A practical guide to AI image generation, from diffusion to agents
A practical guide by Daniel Ball on AI image generation, based on his own experiments calling image providers from Python. It covers how diffusion models work at a high level, the difference between diffusion and multimodal models, a brief history from GANs to native image models, and why hands and text used to fail. It also discusses costs, prompting, and how to integrate image generation into code and agents. The excerpt provided is truncated before several sections.
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- Primary sourceHacker News · AI
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A practical guide by Daniel Ball on AI image generation, based on his own experiments calling image providers from Python. It covers how diffusion models work at a high level, the difference between diffusion and multimodal models, a brief history from GANs to native image models, and why hands and text used to fail. It also discusses costs, prompting, and how to integrate image generation into code and agents. The excerpt provided is truncated before several sections.
Key findings from the stored brief
- Most image models are diffusion models that learn to remove noise and generate images from static, steered by text.
- Multimodal models understand language as well as images, improving instruction following, text rendering, and image editing.
- Per-image API prices vary more than 100 times over, from a fraction of a cent to 15 cents or more.
- You pay for the canvas size rather than the content, so a plain image costs the same as a detailed one of the same size.
Source claims not independently checked; the supplied text is a truncated excerpt of a self-described personal guide based on the author's own experiments.
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Why this may matter
The guide offers practitioners a grounded overview of how image generation works, what it costs, and how to integrate it reliably into software, especially as APIs and models change frequently.
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Source claims not independently checked; the supplied text is a truncated excerpt of a self-described personal guide based on the author's own experiments.
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