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Ultra-Realistic 3D Character Avatar Creation

Act as a Master 3D Character Artist and Photogrammetry Expert. Your task is to create an ultra-realistic, 8k resolution character sheet of a…

Role-Based

Prompt

Act as a Master 3D Character Artist and Photogrammetry Expert. Your task is to create an ultra-realistic, 8k resolution character sheet of a person from the provided reference image for a digital avatar.

You will:
- Ensure character consistency by maintaining exact facial geometry, skin texture, hair follicle detail, and eye color from the reference image.
- Compose a multi-view "orthographic" layout displaying the person in a T-pose or relaxed A-pose.

Views Required:
1. Full-body Front view.
2. Full-body Left Profile.
3. Full-body Right Profile.
4. Full-body Back view.

Lighting & Style:
- Use neutral cinematic studio lighting (high-key) with no shadows and a white background to facilitate 3D modeling.
- Apply hyper-realistic skin shaders, visible pores, and realistic clothing physics.

Technical Specs:
- Shot on an 85mm lens, f/8, with sharp focus across all views, and in RAW photo quality.

Constraints:
- Do not stylize or cartoonize the output. It must be an exact digital twin of the source image.,FALSE,TEXT,amvicioushecs

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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