image-gen

Image Generation Skill

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Install skill "image-gen" with this command: npx skills add jezweb/claude-skills/jezweb-claude-skills-image-gen

Image Generation Skill

Generate and edit website images using Gemini Native Image Generation.

⚠️ Critical: SDK Migration Required

IMPORTANT: The @google/generative-ai package is deprecated as of November 30, 2025. All new projects must use @google/genai .

Migration Required:

// ❌ OLD (deprecated, support ended Nov 30, 2025) import { GoogleGenerativeAI } from "@google/generative-ai"; const genAI = new GoogleGenerativeAI(API_KEY);

// ✅ NEW (required) import { GoogleGenAI } from "@google/genai"; const ai = new GoogleGenAI({ apiKey: API_KEY });

Source: GitHub Repository Migration Notice

Models

Model ID Status Best For

Gemini 3 Pro Image gemini-3-pro-image-preview

Preview (Nov 20, 2025) 4K, complex prompts, text

Gemini 2.5 Flash Image gemini-2.5-flash-image

GA (Oct 2, 2025) Fast iteration, general use

Imagen 4.0 imagen-4.0-generate-001

GA (Aug 14, 2025) Alternative platform

Deprecated Models (do not use):

  • gemini-2.0-flash-exp-image-generation

  • Shut down Nov 11, 2025

  • gemini-2.0-flash-preview-image-generation

  • Shut down Nov 11, 2025

  • gemini-2.5-flash-image-preview

  • Scheduled shutdown Jan 15, 2026

Source: Google AI Changelog

Capabilities

Feature Supported

Generate from text ✅

Edit existing images ✅

Change aspect ratio ✅

Widen/extend images ✅

Style transfer ✅

Change colours ✅

Add/remove elements ✅

Text in images ✅ (legible!)

Multiple reference images ✅ (up to 14: max 5 humans, 9 objects)

4K resolution ✅ (Pro only)

Note: Exceeding 5 human reference images causes unpredictable character consistency. Keep human images ≤ 5 for reliable results.

Aspect Ratios

1:1 | 2:3 | 3:2 | 3:4 | 4:3 4:5 | 5:4 | 9:16 | 16:9 | 21:9

Resolutions (Pro only)

Size 1:1 16:9 4:3

1K 1024x1024 1376x768 1184x880

2K 2048x2048 2752x1536 2368x1760

4K 4096x4096 5504x3072 4736x3520

Quick Start

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });

// Generate new image const response = await ai.models.generateContent({ model: "gemini-2.5-flash-image", contents: "A professional plumber in hi-vis working in modern Australian home", config: { responseModalities: ["TEXT", "IMAGE"], // BOTH required - cannot use ["IMAGE"] alone imageGenerationConfig: { aspectRatio: "16:9", }, }, });

// Extract image for (const part of response.candidates[0].content.parts) { if (part.inlineData) { const buffer = Buffer.from(part.inlineData.data, "base64"); fs.writeFileSync("hero.png", buffer); } }

Important: responseModalities must include both ["TEXT", "IMAGE"] . Using ["IMAGE"] alone may fail or produce unexpected results.

Model Selection

Requirement Use

Fast iteration Gemini 2.5 Flash Image

4K resolution Gemini 3 Pro Image Preview

Text in images Gemini 3 Pro (94% legibility at 4K)

Simple edits Gemini 2.5 Flash Image

Complex compositions Gemini 3 Pro Image Preview

Infographics/diagrams Gemini 3 Pro Image Preview

Text Rendering Benchmarks (4K resolution):

  • Gemini 3 Pro Image: 94% legible text

  • DALL-E 3: 78% legible text

  • Midjourney: Decorative pseudo-text only

When to Use

Use Gemini Image Gen when:

  • Stock photos don't fit brand/context

  • Need Australian-specific imagery

  • Need text in images (infographics, diagrams)

  • Need consistent style across multiple images

  • Need to edit/modify existing images

  • Client has no photos of their work

Don't use when:

  • Client has good photos of actual work

  • Real team photos needed (discuss first)

  • Product shots (use real products)

  • Legal/compliance concerns

Known Issues Prevention

This skill prevents 5 documented issues:

Issue #1: Resolution Parameter Case Sensitivity

Error: Request fails with invalid parameter error Source: Google AI Image Generation Docs Why It Happens: Resolution values are case-sensitive and must use uppercase 'K'. Prevention: Always use "4K" , "2K" , "1K"

  • never lowercase "4k" .

// ❌ WRONG - causes request failure config: { imageGenerationConfig: { resolution: "4k" } }

// ✅ CORRECT - uppercase required config: { imageGenerationConfig: { resolution: "4K" } }

Issue #2: Aspect Ratio May Be Ignored (Sept 2025+)

Error: Returns 1:1 square image despite requesting 16:9 or other ratios Source: Google Support Thread Why It Happens: Backend update in September 2025 affected Gemini 2.5 Flash Image model's aspect ratio handling. Prevention: Use Gemini 3 Pro Image Preview for reliable aspect ratio control, or generate 1:1 and use multi-turn editing to extend.

// May ignore aspectRatio on Gemini 2.5 Flash Image model: "gemini-2.5-flash-image", config: { imageGenerationConfig: { aspectRatio: "16:9" } }

// More reliable for aspect ratio control model: "gemini-3-pro-image-preview", config: { imageGenerationConfig: { aspectRatio: "16:9" } }

Status: Google confirmed working on fix (Sept 2025).

Issue #3: Exceeding 5 Human Reference Images

Error: Unpredictable character consistency in generated images Source: Google AI Image Generation Docs Why It Happens: Gemini 3 Pro Image supports up to 14 reference images total, but only 5 can be human images for character consistency. Prevention: Limit human images to 5 or fewer. Use remaining slots (up to 14 total) for objects/scenes.

// ❌ WRONG - 7 human images exceeds limit const humanImages = [img1, img2, img3, img4, img5, img6, img7]; const prompt = [ { text: "Generate consistent characters" }, ...humanImages.map(img => ({ inlineData: { data: img, mimeType: "image/png" }})), ];

// ✅ CORRECT - max 5 human images const humanImages = images.slice(0, 5); // Limit to 5 const objectImages = images.slice(5, 14); // Up to 9 more for objects const prompt = [ { text: "Generate consistent characters" }, ...humanImages.map(img => ({ inlineData: { data: img, mimeType: "image/png" }})), ...objectImages.map(img => ({ inlineData: { data: img, mimeType: "image/png" }})), ];

Issue #4: SynthID Watermark Cannot Be Disabled

Error: N/A (documented limitation) Source: Google AI Image Generation Docs Why It Happens: All generated images automatically include a SynthID watermark for content authenticity tracking. Prevention: Be aware of this limitation for commercial use cases. Watermark cannot be disabled by developers.

Issue #5: Google Search Grounding Excludes Image Results

Error: Generated images don't reflect visual search results, only text Source: Google AI Image Generation Docs Why It Happens: When using Google Search tool with image generation, "image-based search results are not passed to the generation model." Prevention: Only text-based search results inform the visual output. Don't expect the model to reference images from search results.

// Google Search tool enabled const response = await ai.models.generateContent({ model: "gemini-3-pro-image-preview", contents: "Generate image of latest iPhone design", tools: [{ googleSearch: {} }], config: { responseModalities: ["TEXT", "IMAGE"] }, }); // Result: Only text search results used, not image results from web search

Pricing

Current Pricing (as of November 2025):

  • Gemini 2.5 Flash Image: ~$0.008 per image

  • Input: 258 tokens per image

  • Output: 1290 tokens per image

  • Rate: $30.00 per 1M output tokens

Note: The generateImages API (Imagen models) does not return usageMetadata in responses. Track costs manually based on pricing above.

Source: Google Developers Blog - Gemini 2.5 Flash Image

Reference Files

  • references/prompting.md

  • Effective prompt patterns

  • references/website-images.md

  • Hero, service, background templates

  • references/editing.md

  • Multi-turn editing patterns

  • references/local-imagery.md

  • Australian-specific details

  • references/integration.md

  • API code examples

Last verified: 2026-01-21 | Skill version: 2.0.0 | Changes: Added SDK migration notice (critical), updated to current model names (gemini-3-pro-image-preview, gemini-2.5-flash-image), added 5 Known Issues (resolution case sensitivity, aspect ratio bug, reference image limits, SynthID watermark, Google Search grounding), added pricing section, added text rendering benchmarks.

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