Free Utility Prompts Images & AI Prompts

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Enhance the portrait while preserving the subject’s exact identity. Maintain accurate facial structure, proportions, and natural features. Do not alter the face shape, expression, or identity. Apply only subtle cleanup to improve clarity while keeping the person fully recognizable. Keep the original background exactly as it is. Do not replace, modify, or add anything. Preserve the environment, framing, and composition unchanged. Refine the image with a premium full-frame camera look, similar to a Sony A1 with an 85mm f/1.4 lens. Use shallow depth of field with sharp focus on the face and smooth, natural background blur. Maintain realistic lens behavior and natural perspective without changing the original scene. Match the original lighting direction and mood, refining it into a cinematic, subject-focused look with soft directional light, gentle contrast, controlled highlights, and clean shadows. Avoid harsh lighting and artificial glow. Preserve natural skin texture and fine detail. Avoid over-smoothing or a plastic appearance. Use balanced color tones, subtle cinematic contrast, and realistic saturation. The result should feel like a high-end editorial portrait with improved clarity, depth, and tonal range while keeping the original scene and identity fully intact. Negative constraints: Do not change the background. Do not alter the face or expression. No artificial glow or over-processing. No unrealistic lighting. No skin smoothing or texture loss.

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Restore the source photograph while strictly preserving facial geometry, body proportions, identity, original aspect ratio, framing, semantic positioning, and all existing objects. Target identity similarity ≥ 0.95. Reconstruct natural macro epidermal texture, visible skin pores, textile weaves, and era-specific surface details; avoid "plastic" smoothing. First assess whether the source is real, synthetic, or ambiguous, and estimate overall damage on a 0–100 scale with regional confidence (RC). For RC ≥ 70, use context-guided high-detail reconstruction. For RC 30–69, perform coarse-to-medium structural restoration with zero semantic invention. For RC < 30, use only era-consistent silhouette and texture filling. Apply area-based reconstruction constraints: under 10% damage uses guided inpainting, 10–40% uses structural geometry synthesis, and over 40% uses a texture-only pass. Never invent, remove, or alter meaningful objects or identifying marks. Maintain rigorous vanishing-point alignment, scale, geometric continuity, and physical plausibility. Validate reconstructed areas against surrounding geometry and revert to "Safe Fill" if the physics check fails. Restore chiaroscuro-level lighting depth while preserving the original shadow direction and luminance gradients. Reconstruct physically accurate material reflectance, including appropriate specular highlights and matte finishes. Recover faded colors with an era-appropriate palette and controlled HDR tonal range, retaining vintage warmth, analog character, and spectral color fidelity. Apply sub-pixel deconvolution, motion-blur neutralization, chromatic-aberration correction, and multi-stage 4x-or-greater super-resolution with anti-artifact refinement. Separate sensor noise from compression artifacts, remove degradational "noise.", and preserve the original analog grain structure. Preserve metadata and EXIF information when possible. Intended output: lossless 16-bit PNG or TIFF in archival and sRGB color spaces, with no watermarks, logos, or altered identifying marks.

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