Casual Bedroom Portrait
Ratio 3:4Image-to-Image
Creator Reference:@Vivekhy
Original Post

Casual Bedroom Portrait

Copy this Nano Banana Pro reference-guided prompt to create fashion portraits in indoor scenes with photorealistic detail and moody contrast. Best in 3:4...

Master PromptClick to select all

{ "subject": { "type": "Young woman", "hair": "Long, dark brown, wavy texture, styled in a half-up look", "expression": "Soft smile, direct eye contact with the camera", "skin_tone": "Fair" }, "attire": { "main_garment": "Black sleeveless dress with spaghetti straps", "details": "Plunging neckline, high thigh slit on the left side", "accessories": "White smartwatch with a silicone band on the left wrist", "footwear": "Barefoot" }, "pose": { "position": "Sitting on the edge of a bed", "body_language": "Leaning back slightly, supporting weight on left hand", "legs": "Left leg extended forward toward the camera (perspective foreshortening), right leg bent and tucked slightly under", "hands": "Right hand resting gently on the left thigh" }, "environment": { "setting": "Bedroom interior", "furniture": [ "Bed with white textured duvet/comforter", "Beige upholstered headboard", "Gold metal side table with glass top" ], "flooring": "Light wood laminate or parquet", "background_details": "White walls with decorative molding/wainscoting" }, "technical_aspects": { "lighting": "Soft, warm indoor lighting, diffused shadows", "camera_angle": "Slightly high angle, capturing full body", "style": "Realistic, casual portrait, influencer/social media aesthetic" } }

Optimal Generation Parameters
Aspect Ratio
3:4
ModelNano Banana Pro
Aesthetic KeynotesPhotorealistic, Moody, Fashion, Reference-Guided

Test & Generate with GPT Image 2

Prompt tokens and APIMart GPT Image 2 are pre-loaded. Customize or click generate.

GPT Image 2 生成器

Casual Bedroom Portrait
Nano Banana 2
Creative Blueprint & Recipe Breakdown

How to Master & Adapt This Visual

Professional prompts rely on modular tokens. Use this recipe breakdown to swap subjects, control studio lighting, and eliminate common AI artifacts.

Prompt Variables Blueprint (What to Customize First)

Iterate on one variable group at a time to maintain stylistic consistency:

1Change the subject block first: { "subject": { "type": "Young woman", "hair": "Long, dark brown, wavy texture, styled in a half-up look",...
2Adjust the mood through light and backdrop cues: { "subject": { "type": "Young woman", "hair": "Long, dark brown, wavy texture, styled in a half-up look",...
3Keep the finish constraints aligned while you test variants: { "subject": { "type": "Young woman", "hair": "Long, dark brown, wavy texture, styled in a half-up look",...

3 Style Recipes

Swap the subject, keep the frameRecipe #1

Replace { "subject": { "type": "young woman", "hair": "long, dark brown, wavy texture, styled... with your own subject while leaving the camera and composition cues intact.

Retune the mood, not the structureRecipe #2

Keep the subject block, then rewrite { "subject": { "type": "young woman", "hair": "long, dark brown, wavy texture, styled... to move the image into a new lighting setup.

Push the restyle with a cleaner referenceRecipe #3

Start from a sharper or more contrasty source image, then edit finish descriptors only after subject preservation is stable.

Production Quality Guide: Best Use vs. Pitfalls

Ideal Use Cases (Where it Shines)
  • •Portrait studies, beauty concepts, and tightly framed editorial references.
  • •Reference-image workflows where identity, product shape, or silhouette should survive the restyle.
  • •Realism-heavy outputs where believable materials, skin, or product finishes need to hold up in close view.
  • ✓Start with a sharp reference image. This prompt is written to preserve source identity, silhouette, or product structure before stylization.
  • ✓Use 3:4 on the first run, then test alternate crops after the base composition is working.
  • ✓Lock the environment before fine styling changes: { "subject": { "type": "Young woman", "hair": "Long, dark brown, wavy texture, styled in a half-up look",...
Pitfalls to Avoid (Common Mistakes)
  • !Ignoring the recommended 3:4 crop on the first run. The prompt's composition cues were written for that frame.
  • !Using a muddy reference image and expecting the prompt to repair identity, silhouette, or packaging structure on its own.
  • !Dropping the lighting or backdrop cues too early. Those clauses usually carry most of the mood and depth.
  • ✕Skip if: You need a wide environment shot or multiple subjects competing for attention in the same frame.
  • ✕Skip if: You need to begin with a radically different crop than 3:4 instead of honoring the existing composition hints.
  • ✕Skip if: Your reference image is low-resolution, badly lit, or cluttered enough to break subject preservation.

Technical Analysis & How This Prompt Works

Copy this Nano Banana Pro reference-guided prompt to create fashion portraits in indoor scenes with photorealistic detail and moody contrast. Best in...

Use a clean reference image with obvious subject edges and readable facial or product details before you start changing the styling. Keep the generator on 3:4 for the closest match. The mood is anchored by { "subject": { "type": "young woman", "hair": "long, dark brown, wavy texture, styled in a half-up look",...

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