docs: Add photorealistic aging portrait example

Shows multi-panel consistency for photorealistic people:
- JSON structure with face preservation
- Same person at ages 10, 20, 40, 80
- Heterochromia + freckles maintained across panels
- Real generated result

Also added to SKILL.md intro examples.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Matt Van Horn
2026-01-24 16:28:15 -08:00
parent 7f1ab7a2e9
commit 6831e624b8
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@@ -277,6 +277,69 @@ This prompt was generated based on research from 10 Reddit threads (294 upvotes)
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## Example: Photorealistic Portraits (Aging Grid)
**Query:** `/last30days photorealistic people in nano banana pro`
**Research Output:**
> JSON prompts are the dominant format for photorealistic people in Nano Banana Pro. Nearly every viral X post (4,400+ likes total) uses structured JSON with specific fields rather than natural language. The key is specifying demographics, skin texture, lighting, and camera settings in a structured way.
>
> Recent caveat: Reddit reports Nano Banana Pro was "nerfed" in early January 2026 with reduced resolution and stricter moderation on faces. Starting a new chat can help if quality drops mid-session.
**Key patterns discovered:**
1. JSON structure with prompt_type, subject, lighting, camera_settings fields
2. Skin texture keywords: "natural pores", "realistic skin texture", "8K texture quality"
3. Face preservation: "preserve_original": true when using reference photos
4. Camera realism: specify lens (85mm f/1.4), depth of field, lighting setup
5. Wet skin close-ups are trending for maximum realism
6. Negative prompts: "no cartoon effect, no distortion, correct anatomy"
**Then asked:** "2x2 grid of the same person at age 10, 20, 40 and 80 - a woman with brown hair and a lot of freckles and cat eyes that are a different color"
**Generated Prompt:**
```json
{
"prompt_type": "Ultra-Photorealistic Multi-Panel Portrait",
"layout": "2x2 grid, seamless white dividers",
"aspect_ratio": "1:1",
"consistency": {
"same_person": true,
"preserve_features": ["bone structure", "freckle pattern", "eye shape", "heterochromia"]
},
"subject": {
"identity": "Same woman shown at 4 life stages",
"distinctive_features": {
"eyes": "Almond-shaped cat eyes with heterochromia - one green, one amber",
"skin": "Fair complexion densely covered in natural freckles across nose, cheeks, and forehead",
"hair": "Brown hair, natural texture"
}
},
"panels": [
{"position": "top-left", "age": 10, "expression": "curious childhood smile", "hair": "long brown hair with bangs"},
{"position": "top-right", "age": 20, "expression": "confident young adult", "hair": "shoulder-length brown hair"},
{"position": "bottom-left", "age": 40, "expression": "warm maternal gaze", "hair": "brown hair with subtle highlights"},
{"position": "bottom-right", "age": 80, "expression": "wise gentle smile", "hair": "silver-gray, formerly brown"}
],
"lighting": "Soft natural window light, consistent across all panels",
"camera": "85mm portrait lens, shallow depth of field, neutral background",
"texture_quality": "8K, natural skin texture with visible pores, realistic freckle detail",
"negative": "no cartoon effect, no airbrushed skin, no symmetrical freckles, maintain heterochromia in all panels"
}
```
**The Result:**
<p align="center">
<img src="assets/aging-portrait.jpeg" width="500" alt="Aging portrait grid - same woman at 10, 20, 40, and 80"/>
</p>
Same freckles. Same heterochromia. Same bone structure. Four life stages in one coherent image.
This example shows /last30days learning **advanced image generation patterns** (multi-panel consistency, face preservation across variations) and applying them to create a complex composite image.
---
## Example: Best Rap Songs Right Now
**Query:** `/last30days What are the best rap songs lately`