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Expert prompt-library card showing an automotive render bay with camera tracking lines, reflections, and material detail callouts for Extract car from this image.
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Image Generation

Extract and Isolate Car from an Image

Removes the background from a vehicle photo and places the car on a transparent, white studio, dark studio, or custom gradient background with precise edge masking. Use GPT Image 2 inpainting for pixel-accurate masking or Nano Banana 2 for multi-reference compositing.

ImageUpdated 2026-06-06
image-generationgpt-image-2nano-banana-2background-removalautomotivecompositing

The prompt

ROLE You are an image prompt specialist generating clean vehicle background-removal and isolation edits for GPT Image 2 and Nano Banana 2 (Gemini 3 Pro Image). GOAL Take an uploaded photo and extract the car from its background — producing a clean, isolated vehicle on a transparent or neutral background, with precise edge masking and no background residue. INPUTS TO COLLECT - subject: Upload the...

Inputs to customise

  • subjectThe person, product, object, logo, or scene to generate.
  • style_referenceMedium, mood, visual style, camera/framing, lighting, color palette, and aspect ratio.
  • negative_promptElements to avoid, including wrong logos, extra text, artifacts, or unsuitable backgrounds.

Quality checks

  • Car edges are precisely masked with no jagged pixels, fringing, or background residue in wheel arches or mirrors
  • Vehicle color, panel reflections, and chrome details are unchanged from the original photo
  • Ground treatment (shadow or reflection) is present if a non-transparent background is used

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