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AI Image Generation

From Prompt to Pixel

From prompt to pixel — master AI image generation across every major platform, build production fallback chains, and learn the craft of visual prompting that separates operators from amateurs.

8 lessons~78 min total

Lessons are shown in recommended order. Complete them in sequence for the best experience — or jump to any lesson.

Lesson 96·9 min read

The AI Image Generation Landscape

Six platforms. One production chain. The operators who ship at scale have made their provider choices deliberately — not because one model is 'best,' but because they understand what each is optimized for and when to fall through to the next one.

Lesson 97·10 min read

The Art of Visual Prompting

Text prompts and image prompts are different languages. The operators who get cinematic output from AI image models have internalized five descriptors — Subject, Style, Lighting, Composition, Mood — and they stack them in order, every time, without exception.

Lesson 98·10 min read

Midjourney — The Creative Professional's Tool

Midjourney v6+ sets the quality benchmark every other image model is measured against. Understanding its parameter syntax, Vary (Region) in-painting, and style reference system makes you dangerous for creative direction — even without an API.

Lesson 99·9 min read

DALL-E 3 and gpt-image-1 — OpenAI's Visual Layer

DALL-E 3 rewrites your prompts. gpt-image-1 does not. This difference defines which one you use for production pipelines and which one you use for conversational image generation. Know the distinction before you wire either into your stack.

Lesson 100·10 min read

Stable Diffusion and Open Source Image Gen

Open source image generation changes the cost structure completely. No per-image fees, no content filters you didn't add yourself, no rate limits you didn't impose. The tradeoff is infrastructure. This lesson is about when that tradeoff is worth making.

Lesson 101·9 min read

Leonardo AI — Production API and Cinematic Quality

Leonardo AI is where quality meets programmability. Phoenix 1.0 with Alchemy mode produces cinematic output through a clean REST API — no Discord, no self-managed infrastructure, no prompt rewriting. This is the fallback #1 in every serious production image pipeline.

Lesson 102·9 min read

Gemini Imagen — Google's Visual Intelligence

Imagen 3 via Google AI Studio is effectively free for content pipeline volumes. It handles text rendering, inpainting, and aspect ratio control through a clean API — and it integrates directly into Claude Code sessions via the mcp-image MCP server. This is your primary slot.

Lesson 103·12 min read

Building a Production Image Pipeline

The complete fallback chain: Gemini → Leonardo → gpt-image-1. Quality gates, async generation, CDN delivery, cost tracking per image. This is the production architecture that runs in the Knox ecosystem — built once, running on every content pipeline.