AI Product Photography

PREREQUISITE★4.8(524)1,820 studentsAll Levels2h 25mUpdated 2026-05-01

About What you'll learn Curriculum Artifacts Instructor Reviews FAQ

About this course

The compounding play: get really good studio shots, then scale them into infinite lifestyle variations with AI — then turn those lifestyle stills into video clips. Real client story: $15K e-commerce photo shoot, only 3 photos used — because the AI-generated lifestyle imagery beat the studio output. Once you understand camera shots, framing, lighting, and aperture, you can prompt AI to give you exactly what you need.

What you'll learn

Translate photography vocabulary into AI prompts (shot type, framing, lighting, lens, DOF)

Pick the right model for the job — GPT Image 2 vs Nano Banana Pro 2 / Gemini 3 Pro Image

Use the 'Slap or Not' triage tool to filter generated images at scale (code included)

Build a reusable reference library — product angles + model faces + scale references

Scale 1 studio shot into 50 lifestyle variations (different backdrops, models, contexts)

Wire generated images into Shopify (or any CMS) programmatically via API

Find + safely store API keys (.env discipline) and hand them to Claude Code without leaking

Hand off lifestyle stills into video production (callback to AI Video Production)

Stay compliant — what NOT to generate (no celebrity likenesses, no medical fakes)

Course curriculum

8 modules·41 lessons·Total 2h 25m

01Why understanding photography gives you a massive leg up — you can't prompt what you can't namePreview2m

02Camera shots — wide, medium, close, extreme close, over-the-shoulder, Dutch angle2m

03Framing — rule of thirds, golden ratio, leading lines, negative space, fill-the-frame2m

04Lighting types — studio, natural, golden hour, blue hour, overcast, dramatic, high-key, low-key3m

05Aperture, DOF, focal length — translating photographer language to AI prompts (f/1.8 bokeh, 85mm portrait, 35mm wide)2m

06Image sizes by use case — 9:16 vertical, 16:9 horizontal, 1:1 square, custom web ratios3m

07GPT Image 2's killer feature — arbitrary sizes + great text rendering = no separate tool for ad copy in image2m

01GPT Image 2 — natural non-studio looks, motion graphics, text in images, custom aspect ratiosPreview3m

02Nano Banana Pro 2 (Gemini 3 Pro Image) — studio photographs, Photoshop-style edits, multi-angle face/product consistency2m

03Recraft + Ideogram — text-heavy designs, logos, vector-style output2m

04The decision tree — which model for hero / lifestyle / studio / variation / cleanup3m

05Cost math per gen — pricing transparency across the 4 main models3m

01The rule — always start with refs. Two minimum: product ref + scale ref. Three for on-model: + face refPreview2m

02Product refs — 3-5 angles of the actual product (front, side, back, top, detail)2m

03Model/face refs — multiple angles for consistency across a campaign2m

04Scale refs — on-model wearing similar item so proportions land correctly1m

05Naming + archiving your ref library — the reusable system that compounds over time3m

01The compounding play — good studio shots × AI = unlimited lifestyle imageryPreview2m

02Step 1: high-quality studio shots (real or AI-generated) as the source-of-truth assets2m

03Step 2: generate lifestyle variations — different backdrops, models, contexts, lighting moods3m

04Step 3: generate A/B ad creative variations (50 variations of one product from one studio shot)2m

05Step 4: turn lifestyle stills into video clips (callback to AI Video Production)2m

06Real client story: $15K e-commerce photo shoot, used only 3 of the shoot photos because AI lifestyle imagery beat them2m

01Why triage matters more for photo than video — AI tells are easier to spot in static frames2m

02The Tinder-style yes / no / why-rejected workflow2m

03Setting up the tool — the actual code, drop-in starter (included as artifact)2m

04Hooking it into your generation pipeline for auto-feedback + auto-regenerate2m

01The medical / legal danger zone — be careful with claims, language, and 'expert' positioning3m

02No celebrity faces, no public figure likenesses — right-of-publicity + IP risk2m

03Create your own recurring characters — consistent AI personas you own, no third-party likeness risk3m

04FTC AI disclosure rules — what you have to label, when (light touch — deeper dive in AI Security & Privacy 101)3m

01The shift — once you can generate beautiful images, the next bottleneck is deploying them at scalePreview2m

02Where API keys come from — Shopify admin, Anthropic console, OpenAI dashboard, Google Cloud Console. The 5-minute tour2m

03The .env discipline — never commit, never hardcode, never share. `.env.local` not `.env`. (Callback to GitHub Basics + Tech Stack + Security 101)3m

04How to hand Claude Code an API key — adding to .env, calling from Claude, the 'don't paste keys into prompts' rule3m

05Shopify's native API — programmatically create products from your generated images (title + description + tags + image upload in one POST). 50x throughput.3m

01→ AI Video Production — the natural next step (stills drive video, this course is the prerequisite)2m

02→ Introduction to APIs (FREE) — the API foundation. Then Claude Code Fundamentals + The Tech Stack for the full deploy pipeline2m

03→ AI Photo Scaling & Upscaling — the upscaling + cleanup deep dive (Magnific, Topaz, Gemini)2m

04→ AI Ad Creative & Virality — take these images into paid social2m

05→ Creator Bundle savings + Affiliate Program2m

What you take home

7 downloadable artifacts

Every course ships with the methodology AND the working assets. Drop them straight into your stack — they're AI-feedable, so you can paste them into Claude / Cursor / ChatGPT as a system prompt.

SKILL.md — AI photography methodology

SKILL.md

Photography-first prompting, reference-image discipline, model decision tree. Paste into Claude / ChatGPT as a system prompt and your AI starts thinking like a photographer.

'Slap or Not' image triage tool — with full code

Starter

The Tinder-style yes / no / regenerate-with-why app, ready to clone. The actual codebase Allen uses, customizable for your stack.

AI photo model decision matrix

Matrix

GPT Image 2 vs Nano Banana Pro 2 / Gemini 3 Pro vs Recraft vs Ideogram — side-by-side: best use case, cost per gen, weaknesses, killer features.

Prompt cookbook by product category

Library

Apparel, jewelry, electronics, food, cosmetics, furniture, home goods — ready-to-use prompt templates per category with the framing/lighting/lens defaults baked in.

Image sizes cheatsheet

Cheatsheet

Every platform's aspect ratios (Meta, TikTok, Pinterest, Google, YouTube, web hero, web product card) with recommended pixel dimensions.

Reference-image discipline doc

Template

The naming + archiving system for product refs / model refs / scale refs. The library that compounds over time.

AI tells checklist (photo edition)

Checklist

The signs that make product photos look fake (wrong hand poses, weird shadows, mismatched lighting, plastic skin) — and the prompts that fix them.

Meet your instructor

Allen Seavert — in residence

Founder · SetupBots · Phoenix, AZ

13+ years building. Shipped marketplaces, CRMs, lead engines, and content pipelines for clients from solo founders to 8-figure companies. Built a production experiences marketplace from scratch — scraped 13,706 leads with AI, wired a seat-race booking system, and automated cold email at scale. Now teaching the methodology.

1,000+Builders helped

831Setup lessons loaded

69Code resources

5Agent tools supported

Reviews

4.8 average across 524 verified reviews

Quality of content97%

Worth the price94%

Practical, not theoretical96%

Easy to follow91%

M.K.

Solo dev → 4-person agency

★★★★★

"Paid for itself the first month. The way Allen breaks down the workflow is the clearest I've seen."

Jess R.

Marketing lead at a 7-figure SaaS

★★★★★

"Replaced a $1,200/mo tool stack with a single workflow from this course. ROI was immediate."

Trent B.

E-commerce founder

★★★★★

"End-to-end, production-grade, not a sandbox demo. Worth 10x what I paid."

Priya N.

Operations director

★★★★★

"We automated 30 hours/week of manual labor within 6 weeks of finishing the course."

Frequently asked questions

No. This course is built for non-developers. Foundations like Claude Code, Supabase, Vercel, and GitHub are taught from zero. By the end you'll be shipping real apps without writing code yourself.

Lifetime access. You get every future update to the course as the tools evolve. No expiring subscriptions.

30-day no-questions-asked refund. If the course doesn't deliver on what we promised, we refund and we want to know why so we can improve.

Yes — completion certificates are issued automatically when you finish all course modules. They're shareable on LinkedIn.

Yes. Many operators buy a course first then book a consulting engagement to apply it to their specific business. Email growth@setupbots.com for details.

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AI Product Photography

About this course

What you'll learn

Course curriculum

What you take home

SKILL.md — AI photography methodology

'Slap or Not' image triage tool — with full code

AI photo model decision matrix

Prompt cookbook by product category

Image sizes cheatsheet

Reference-image discipline doc

AI tells checklist (photo edition)

Meet your instructor

Allen Seavert — in residence

Reviews

Frequently asked questions

Unlock all courses.

AI Product Photography

About this course

What you'll learn

Course curriculum

What you take home

SKILL.md — AI photography methodology

'Slap or Not' image triage tool — with full code

AI photo model decision matrix

Prompt cookbook by product category

Image sizes cheatsheet

Reference-image discipline doc

AI tells checklist (photo edition)

Meet your instructor

Allen Seavert — in residence

Reviews

Frequently asked questions

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