Product Mockup Studio

Name: Product Mockup Studio
Brand: Apoth3osis
SKU: 6aa82f8ef9dfb4fd6eb0d99a
Price: 0.01 USD
Availability: InStock

Model

Available ActionsEach successful request consumes credits as outlined below.

create_product_mockup^25crrefine_product_mockup^25cranimate_product_mockup^10crget_mockup_job^1crlist_mockup_jobs^1cr

Details

AI product photography and product video generator for e-commerce brands, marketers, and agencies. Upload one to five ordinary photos of your product and Product Mockup Studio turns them into polished studio hero shots, lifestyle scenes, flat lays, in-hand shots, packaging mockups, and clean marketplace-ready e-commerce images, with no photoshoot required. Lock in the details that matter using brand constraints for exact label text, brand colors, and must-keep product features, then fix any render with a plain-language revision. Once a still is approved, animate it into a 4, 6, or 8 second MP4 product clip with a slow push-in, orbit, turntable, light sweep, or floating motion in landscape 16:9 or vertical 9:16 for Shopify, Amazon, Etsy, Instagram Reels, TikTok, and YouTube Shorts. Powered by ElevenLabs Image & Video, including Google Veo 3.1 for motion, with Nano Banana available as an alternate still-image engine. Every PNG and MP4 is saved to your AgentPMT File Manager. Requires your own ElevenLabs API key.

Lifestyle hero shot generated from a single phone snapshot, with the label text preserved exactly

Use Cases

AI product photography from phone photos, Shopify and WooCommerce product page hero images, Amazon and Etsy listing photos on clean backgrounds, Lifestyle product scenes without a photoshoot, Packaging and label mockups that keep exact brand text, Flat-lay and in-hand product shots for social media, Vertical 9:16 product videos for Instagram Reels and TikTok, Turntable and orbit product clips for launch pages, Ad creative variations in multiple aspect ratios, Refining backgrounds lighting and props on an approved product image

Dynamic MCP Setup

Connect once through AgentPMT Dynamic MCP, then use approved tools from the same agent connection.

30 Second Setup

STDIO connector for Claude Code, Codex, Cursor, Zed, and other LLMs that require STDIO or custom connections.

npm install -g @agentpmt/mcp-routeragentpmt-setup

Hosted Streamable HTTPS

MCP endpoint for browser-based apps like ChatGPT, Claude, Grok, or any time you want a streamable connection with no local install.

https://api.agentpmt.com/mcp

Config Example

Use the hosted endpoint directly in clients that support remote MCP. Store your Bearer token in the client config or secret field.

Full connection guide

{
  "mcpServers": {
    "agentpmt": {
      "type": "streamable-http",
      "url": "https://api.agentpmt.com/mcp",
      "headers": {
        "Authorization": "Bearer <AGENTPMT_BEARER_TOKEN>",
        "x-instance-metadata": "{\"client\":\"generic-mcp\",\"platform\":\"remote\"}"
      }
    }
  }
}

Need client videos, organization controls, audit details, and the full feature overview?

More About Dynamic MCP

Actions(5)

create_product_mockup^25cr11 params(2 required)

Create one product-focused PNG mockup from File Manager product photos and a scene brief.

product_file_idsrequiredarray

One to five File Manager images showing the product or packaging.

Array of: string

scene_promptrequiredstring

Describe the desired setting, lighting, composition, and marketing result.

product_descriptionstring

Optional factual description of the product, materials, scale, and important features.

mockup_stylestring

Product presentation preset.

Values:

studio_herolifestylein_handflat_laypackagingecommercecustom

camera_viewstring

Preferred camera angle.

Values:

frontthree_quartersidetop_downclose_upcustom

style_reference_file_idsarray

Up to three File Manager images used only for visual style guidance.

Array of: string

image_providerstring

Image backend. auto prefers ElevenLabs and permits a safe Nano Banana fallback.

Values:

autoelevenlabsnano_banana

render_modestring

draft favors speed; final favors fidelity and resolution.

Values:

draftfinal

aspect_ratiostring

Output image aspect ratio. Default 1:1.

Values:

1:13:22:34:55:43:44:316:99:16

mask_file_idstring

Optional File Manager image mask for localized edits on the ElevenLabs final route.

brand_constraintsobject

Optional brand-fidelity requirements that the generated mockup should preserve.

Properties:

brand_colors(array)- Brand colors as names or hex values.

exact_text(array)- Visible product or packaging text that should remain exact; review the result.

must_preserve(array)- Product details that must remain visually consistent.

prohibited_elements(array)- Elements that must not appear in the output.

refine_product_mockup^25cr7 params(2 required)

Revise a completed mockup while preserving its product identity and approved composition.

source_task_idrequiredstring

Completed image task_id returned by this tool.

instructionrequiredstring

Describe only the changes to make and what must remain unchanged.

image_providerstring

Image backend. auto prefers ElevenLabs and permits a safe Nano Banana fallback.

Values:

autoelevenlabsnano_banana

render_modestring

draft favors speed; final favors fidelity and resolution.

Values:

draftfinal

aspect_ratiostring

Output image aspect ratio. Default 1:1.

Values:

1:13:22:34:55:43:44:316:99:16

mask_file_idstring

Optional File Manager image mask for localized edits on the ElevenLabs final route.

brand_constraintsobject

Optional brand-fidelity requirements that the generated mockup should preserve.

Properties:

brand_colors(array)- Brand colors as names or hex values.

exact_text(array)- Visible product or packaging text that should remain exact; review the result.

must_preserve(array)- Product details that must remain visually consistent.

prohibited_elements(array)- Elements that must not appear in the output.

animate_product_mockup^10cr12 params

Turn an approved product still into a short ElevenLabs MP4 product clip.

source_task_idstring

Completed image task_id. Provide this or source_file_id.

source_file_idstring

File Manager image file_id. Provide this or source_task_id.

motion_presetstring

Camera or product motion preset.

Values:

slow_push_inproduct_orbitturntablelight_sweepfloating_productlifestyle_motioncustom

motion_promptstring

Optional custom motion, camera, lighting, and sound direction.

duration_secondsinteger

Video length in seconds. Default 6.

Values:

468

aspect_ratiostring

Video aspect ratio. Default 16:9.

Values:

16:99:16

resolutionstring

Video resolution. Default 1080p.

Values:

720p1080p4K

render_modestring

preview uses the faster model; final uses the quality model.

Values:

previewfinal

generate_audioboolean

Generate native sound with the clip. Default false.

end_frame_file_idstring

Optional File Manager image to use as the final frame.

negative_promptstring

Optional description of motion or visual artifacts to avoid.

seedinteger

Optional seed for similar reruns.

Range: 0 - 4294967295

get_mockup_job^1cr1 param(1 required)

Check one mockup job and import a completed PNG or MP4 into File Manager.

task_idrequiredstring

Task ID returned by a create, refine, or animate action.

list_mockup_jobs^1cr4 params

List budget-scoped product mockup jobs without exposing unrelated provider generations.

media_kindstring

Optional media filter.

Values:

imagevideo

statusstring

Optional job status filter.

Values:

pendinggeneratingcompletedfailed

page_sizeinteger

Results per page, 1 to 100. Default 30.

Range: 1 - 100

cursorstring

Opaque cursor returned by the previous page.

curl -X POST "https://api.agentpmt.com/products/purchase" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer ********" \
  -d '{
    "product_id": "6aa82f8ef9dfb4fd6eb0d99a",
    "parameters": {
      "action": "create_product_mockup",
      "product_file_ids": [],
      "scene_prompt": "example_scene_prompt"
    }
  }'

import requests
import json

url = "https://api.agentpmt.com/products/purchase"

headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer ********"
}

data = {
    "product_id": "6aa82f8ef9dfb4fd6eb0d99a",
    "parameters": {
        "action": "create_product_mockup",
        "product_file_ids": [],
        "scene_prompt": "example_scene_prompt"
    }
}

response = requests.post(url, headers=headers, json=data)
print(response.status_code)
print(response.json())

const url = "https://api.agentpmt.com/products/purchase";

const headers = {
  "Content-Type": "application/json",
  "Authorization": "Bearer ********"
};

const data = {
  product_id: "6aa82f8ef9dfb4fd6eb0d99a",
  parameters: {
    "action": "create_product_mockup",
    "product_file_ids": [],
    "scene_prompt": "example_scene_prompt"
  }
};

fetch(url, {
  method: "POST",
  headers,
  body: JSON.stringify(data)
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error("Error:", error));

const axios = require('axios');

const url = "https://api.agentpmt.com/products/purchase";

const headers = {
  "Content-Type": "application/json",
  "Authorization": "Bearer ********"
};

const data = {
  product_id: "6aa82f8ef9dfb4fd6eb0d99a",
  parameters: {
    "action": "create_product_mockup",
    "product_file_ids": [],
    "scene_prompt": "example_scene_prompt"
  }
};

axios.post(url, data, { headers })
  .then(response => {
    console.log(response.status);
    console.log(response.data);
  })
  .catch(error => {
    console.error("Error:", error.message);
  });

Login to view your API and budget keys. The example above uses placeholder values. Sign in to see personalized code with your bearer token.

Autonomous agents can access this tool through AgentAddress credit balances or direct x402 payments. Use the Autonomous Agent API reference for endpoint shapes after choosing the access pattern below.

Recommended

Credit-Based Access Using AgentAddress

AgentAddress is preferred when an autonomous agent needs persistent file access, stored platform state, or maximum tool use ability across repeated calls.

Open Credit-Based Access Using AgentAddress

Direct x402 Payment

Use direct x402 for independent one-off tool calls that do not require shared files or stored platform state.

Accepted public payments

Stablecoin: USDC
Chains: Base, Arbitrum, Optimism, Polygon, and Avalanche

Direct x402 payments are not enabled for this product; use AgentAddress credit access instead.

Product Skill Package

This product has a published Agent Skill package. Install it when an autonomous agent needs product-specific operating instructions in its local skill registry.

Download SKILL.md View package source OpenClaw listing

OpenClaw install

skills.sh install

Usage Instructions

Usage guidance provided directly by the developer for this product.

Product Mockup Studio

Create a polished product still from reference photos, refine an approved still, or animate it into a short product clip. Inputs and outputs use AgentPMT File Manager IDs.

Recommended workflow

Upload one to five clear product images to File Manager.
Call create_product_mockup in draft mode.
Poll get_mockup_job until the image is completed or failed.
Visually review logos, text, dimensions, colors, and product details. Generated media always requires review.
Use refine_product_mockup for a focused revision, or create a fresh render with image_provider: "nano_banana" to compare providers.
Animate only an approved still, then poll the new video job.

The tool creates the output filename and uses the platform's fixed seven-day File Manager retention. There are no filename or expiration inputs.

Image provider behavior

auto prefers ElevenLabs. With no mask and no more than four references, it falls back to Nano Banana only when ElevenLabs definitively rejects the submission for credentials, access, quota, rate limit, or invalid parameters. It does not retry or fall back after an ambiguous network failure because that could duplicate a paid generation.
elevenlabs forces ElevenLabs image generation.
nano_banana forces the approved centralized Google image connection.
A successfully generated but visually weak image does not switch providers automatically. Review it, then explicitly refine it or create a new render with the other provider.
Masked generation uses the ElevenLabs final route; masks are not accepted with nano_banana.

Actions

`create_product_mockup`

Required: product_file_ids, scene_prompt.

Useful optional fields: product_description, mockup_style, camera_view, style_reference_file_ids, image_provider, render_mode (draft|final), aspect_ratio, mask_file_id, and brand_constraints.

{"action":"create_product_mockup","product_file_ids":["file_id"],"scene_prompt":"Premium studio hero shot on warm stone with soft side lighting","render_mode":"draft","image_provider":"auto"}

`refine_product_mockup`

Required: source_task_id, instruction. The source must be a completed image job from this tool in the same budget.

{"action":"refine_product_mockup","source_task_id":"task_id","instruction":"Keep the package unchanged; make the background pale gray and soften the contact shadow","render_mode":"final"}

`animate_product_mockup`

Provide exactly one of source_task_id or source_file_id. Video uses ElevenLabs only. Optional controls include motion_preset, motion_prompt, duration_seconds (4|6|8), aspect_ratio (16:9|9:16, default 16:9), resolution, render_mode (preview|final), generate_audio, end_frame_file_id, negative_prompt, and seed.

{"action":"animate_product_mockup","source_task_id":"completed_image_task_id","motion_preset":"slow_push_in","duration_seconds":6,"render_mode":"preview"}

`get_mockup_job`

Required: task_id. Polling an ElevenLabs job also imports a completed provider output into File Manager. Wait at least 2 seconds between image polls and 10 seconds between video polls. Once the task is completed, later polls return the stored output rather than importing it again.

{"action":"get_mockup_job","task_id":"task_id"}

`list_mockup_jobs`

Lists jobs in the current budget. Optional: media_kind, status, page_size, and cursor.

Output

Creation actions return a task_id immediately. Completed jobs contain an outputs array with the provider, model, media kind, and a managed File Manager object containing file_id, generated filename, content_type, size, and signed preview URL. Still images are normalized to PNG; videos are MP4.

About this Product

Turn everyday product photos into studio-quality mockups and videos

Product Mockup Studio is an AI product photography tool that takes the photos you already have, even a quick phone snapshot on a kitchen counter, and produces professional product images and short promotional videos. Describe the scene you want, and your agent handles the render, the revisions, and the animation without a photographer, a studio, or editing software.

Seven product photography styles

Studio hero: premium seamless-background hero shots for landing pages and ads.
Lifestyle: your product placed in a realistic, styled setting.
E-commerce: clean, marketplace-ready images for Shopify, Amazon, and Etsy listings.
Packaging: box, bottle, jar, and label mockups.
Flat lay: overhead arrangements for social media and catalogs.
In hand: scale and use shown with a natural hand-held shot.
Custom: any composition you can describe.

Choose a front, three-quarter, side, top-down, or close-up camera angle, and export in nine aspect ratios: 1:1, 4:5, 3:4, 2:3, 3:2, 4:3, 5:4, 16:9, and 9:16.

Brand-safe by design

Generic AI image generators often scramble logos and label copy. Product Mockup Studio lets you pass brand constraints: the exact text printed on your packaging, your brand colors, the product details that must not change, and elements that must never appear. Add up to three style reference images to match an existing campaign look. As with any generative tool, give logos, labels, and fine product details a final review before you publish.

Draft, refine, finalize

Draft: generate a fast preview to check the concept.
Refine: ask for a focused change such as a lighter background, softer shadows, or a different prop, while the product and composition stay put.
Final: render the approved look at higher fidelity, up to 2K.

Animate approved stills into product videos

Turn any approved image into a short MP4 product clip powered by Google Veo 3.1 through ElevenLabs. Pick a motion preset (slow push-in, product orbit, turntable, light sweep, floating product, or lifestyle motion) or write your own camera direction. Clips run 4, 6, or 8 seconds in landscape 16:9 or vertical 9:16, at 720p, 1080p, or 4K, with optional native sound. Use a fast preview model to test motion, then render the final.

Two image engines

ElevenLabs Image & Video is the default engine. You can also render stills with Nano Banana (Google Gemini image models) to compare looks side by side.

Simple, per-render pricing

Create or refine a mockup image: 25 credits ($0.25)
Animate a still into a video: 10 credits ($0.10)
Check or list jobs: 1 credit ($0.01)

ElevenLabs generation usage is billed to your own ElevenLabs account through your API key.

Who it is for

E-commerce sellers, DTC and Shopify brands, Etsy makers, Amazon sellers, marketing teams, ad agencies, and AI agents that need consistent product visuals and product videos on demand. All outputs are saved to AgentPMT File Manager as PNG images and MP4 videos, ready to download or hand off to your store, ad platform, or next workflow step.

Frequently Asked Questions

How do I connect this tool to an external agent?

You can install the local MCP server by opening a terminal and running:

Install commands

npm install -g @agentpmt/mcp-router
agentpmt-setup

This will connect you to local agents like Claude Code, Windsurf, Grok Build, Cursor, etc.

Alternatively you can connect to the hosted version with this config block, no installation required:

Hosted MCP config

{
  "mcpServers": {
    "agentpmt": {
      "type": "streamable-http",
      "url": "https://api.agentpmt.com/mcp",
      "headers": {
        "Authorization": "Bearer <AGENTPMT_BEARER_TOKEN>",
        "x-instance-metadata": "{\"client\":\"generic-mcp\",\"platform\":\"remote\"}"
      }
    }
  }
}

View MCP Connection Instructions for more details.

How does an external agent use this tool?

After the external agent is connected to an Agent Group that can use this tool, paste this prompt into the agent:

Agent prompt

Use the AgentPMT-Tool-Search-and-Execution tool. First call action 'get_instructions' so you know how to use the tool search interface. Then call action 'get_schema' with tool_id 6aa82f8ef9dfb4fd6eb0d99a ("Product Mockup Studio"). After reading the schema and any returned instructions, tell me what this tool can do, we are going to be using it

The agent should fetch the tool schema first, collect the required parameters for your request, and then call the tool through AgentPMT.

Can it make product videos for TikTok and Instagram Reels?

Yes. Animate any approved still into a vertical 9:16 clip using motion presets such as slow push-in, product orbit, turntable, light sweep, or floating product, or describe your own camera move. Video is generated with Google Veo 3.1 through ElevenLabs, with an optional native audio track.

How long are my generated images and videos stored?

Every output is saved to AgentPMT File Manager with a generated filename and kept for seven days. Download the files or pass them to another tool or workflow step before they expire.

How much does it cost?

Creating or refining a mockup image costs 25 credits ($0.25). Animating an approved image into a video costs 10 credits ($0.10). Checking or listing jobs costs 1 credit. Generation usage on the ElevenLabs side is billed to your own ElevenLabs account.

What do I need to start using Product Mockup Studio?

You need one to five clear photos of your product in PNG, JPEG, or WebP format and an ElevenLabs API key with image and video generation access. Add the key once as a credential in AgentPMT, upload your photos to File Manager or attach them in chat, and describe the scene you want.

What image sizes and video formats are supported?

Still images export as PNG in 1:1, 4:5, 3:4, 2:3, 3:2, 4:3, 5:4, 16:9, or 9:16 aspect ratios, up to 2K in final mode. Videos export as MP4 in 16:9 landscape or 9:16 vertical, 4, 6, or 8 seconds long, at 720p, 1080p, or 4K.

What is the difference between ElevenLabs and Nano Banana in this tool?

ElevenLabs Image & Video is the default engine for stills and the only engine for video. Nano Banana (Google Gemini image models) is an alternate engine for still images, useful when you want to compare a second look for the same product. Masked edits are only available on the ElevenLabs route.

Will the AI keep my logo and label text accurate?

You can pass the exact text printed on your product, your brand colors, the details that must stay the same, and anything that must not appear. The tool uses these constraints to protect brand fidelity, but all generative output should still be checked for logo, label, and product-shape accuracy before you publish it. If something is off, a focused refine request usually fixes it without starting over.

Product Mockup Studio

Available ActionsEach successful request consumes credits as outlined below.

Details

Use Cases

Dynamic MCP Setup

30 Second Setup

Hosted Streamable HTTPS

Config Example

About this Product

Turn everyday product photos into studio-quality mockups and videos

Seven product photography styles

Brand-safe by design

Draft, refine, finalize

Animate approved stills into product videos

Two image engines

Simple, per-render pricing

Who it is for

Frequently Asked Questions

How do I connect this tool to an external agent?

How does an external agent use this tool?

Can it make product videos for TikTok and Instagram Reels?

How long are my generated images and videos stored?

How much does it cost?

What do I need to start using Product Mockup Studio?

What image sizes and video formats are supported?

What is the difference between ElevenLabs and Nano Banana in this tool?

Will the AI keep my logo and label text accurate?

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