Show HN: I used OpenAI's new image API for a personalized coloring book service
Art Style, “Ghiblification,” and Miyazaki Debate
- Many commenters see the sample pages as clearly Studio Ghibli–inspired; others insist they’re just generic cartoons.
- It emerges that the prompt explicitly asks for “simple Studio Ghibli portrait style,” which settles the factual dispute but not the value judgment.
- Some feel using Ghibli style is disrespectful, especially given Miyazaki’s known skepticism toward certain AI uses; others argue style imitation has always been normal practice and is not legally protected.
- Several note that public discourse often misquotes or oversimplifies Miyazaki’s earlier “insult to life itself” comments, which were about a grotesque AI animation, not all AI art.
- A separate critique: the current style often yields “generic” faces that don’t strongly resemble the original people, undermining the personalization pitch.
OpenAI Policy and Child Images
- One commenter flags a conflict: OpenAI’s policy forbids editing images of real people under 18, yet the site features child examples.
- Explanations offered:
- The sample kids might be AI-generated, not “real people.”
- OpenAI likely focuses enforcement on creepy/abusive use, not family photos.
- Some interpret the policy as allowing adults to edit their own childhood photos but not those of other minors.
- The creator says users must be over 18 and have consent from people in photos; they’ll reject policy-violating or obviously copyrighted inputs.
Product Value, Pricing, and Target Users
- Many like the idea and design, especially for family keepsakes; some expect pages might be framed, not treated as disposable.
- Others find ~$24–30 for ~24 pages too expensive versus $5/100-page mass-market books, especially given kids’ fast coloring habits.
- The creator cites high printing and image-API costs (~$7 per 24-page set) plus manual curation as reasons margins are thin.
- Suggestions: show photos of real printed books, allow PDF-only purchases (later implemented), support smaller “mini books,” and show original photo thumbnails alongside the coloring page.
DIY, Competition, and Technical Choices
- Multiple commenters note you can already do “photo → coloring sheet” cheaply or free with ChatGPT or other image models using simple prompts.
- Others who tried say this service achieves noticeably better, more recognizable results, crediting careful prompting and curation.
- Edge-detection approaches (Canny/HED) are suggested, but dismissed by some as too noisy and unpolished compared to generative models.
- The implementation uses OpenAI’s image API, manual regeneration for weak pages, and Lulu for print-on-demand; not fully automated.
AI vs. Human Artists and Broader Ethics
- One side argues you could instead pay human artists, supporting livelihoods instead of AI companies built on scraped work.
- Counterpoints:
- A human-drawn custom coloring book of this size would be prohibitively expensive and rare; this is effectively a new market segment.
- Commissioning artists involves negotiation, waiting, and potential refusal; AI sidesteps that friction.
- Historically, new media (photography, digital tools, etc.) also triggered moral panics, yet artists and art survived.
- Others raise systemic concerns: AI models are built on humanity’s collective creative output; some propose tariffs or broad compensation schemes rather than focusing only on a small subset of professional artists.
Business Viability and Barriers to Entry
- Commenters see this as a good example of a small “AI microbusiness,” but also note that the idea is easy to clone, which dampens some people’s motivation to build similar things.
- Some discuss SEO opportunities and other adjacent products (AI storybooks, bringing colored pages “to life,” stickers, T-shirts, etc.), suggesting the space will quickly get crowded.