| name | upscale-image |
| description | This skill should be used when the user asks to "upscale an image", "increase image resolution", "make image bigger", "enlarge image", or "enhance image resolution". Requires Vertex AI credentials. |
Upscale Image
Upscale images using Imagen on Vertex AI.
Prerequisites
This skill requires Vertex AI credentials (not GEMINI_API_KEY).
Check Current Setup
echo "Project: ${GOOGLE_CLOUD_PROJECT:-NOT SET}"
gcloud auth application-default print-access-token &>/dev/null && echo "Auth: OK" || echo "Auth: NOT CONFIGURED"
First-Time Setup
If credentials are not configured, guide the user through these steps:
-
Get a Google Cloud Project
-
Enable Vertex AI API
-
Enable Billing
-
Install gcloud CLI (if not installed)
-
Authenticate
gcloud auth application-default login
This opens a browser for Google sign-in.
-
Set Environment Variable
echo 'export GOOGLE_CLOUD_PROJECT=your-project-id' >> ~/.zshenv
Usage
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/upscale-image/scripts/upscale.ts <input-image> [options]
Options
--factor <x2|x4> - Upscale factor (default: x2)
--format <png|jpeg|webp> - Output format
--quality <n> - JPEG quality (1-100)
--output <path> - Output path
--project <id> - Google Cloud project (overrides env var)
--location <region> - Vertex AI location (default: us-central1)
Examples
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/upscale-image/scripts/upscale.ts photo.jpg
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/upscale-image/scripts/upscale.ts photo.jpg --factor x4
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/upscale-image/scripts/upscale.ts photo.jpg --factor x4 --format png --output hires.png
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/upscale-image/scripts/upscale.ts photo.jpg --project my-gcp-project --factor x4
Context Discipline
Do not read generated images back into context. The script outputs only the file path. Ask the user to visually inspect the result. Upscaled images are especially large (2x/4x resolution) and will quickly exhaust the context window.
Model
Uses imagen-3.0-generate-002 via Vertex AI upscaleImage API.
Why Vertex AI?
The Imagen upscaling API is only available through Vertex AI, not the standard Gemini API. This is a Google limitation - the upscaleImage method in the @google/genai SDK only works with Vertex AI backend.