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Image_type : Photorealistic_yoga_portrait , Scene : Location : Rocky Mountain

@XSydneyFan··62

{ "image_type": "photorealistic_yoga_portrait", "scene": { "location": "rocky mountain viewpoint", "environment": "misty outdoor landscape with soft mountain silhouettes and sparse trees in the background", "atmospher...

Image_type : Photorealistic_yoga_portrait , Scene : Location : Rocky Mountain — image 1
Image_type : Photorealistic_yoga_portrait , Scene : Location : Rocky Mountain — image 2
Image_type : Photorealistic_yoga_portrait , Scene : Location : Rocky Mountain — image 3
Image_type : Photorealistic_yoga_portrait , Scene : Location : Rocky Mountain — image 4
Prompt
{ "image_type": "photorealistic_yoga_portrait", "scene": { "location": "rocky mountain viewpoint", "environment": "misty outdoor landscape with soft mountain silhouettes and sparse trees in the background", "atmosphere": "calm, peaceful, early morning wellness session", "weather": "light fog with diffused natural light" }, "subject": { "gender": "female", "ethnicity": "South Asian", "age_range": "mid-20s to early-30s", "hair": { "color": "dark brown", "style": "messy high bun with loose strands" }, "expression": "focused, contemplative, relaxed", "pose": "advanced yoga stretch on a yoga mat, seated twist variation holding one foot behind the body" }, "clothing": { "top": { "type": "athletic sports bra", "color": "dusty pink", "fit": "form-fitting performance fabric" }, "bottom": { "type": "high-waisted yoga leggings", "color": "deep plum purple", "fit": "compression fit" } }, "composition": { "framing": "medium portrait", "orientation": "vertical", "camera_angle": "eye level", "crop": "upper body and partial lower body visible", "focus": "sharp focus on subject with blurred background" }, "lighting": { "type": "natural ambient light", "quality": "soft and diffused", "direction": "front-side lighting", "mood": "serene and cinematic" }, "camera": { "camera_model": "Sony A7R V", "lens": "85mm prime lens", "aperture": "f/1.8", "shutter_speed": "1/500s", "iso": 200 }, "visual_style": { "style": "ultra-realistic", "detail_level": "high detail", "skin_texture": "natural realistic skin", "color_grading": "soft earthy tones", "depth_of_field": "shallow DOF", "quality": "8K UHD" }, "keywords": [ "yoga", "fitness", "wellness", "mountain landscape", "mindfulness", "outdoor workout", "athletic lifestyle", "cinematic portrait", "photorealistic", "natural beauty" ] }

How to Use This Prompt

  1. Copy the full prompt text with the copy button above.
  2. Replace any [bracketed] placeholders with your own subject, scene, or details.
  3. Paste it into Gemini / Nano Banana Pro — or hit "Try this Prompt" above to generate here for free — then tweak the wording against the example images.

Style Notes

Photo
Asks the model for photorealistic output — natural lighting, believable skin and materials, camera-like depth of field — rather than illustration or 3D looks.
Hero Portrait
A single dominant subject shot like a key visual — tight framing, strong eye contact or pose, background simplified so the character carries the image.
Cinematic
Film-style rendering — widescreen framing, dramatic lighting contrast, graded colors (often teal-orange), and a sense of narrative in the scene.

FAQ

How do I use this prompt with Gemini (Nano Banana Pro)?

Copy the full prompt with the copy button above, paste it into Gemini or any Nano Banana Pro-powered tool, and compare your result with the example images on this page. You can also click "Try this Prompt" to generate directly on this site — free daily generations, no sign-up needed.

Can I customize "Image_type : Photorealistic_yoga_portrait , Scene : Location : Rocky Mountain"?

Yes. Anything in [brackets] is a placeholder meant to be replaced with your own subject or details, and you can freely adjust subject, lighting, or style keywords — small wording changes often produce noticeably different results.

Which AI models does this prompt work with?

It was originally shared for Google's Gemini image models (including Nano Banana Pro). Most text-to-image models will understand it too, though composition and text rendering quality vary by model.

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