Product → sneaker macro hero

Low-key studio lighting, glossy reflective surface, smoke wisps.

High-end product photograph generated from a sneaker photo via MCP Media Engine img2img.

job: mjob_9d05bd4b-ef94-47ba-9d1f-99031867d0e7

The prompt

Verbatim. Paste this into your agent — Claude, ChatGPT, Cursor, or Hermes — and it will submit the job via MCP Media Engine.

transform the sneaker into a high-end product photograph, dramatic low-key studio lighting, glossy reflective surface, subtle smoke wisps, ultra-sharp macro detail, luxury campaign aesthetic, no text, no logos, no brand marks

Run it in 3 steps

01 · install + key

Wire MCP Media Engine into your agent

Get a key at app.mcpmediaengine.com and set the env var.

npx -y mcp-media-engine

# set MEDIAENGINE_API_KEY in your env
# get a key at https://app.mcpmediaengine.com

02 · attach photo

Drop your image into the chat

Selfie, pet, product, or room — attach to your agent or paste any image URL.

# either:
# • attach the image to your agent chat
# • paste any image URL in the prompt

input_image_url: "https://your-image-url.jpg"
denoising_strength: 0.65  # recommended for img2img

03 · paste prompt

Run the prompt

The agent submits the job and returns the asset URL.

prompt: "transform the sneaker into a high-end product photograph, dramatic low-key studio lighting, glossy reflective surface, subtle smoke wisps, ultra-sharp macro detail, luxury campaign aesthetic, no text, no logos, no brand marks"
aspect_ratio: "1:1"
model: "nano-banana"

Model + credits

model

Default Image

credits per call

1 credit

aspect ratio

1:1

Live model catalog: /models. Credit costs surfaced at request time and echoed in the response.

Works in

This prompt is designed to run in any of these MCP-compatible agents. The wiring is the same — only the agent UI changes.

Claude

ChatGPT

Cursor

Hermes

Best for

ICP: brands/content teams remaking ecommerce photography at scale.

Frequently asked

Where did the example image come from?▶

Generated via POST /api/jobs (image, nano-banana, denoising 0.6). Job ID mjob_9d05bd4b-ef94-47ba-9d1f-99031867d0e7. Verified output at api.mcpmediaengine.com.