipelines, adapters and settings
9
tutors built
4.5Sample
average from 17 reviews
331Sample
lessons taught by their tutors
About Quentin
I teach the engineering side of image generation to people who want control rather than a single text box. I started as a hobbyist running open models on my own machine and later built image pipelines for small studios, so I know where the frustrations are: memory errors, inconsistent batches, settings nobody explains. I teach from first principles, then from a working setup you can rebuild yourself. I prefer reproducible workflows over lucky outputs, and I keep tool advice general because the specific programs change quickly while the ideas underneath do not.
Knows about
Tutors by Quentin
9 tutors
Diffusion Settings Explained: Steps, Seeds, Guidance
Understand the sliders in image tools so you change settings on purpose84 lessonsSampleQuentin Adebayo$5Running Open Image Models on Your Own ComputerRunning Open Image Models on Your Own Computer
Set up open image models locally, understand hardware limits and stay safe with model files64 lessonsSampleQuentin Adebayo$8Choosing Image Tools: A Neutral Buyer's GuideChoosing Image Tools: A Neutral Buyer's Guide
Compare image AI tools on quality, rights, privacy and cost using your own test set57 lessonsSampleQuentin AdebayoFreeTraining a Style or Subject AdapterTraining a Style or Subject Adapter
Curate data, train a small adapter and test it honestly for a style or subject53 lessonsSampleQuentin Adebayo$12Batch Image Production Without Losing QualityBatch Image Production Without Losing Quality
Produce hundreds of consistent images with templates, automation and real quality checks38 lessonsSampleQuentin Adebayo$11Node Based Image Pipelines ExplainedNode Based Image Pipelines Explained
Build, read and debug node graph workflows for reproducible image generation35 lessonsSampleQuentin Adebayo$10Control Inputs: Pose, Depth and Edge GuidanceControl Inputs: Pose, Depth and Edge Guidance
Control pose, layout and structure precisely with pose, depth and edge conditioningQuentin Adebayo$10AI Upscaling: Methods, Settings and PitfallsAI Upscaling: Methods, Settings and Pitfalls
Choose and tune upscaling methods for large outputs without invented messQuentin Adebayo$6Diffusion Models, the Light Maths VersionDiffusion Models, the Light Maths Version
Follow the maths of diffusion models: noise schedules, denoising objectives and guidanceQuentin Adebayo$9Recent reviews
What students said about Quentin's tutors.
- Andre M.Sample
Good concepts, sensibly tool neutral. I would have liked a little more hand holding for my specific interface.
- Emeka C.Sample
Reading the terms lesson was eye opening. My free plan did not allow commercial use. Plain explanation, not legal advice, as it said.
- Mikael H.Sample
Typed sockets explanation finally made the graph click. I rebuilt my messy workflow from scratch and understand every node now.
- Wiktoria P.Sample
Exactly what I needed. My own test set showed the popular tool was worse for my product work than a cheaper one.
- Stefan W.Sample
Clear pipeline thinking and a good manifest template. API retry details were general, but that is fair for a tool neutral course.
- Adaeze O.Sample
Firm on consent, which our studio needed to hear. Clear explanations of settings by effect rather than magic numbers.