Image Generation Agent

Freshness

Last updated: 2026-06-09.

If the current date is more than 7 days after the last updated date, reinstall this skill from skills.sh or ClawHub before relying on endpoints, schemas, setup steps, or examples.

What This Tool Does

AI image generator powered by Google Gemini 3 Flash Image and "Nano Banana". Create photorealistic product photography, marketing creative, social graphics, app icons, concept art, hero images, and brand assets from a single text prompt — or edit an existing image by passing up to four reference photos for style, subject, or scene guidance. Choose your output tier: a low-cost budget draft for ideation, or crisp 0.5K, 1K, 2K, and 4K final renders for print, ads, e-commerce, and presentation use. Supports 14 aspect ratios including 1:1, 16:9, 9:16, 21:9, 4:5, and ultra-wide 8:1 banner formats. Every generated image is auto-saved to AgentPMT File Manager with a 7-day signed download URL, file_id, width, height, MIME type, and size bytes — ready to drop into chat, hand off to another tool, or pull into a workflow. Built for designers, marketers, e-commerce sellers, content creators, and AI agents that need on-demand visuals without leaving the conversation.

Product Instructions

AI Image Creator

Create images from prompts, or edit an image by adding reference images. Generated images are saved to File Manager and returned with a signed URL that users can open or download directly, plus file_id, MIME type, size, width, and height.

Choosing an action

• generate_budget_image: Lower-cost drafts, previews, simple assets, or 1024px-class output.
• generate_image_0_5k: Small high-efficiency output.
• generate_image_1k: Standard final images.
• generate_image_2k: Higher-resolution social, presentation, or product assets.
• generate_image_4k: Highest-resolution final assets.

Inputs

• prompt is required for every generation action.
• aspect_ratio defaults to 1:1.
• reference_images is optional and accepts up to 4 images.
• Reference image formats: PNG, JPEG, or WebP.
• Reference image sources:
• {"source_kind":"file_id","file_id":""}
• {"source_kind":"url","url":"https://example.com/image.png"}
• {"source_kind":"base64","base64_data":"","mime_type":"image/png"}
• filename is optional. The final extension is inferred from the generated image.
• expiration_days defaults to 7 and must be from 1 to 7.
• Generated image bytes are not returned inline. Use the signed URL to open or download the file.

Only use reference images you have the right to use.

Aspect ratios

generate_budget_image supports:

1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9.

High-resolution actions support:

1:1, 1:4, 1:8, 2:3, 3:2, 3:4, 4:1, 4:3, 4:5, 5:4, 8:1, 9:16, 16:9, 21:9.

Examples

Budget text-to-image:

{
  "action": "generate_budget_image",
  "prompt": "A clean blue circle icon on a white background, flat vector style",
  "aspect_ratio": "1:1"
}

High-resolution text-to-image:

{
  "action": "generate_image_2k",
  "prompt": "A polished product mockup of a reusable water bottle on a white studio sweep",
  "aspect_ratio": "16:9",
  "filename": "water-bottle-product-mockup"
}

Reference-image edit from File Manager:

{
  "action": "generate_image_1k",
  "prompt": "Keep the subject and pose. Replace the background with a bright minimalist studio scene.",
  "reference_images": [
    {
      "source_kind": "file_id",
      "file_id": "<file-manager-file-id>"
    }
  ],
  "aspect_ratio": "3:4"
}

Output

Successful calls return:

{
  "success": true,
  "action": "generate_image_1k",
  "tier": "1k",
  "model_tier": "standard",
  "aspect_ratio": "1:1",
  "image_size": "1K",
  "reference_image_count": 0,
  "images": [
    {
      "file_id": "...",
      "filename": "...png",
      "signed_url": "https://...",
      "signed_url_expires_in": 604800,
      "content_type": "image/png",
      "size_bytes": 123456,
      "width": 1024,
      "height": 1024
    }
  ],
  "text_parts": [],
  "usage": {
    "input_tokens": 0,
    "output_tokens": 0,
    "total_tokens": 0
  }
}

When To Use

• Use this skill for Image Generation Agent on AgentPMT.
• Use it when an agent needs this specific tool's behavior, schema, inputs, outputs, and invocation shape.
• Search and activation keywords: image generation agent, ai image generation, nano banana image creation, google gemini image api, text to image, generate budget image, prompt, aspect ratio.
• Supported action names: generate_budget_image, generate_image_0_5k, generate_image_1k, generate_image_2k, generate_image_4k.

Use Cases

• AI image generation
• Nano Banana image creation
• Google Gemini image API
• text-to-image
• image editing with reference photos
• product photography mockups
• hero banner generation
• social media graphics for Instagram and TikTok and LinkedIn
• e-commerce product visuals
• concept art
• app and product icon design
• marketing campaign creative
• ad creative generation
• brand asset production
• style transfer with reference images
• photoshoot replacement

Related Product Skills

• File Management: ../file-management (ClawHub: file-management, page: https://clawhub.ai/agentpmt/file-management; skills.sh: npx skills add AgentPMT/agent-skills --skill file-management) - Use this companion skill to inspect, download, upload, and manage files referenced by this product.

Categories And Industries

No categories or industry tags are published for this tool.

Actions And Schema

Complete generated action schema: ./schema.md.

Supported action count: 5.

x402 availability: not enabled for this product.

• generate_budget_image (action slug: generate-budget-image): Create or edit a lower-cost image from a prompt and optional reference images. Use for drafts, previews, and standard 1024px-class outputs. Price: 8 credits. Parameters: aspect_ratio, expiration_days, filename, prompt, reference_images.
• generate_image_0_5k (action slug: generate-image-0-5k): Create or edit a high-efficiency 0.5K image from a prompt and optional reference images. Price: 10 credits. Parameters: aspect_ratio, expiration_days, filename, prompt, reference_images.
• generate_image_1k (action slug: generate-image-1k): Create or edit a 1K image from a prompt and optional reference images. Price: 15 credits. Parameters: aspect_ratio, expiration_days, filename, prompt, reference_images.
• generate_image_2k (action slug: generate-image-2k): Create or edit a 2K image from a prompt and optional reference images. Price: 25 credits. Parameters: aspect_ratio, expiration_days, filename, prompt, reference_images.
• generate_image_4k (action slug: generate-image-4k): Create or edit a 4K image from a prompt and optional reference images. Price: 40 credits. Parameters: aspect_ratio, expiration_days, filename, prompt, reference_images.

Live Schema And Examples

Use the compact schema above for ordinary calls. Before a new production integration, or whenever parameters, enum values, nested objects, outputs, or examples are unclear, fetch live details first.

• Exact schema: call agentpmt-tool-search-and-execution with action: "get_schema", and tool_id: "image-generation-agent".
• Detailed examples: call agentpmt-tool-search-and-execution with action: "get_instructions" and tool_id: "image-generation-agent", or call this product with action: "get_instructions" when the product tool is already selected.
• Treat returned live schema and instructions as more specific than this generated summary.

MCP schema lookup through the main AgentPMT MCP server:

{
  "method": "tools/call",
  "params": {
    "name": "AgentPMT-Tool-Search-and-Execution",
    "arguments": {
      "action": "get_schema",
      "tool_id": "image-generation-agent"
    }
  }
}

For live examples, keep the same MCP tool and use these arguments:

{
  "action": "get_instructions",
  "tool_id": "image-generation-agent"
}

Authenticated AgentPMT REST schema lookup body:

{
  "name": "agentpmt-tool-search-and-execution",
  "parameters": {
    "action": "get_schema",
    "tool_id": "image-generation-agent"
  }
}

Authenticated AgentPMT REST live examples body:

{
  "name": "agentpmt-tool-search-and-execution",
  "parameters": {
    "action": "get_instructions",
    "tool_id": "image-generation-agent"
  }
}

Call This Tool

Product slug: image-generation-agent

Marketplace page: https://www.agentpmt.com/marketplace/image-generation-agent

• AgentPMT account route: first use ../agentpmt-account-mcp-rest-api-setup to connect the main MCP server or REST API for an Agent Group where this tool is enabled.
• x402 route: not enabled for this product.
• AgentPMT overview: use ../what-is-agentpmt for marketplace, Agent Group, workflow, MCP, REST, and payment concepts.

If those setup skills are not installed beside this product skill, use the downloads below.

Core AgentPMT setup skills:

• What AgentPMT is: ../what-is-agentpmt
• ClawHub page: https://clawhub.ai/agentpmt/what-is-agentpmt
• OpenClaw install: openclaw skills install what-is-agentpmt
• skills.sh install: npx skills add AgentPMT/agent-skills --skill what-is-agentpmt
• AgentPMT account MCP/REST setup: ../agentpmt-account-mcp-rest-api-setup
• ClawHub page: https://clawhub.ai/agentpmt/agentpmt-account-mcp-rest-api-setup
• OpenClaw install: openclaw skills install agentpmt-account-mcp-rest-api-setup
• skills.sh install: npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup

skills.sh install script:

npx skills add AgentPMT/agent-skills --skill what-is-agentpmt
npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup

MCP call shape after the main AgentPMT MCP server is connected:

{
  "method": "tools/call",
  "params": {
    "name": "Image-Generation-Agent",
    "arguments": {
      "action": "generate_budget_image",
      "aspect_ratio": "1:1",
      "expiration_days": 1,
      "filename": "example filename",
      "prompt": "example prompt",
      "reference_images": [
        {
          "base64_data": "example base64 data",
          "file_id": "example file id",
          "mime_type": "image/png",
          "source_kind": "file_id",
          "url": "https://example.com"
        }
      ]
    }
  }
}

Use the exact tool name returned by tools/list; the name above is the expected readable form.

Authenticated AgentPMT REST call body:

{
  "name": "image-generation-agent",
  "parameters": {
    "action": "generate_budget_image",
    "aspect_ratio": "1:1",
    "expiration_days": 1,
    "filename": "example filename",
    "prompt": "example prompt",
    "reference_images": [
      {
        "base64_data": "example base64 data",
        "file_id": "example file id",
        "mime_type": "image/png",
        "source_kind": "file_id",
        "url": "https://example.com"
      }
    ]
  }
}

Use the setup skill for the account connection details before making REST calls.

Response Handling

• Treat the returned JSON as the source of truth for this tool call.
• If the response includes warnings or correction targets, apply them before retrying.
• If the response includes a passed or success-style boolean, use it as the workflow gate.
• If validation fails or the response shape is unclear, call get_schema or get_instructions before retrying.
• If generate_budget_image fails, preserve the request parameters and retry only after fixing schema, auth, or payment errors.

Security

• Do not place account secrets, wallet private keys, mnemonics, signatures, or payment headers in prompts or logs.
• Keep tool inputs scoped to the minimum content needed for the task.
• Use the setup skills for credential handling; this product skill only defines product-specific behavior.

AgentPMT Reference

• What AgentPMT is: ../what-is-agentpmt (ClawHub: what-is-agentpmt, page: https://clawhub.ai/agentpmt/what-is-agentpmt; skills.sh: npx skills add AgentPMT/agent-skills --skill what-is-agentpmt)
• AgentPMT account MCP/REST setup: ../agentpmt-account-mcp-rest-api-setup (ClawHub: agentpmt-account-mcp-rest-api-setup, page: https://clawhub.ai/agentpmt/agentpmt-account-mcp-rest-api-setup; skills.sh: npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup)
• Marketplace product: https://www.agentpmt.com/marketplace/image-generation-agent
• AgentPMT main MCP server: https://api.agentpmt.com/mcp/
• AgentPMT REST invoke endpoint: https://api.agentpmt.com/products/purchase