generate-images-with-firebase-ai

# Generating images with Firebase AI Logic Gemini image models return interleaved text and image parts from one call. The response is a sequence to walk, not a string to read. A request that comes back empty is usually a configuration problem rather than a bug in your code, so section 1 covers the three settings that cause it. ## 1. Three things that block the very first call A first call that returns an error, an empty response, or a 403 is almost always one of these rather than your Dart. Rule them out before you debug code. **Billing.** Image generation has no free tier. On a Spark-plan project the image models return `limit: 0` for `generate_content_free_tier_requests`, so the first request fails on quota having made zero requests. Text models do work on Spark, which means "my other Gemini call works" proves nothing. Upgrade to Blaze, then verify the current limits rather than trusting this note: ```bash gcloud services quota list --service=generativelanguage.googleapis.com --consumer=projects/YOUR_PROJECT_ID ``` **App Check.** Firebase AI Logic enforces App Check when the project has it turned on. Otherwise the endpoint is open to anyone who extracts your config from the shipped client, and that config is public by design. Anything reachable from a device you do not control needs App Check. Debug builds attest with a debug provider, release builds with a real one. Web has a specific trap that costs an afternoon, described in `references/setup.md`. **`responseModa...