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2026/7/6 11:30 (UTC+8) · Docs Update 📚 Two new AI image-generation experience guides in the docs · how to get satisfying images Both are distilled from real customer cases plus our own testing, filed under the NanoBanana Best Practices collection to help developers raise their success rate:
  • How to Get Satisfying Images: a real “wrong color” editing case explaining the pipeline gap between the web-app agent and a single API call, where single-call variance comes from, and four strategies — better prompts, retries, switching models, and isolating issues with a test tool.
  • Image Compression & Output Resolution: output resolution is set by size parameters (writing “4K” in the prompt does nothing), reasonable input compression doesn’t hurt output sharpness, with a recommended compression table and EXIF/format/color-space best practices.
Take a look — and keep the feedback from real-world usage coming; we keep improving the docs.
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