Self-Portrait in Photography and Charcoal: Transform a user-provided portrait reference into a surreal mixed-media portrait at the intersection of photography an…
Source reference image

Image · GPT Image 2.0

Self-Portrait in Photography and Charcoal

Transform a user-provided portrait reference into a surreal mixed-media portrait at the intersection of photography and charcoal drawing, depicting the visual loop of a person drawing their own outline by hand.

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Prompt

Using uploaded face as reference. 
A mind-bending surrealist mixed-media portrait featuring uploaded face as reference, captured in a pristine studio setting with a neutral gradient grey background and soft, diffuse softbox lighting. The composition utilizes a split-reality technique where the left side of the subject is rendered in hyper-realistic 8k photography with visible skin pores, subsurface scattering, and lifelike textures, while the right side abruptly transitions into a rough, gestural charcoal and graphite pencil sketch on white paper. The subject's realistic right hand crosses the chest, holding a yellow wooden pencil with a sharp tip, physically drawing the sketched outline of the jaw and neck, creating a meta-fictional loop of self-creation. The subject wears a dark charcoal long-sleeve crewneck shirt that morphs from heavy, draped fabric on the left into loose, scribbled hatch lines and unfinished contour strokes on the right.

The image features a shallow depth of field focused on the pencil tip and the transition line, combining the aesthetics of high-end commercial portraiture with raw, artistic sketching, reminiscent of Ben Heine's 'Pencil vs Camera' style, highly intricate textures, volumetric lighting, and photorealistic raytracing.

How to use

Usage suggestion: First upload a clear portrait photo that you are authorized to use, then use the prompt in an image-generation tool that supports image references. Adjust the sketch texture, clothing, and background colors as needed.

Details

Type
Image
Model
GPT Image 2.0
Source
M Amir
License
© the author
Published

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