Phase 2: Image Generation · 45 min · Python · OpenAI API · Midjourney API
Midjourney V8 & DALL-E / GPT Image
Midjourney for concepts, DALL-E for programmatic generation, FLUX for pipelines — each has its place in production.
Real-world application: Knowing the strengths and API patterns of Midjourney, DALL-E, and FLUX demonstrates breadth in image generation tooling — key for multi-provider routing roles.
What you will learn
- Integrate Midjourney V8 API for concept generation (4-5x faster, native 2K output)
- Use DALL-E 3 and GPT Image 2 for programmatic generation within the OpenAI ecosystem
- Understand Google Imagen 3 / Nano Banana Pro for photorealism and text rendering
- Choose the right model: Midjourney for concepts, DALL-E for programmatic, FLUX for pipelines
Objective
Produce and compare image candidates against an explicit creative brief. In the paired studio lab, build a router that takes a generation request, classifies it (concept, product, artistic, photoreal), and routes to the appropriate model (Midjourney for concepts, DALL-E for product, FLUX for pipelines). Track cost and generation time for each provider.
The Problem
A team uses FLUX for everything. Then a client needs concept art with a specific artistic aesthetic that FLUX can't match — Midjourney would be perfect. But the team doesn't know the Midjourney API. Another client needs images generated programmatically within their existing OpenAI-based product — DALL-E is the natural fit, but the team only knows fal.ai.
Multi-provider routing is a core generative media engineering skill. Knowing the strengths and API patterns of each provider enables you to route requests to the best model for each use case.
What you'll build
A router that classifies generation requests (concept, product, artistic, photoreal) and routes to the appropriate model (Midjourney, DALL-E, FLUX). Track cost and generation time per provider.
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You've read the first 2 sections. The rest of this lesson covers The Concept, Build, Check Yourself, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.
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