Can I use the $300 GCP welcome credits on Nano Banana 2?
I have been going around in circles for the past day trying to get this configured. This used to be possible as of a month or so ago, however, I'm not quite sure if its possible anymore. I see a lot of conflicting information around whether or not you can use these credits for Image Generation. On top of that it seems there have been a lot of policy and roles/library name changes on Googles end that has made this especially difficult to deconstruct.
Long story short, GCP has a promo now that gives new users $300 in credits. I have attempted to use these credits via both a service account + api key as well as a secure JSON key file. Nothing has worked... I have run into 429, 403, 401, just about everything. Is this possible to do as of Jun 1 2026?
context around the approaches i have exhausted:
Attempt 1: Standard API Key (Default AI Studio Routing)
- Code Setup:
self.client = genai.Client(api_key=api_key)(No Vertex params). - GCP Setup: Key created in APIs & Services, restricted to "Gemini API".
- The Result:
429 RESOURCE_EXHAUSTED- Error Detail:
Quota exceeded for metric: ://googleapis.com, limit: 0, model: gemini-3.1-flash-image - The Issue: The unified SDK defaults to the AI Studio Developer backend, which treats the project as "Free Tier" and hardcodes the image generation limit to exactly 0. I assume if I upgraded this to a paid account, it would just charge my payment method and ignore the gcp/credits side of things.
- Error Detail:
Attempt 2: Service Account Bound API Key (GCP Enforcement)
- The Twist: My new GCP account has Secure by Default Organization Policies active. If I try to create an unbound key for Vertex AI, the UI disables it. It forced me to check "Authenticate API calls through a service account" and bind it to a Service Account with the Agent Platform User role.
- The Result:
401 UNAUTHENTICATEDfollowed by429 RESOURCE_EXHAUSTED (Prepayment credits depleted)- Error Detail:
Your prepayment credits are depleted. Please go to AI Studio... to manage your project and billing. - The Issue: Even though the key is backed by a GCP Service Account and a valid GCP billing account is active, routing without
vertexai=Truechecks for an AI Studio Prepay balance, completely bypassing the $300 GCP Cloud credits.
- Error Detail:
Attempt 3: Service Account JSON Keys
- The Approach: Bypass API keys entirely. Attempted to generate a standard service account JSON credential file to pass via
GOOGLE_APPLICATION_CREDENTIALS. - The Result: Blocked by GCP Console
- Error Detail:
Service account key creation is disabled. Enforced Organization Policies IDs: iam.disableServiceAccountKeyCreation - The Issue: Organization security policies strictly forbid downloading raw JSON key files.
- Error Detail:
Attempt 5: Application Default Credentials (ADC) via gcloud CLI
- The Approach: Ran
gcloud auth application-default login --project=my-projecton the host machine. Mounted the resultingapplication_default_credentials.jsondirectly into the Docker/Celery container volume. - Code Setup:
self.client = genai.Client(vertexai=True, project="my-project", location="us-central1")(Letting the SDK natively grab the user context). - GCP Permissions: My personal user email is an explicit Owner and has the Agent Platform User role assigned.
- The Result:
403 PERMISSION_DENIED- Error Detail:
Permission 'aiplatform.endpoints.predict' denied on resource '//://googleapis.com' (or it may not exist).
- Error Detail: