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Realistic Fisherman in Minecraft Lake preview image
Primary reference image

Realistic Fisherman in Minecraft Lake

Generates a realistic person fishing within a bright Minecraft-style voxel lakeside scene for surreal photo-to-game transformations.

This is a GPT Image 2 prompt case for Portrait & Character. Use the copy-ready prompt below to generate similar visuals, and review Awesome GPT Image 2 Prompts attribution plus commercial-use rights before reuse.

Need the full prompt set? Use the Portrait & Character topic hub for more related examples, or open the GPT Image 2 prompt library for the full example index, reusable structures, and source attribution.

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Prompt

Copy-ready prompt

Create a photorealistic Minecraft-style screenshot showing {argument name="main subject" default="an adult man fishing from a folding camping chair"} beside a calm lake. Keep the human subject realistic and unchanged in proportions and clothing, but transform the entire environment into a bright blocky voxel world inspired by Minecraft. The scene is viewed from behind and slightly above the seated person on the lower left foreground: he wears a light beige wide-brim sun hat, dark gray T-shirt, dark shorts, and black sneakers, holding a long thin fishing rod angled diagonally out over the water. He sits on a black collapsible camping chair on a stepped grassy dirt block shoreline. Surround him with tall square reeds and pixelated grass. The lake fills the right half of the image, with transparent blue blocky water, subtle square reflections, exactly 7 visible green lily pads scattered on the surface, and small white square highlights. Across the lake is a dense voxel forest with oak and birch trees, layered grassy banks, dirt blocks, trunks, leaves, and undergrowth. The sky is vivid clear blue with exactly 13 rectangular white block clouds at different sizes and distances. Use crisp sunlight, saturated greens and blues, realistic lighting and shadows, high-resolution game screenshot quality, strong contrast between the realistic person and the fully Minecraft-like environment, no UI, no text, no watermark.

Prompt variables

Editable argument placeholders found in the prompt, with their default values.

1
Variable
main subject
Default
an adult man fishing from a folding camping chair

Best for

  • - Portrait & Character visual exploration
  • - Image generation and reference-image edits
  • - Reusable briefs that keep source attribution visible

Change these parts

  • - Subject, product, character, or scene
  • - Aspect ratio, camera, lighting, and background
  • - Brand, text, color, and output constraints

Recommended model and settings

  • - Model: gpt-image-2
  • - Input mode: Image to Image
  • - Aspect ratio: source
  • - Commercial status: review original source

How to use this prompt

  1. 1. Copy the prompt and preserve its structure for the first test.
  2. 2. Replace the subject, context, and publishing channel.
  3. 3. Change one camera, lighting, or style variable per iteration.
  4. 4. Inspect the output, source, text, and rights before reuse.

Limitations, source, and reuse cautions

  • - Generated output is an editable draft, not factual, legal, or rights evidence.
  • - Review the linked source, people, brands, logos, text, and third-party media before commercial use.
Imported from Awesome GPT Image 2 Prompts. Attribution is required. Commercial-use status is allowed; review source rights before paid usage.

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Reuse and source notes

Use this prompt safely after previewing the case.

  1. 1.Copy the prompt or open it directly in Dovoo with the generation button.
  2. 2.Adjust variables, aspect ratio, and reference images for your own use case.
  3. 3.Before publishing or paid usage, verify source rights, attribution requirements, and brand or likeness risks.

Can I use this prompt commercially?

Commercial-use status is allowed. Review the original source, license, brand constraints, and legal requirements before paid usage.

Where does this case come from?

This case is imported from Awesome GPT Image 2 Prompts; keep attribution visible and check the source URL before reuse.

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