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Detailed prompt for old photo restoration using GPT Image 1.5 — AI Image Prompt

A highly detailed, structured JSON prompt designed for portrait restoration of old photos, comparing the results between Nano Banana Pro and GPT Image 1.5. The prompt focuses on maintaining identity fidelity, enhancing specific details like eyes and skin texture, and controlling lighting and image quality for an ultra-realistic, cinematic result. - AIPinMaker

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Detailed prompt for old photo restoration using GPT Image 1.5
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Prompt

{  "task": "portrait_restoration",  "language": "zh-CN",  "prompt": {  "subject": { "type": "human_portrait", "identity_fidelity": "match_uploaded_face_100_percent", "no_facial_modification": true, "expression": "natural", "eye_detail": "sharp_clear", "skin_texture": "ultra_realistic", "hair_detail": "natural_individual_strands", "fabric_detail": "rich_high_frequency_detail" }, "lighting": { "exposure": "bright_clear", "style": "soft_studio_light", "brightness_balance": "even", "specular_highlights": "natural_on_face_and_eyes", "shadow_transition": "smooth_gradual" }, "image_quality": { "resolution": "8k", "clarity": "high", "noise": "clean_low", "artifacts": "none", "over_smoothing": "none" }, "optics": { "camera_style": "full_frame_dslr", "lens": "85mm", "aperture": "f/1.8", "depth_of_field": "soft_shallow", "bokeh": "smooth_natural" }, "background": { "style": "clean_elegant", "distraction_free": true, "tone": "neutral" }, "color_grading": { "style": "cinematic", "saturation": "rich_but_natural", "white_balance": "accurate", "skin_tone": "natural_true_to_subject" }, "style_constraints": { "no_cartoon": true, "no_beauty_filter": true, "no_plastic_skin": true, "no_face_reshaping": true, "no_ai_face_swap": true } },  "negative_prompt": [  "cartoon", "anime", "cgi", "painterly", "plastic skin", "over-smoothing", "over-sharpening halos", "heavy skin retouching", "face reshaping", "identity drift", "face swap", "beauty filter", "uncanny", "washed out", "color cast", "blown highlights", "crushed shadows", "banding", "jpeg artifacts", "extra fingers", "deformed eyes", "asymmetrical face", "warped features" ],  "parameters": {  "fidelity_priority": "identity", "detail_priority": "eyes_skin_hair_fabric", "realism_strength": 0.95, "sharpening": "micro_contrast_only", "skin_retention": "keep_pores_and_microtexture", "recommended_denoise": "low_to_medium" }  }

Prompt breakdown

Subject
human portrait with exact 100% face match from upload, natural expression, sharp clear eyes, ultra realistic skin texture, natural individual hair strands, rich high-frequency fabric detail
Lighting
bright clear exposure, soft studio light, even brightness balance, natural specular highlights on face and eyes, smooth gradual shadow transitions
Composition
full frame DSLR 85mm lens at f/1.8, soft shallow depth of field, smooth natural bokeh over clean elegant distraction-free neutral background
Style
cinematic color grading with rich but natural saturation, accurate white balance, true-to-subject skin tones, strict bans on cartoon anime cgi painterly plastic skin over-smoothing and beauty filters
Mood
natural realistic preservation of original identity and microtexture without uncanny or retouched effects

Remix ideas

  • Increase realism_strength to 0.98 and set recommended_denoise to low when restoring heavily creased prints to retain more original grain
  • Change background tone to a faint archival paper texture while keeping distraction_free true for period-appropriate context
  • Apply micro_contrast_only sharpening exclusively to eyes and hair when the source shows significant focus loss from age

How to use this AI Image prompt template

  1. AiVideo Maker stepOne1
    Copy the prompt — grab this template’s prompt and negative prompt.
  2. iVideo Maker stepTwo2
    Pick a model — choose a recommended AI model for the best match.
  3. AiVideo Maker stepThree3
    Generate — open the studio with one click and create your result.

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FAQ

Why does this restoration prompt ban face reshaping and identity drift?
It prevents the model from generating an idealized or altered likeness and ensures the output stays a true match to the uploaded original face.
What upload preparation works best with the identity_fidelity setting here?
Provide a clear front-facing scan and keep fidelity_priority set to identity with skin_retention on keep_pores_and_microtexture for faithful detail recovery.