Flare Text-to-Image Portraits: A Side-by-Side Comparison of Realistic and Artistic Styles
Using the Flare variant of gpt-image-2.5 as the generation pipeline, this demonstrates how the same subject, "portrait," differs under two prompt orientations: one end is a realistic portrait close to studio lighting, and the other is an artistic treatment with a painterly texture. Through fixed composition descriptions and explicit texture and lighting vocabulary, the work lets developers understand through comparison exactly what the prompt controls—the material expression of skin and hair strands, the direction and softness/hardness of the light source, depth of field, and color orientation. It uses a 2:3 vertical composition and 2K resolution, making it suitable as a prompt starting point for portrait applications, character assets, and visual prototype validation; the resolution and aspect_ratio in the Schema are explicit optional parameters, and background only takes effect at 1K, so this example no longer sets a separate background mode.
Style Portrait & Photography · Photorealistic · Prompt Reference
Model GPT Image 2.5
Prompt
A side-by-side comparison demonstration of two portrait renders of the same subject displayed together in one image: on the left is a photo-realistic studio portrait of a young woman, with natural skin texture, fine loose strands of hair, soft key light from a large soft light source at a 45-degree angle, subtle fill light and gentle light falloff into the shadows, shallow depth of field, a neutral gray seamless background, and low-saturation color grading; on the right is the same subject rendered as an expressive painterly portrait, with visible brushstrokes, warm amber and ochre tones, looser edges, a textured canvas feel, and dramatic chiaroscuro lighting. Vertical 2:3 composition, upper body, three-quarter turn, calm neutral expression, eyes looking at the camera. Emphasize the expression of light, materials, and surface details rather than beautification.
Copy the full prompt and adapt it for your own generation.
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