What visual goals is this prompt best for?

Portrait studies, beauty concepts, and tightly framed editorial references. Reference-image workflows where identity, product shape, or silhouette should survive the restyle. Cinematic, mood-first outputs where light direction carries a lot of the final image quality.

What common mistakes should be avoided when using this prompt?

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.

What are the recommended aspect ratio and settings?

Recommended aspect ratio is 3:4 using Nano Banana Pro. Negative prompt filters include: ugly, deformed, low quality, blurry, text, watermark, worst quality, low res.

Prompt Showcase/Cozy Winter Train Portrait

Verified Prompt Recipe

Ratio 3:4Image-to-Image

Creator Reference:@ZaraIrahh

Original Post

Cozy Winter Train Portrait

straight hair worn loose, tucked slightly under a winter hat

Master PromptClick to select all

{ "image_prompt": { "reference": { "face_identity": "uploaded reference image", "identity_lock": true, "face_preservation": "100% identical facial structure, proportions, skin texture, eye shape, lips, nose, brows, moles, and natural expression" }, "subject": { "type": "young woman", "expression": "soft, relaxed smile with calm eyes", "gaze": "looking gently toward the camera", "pose": { "position": "leaning out of a train window", "arms": "both arms resting comfortably on the window frame", "posture": "relaxed and cozy, upper body slightly leaned forward" } }, "hair": { "color": "dark brown", "style": "straight hair worn loose, tucked slightly under a winter hat" }, "headwear": { "type": "white knitted beanie", "details": "soft knit texture, winter style" }, "makeup": { "style": "natural winter makeup", "details": [ "even fair skin tone", "light blush", "soft eyeliner", "natural lashes", "subtle pink lips" ] }, "outfit": { "clothing": [ "cream or off-white cozy winter sweater" ], "fabric": "soft warm knit suitable for cold weather" }, "environment": { "location": "inside a red panoramic train traveling through snowy mountains", "background_elements": [ "snow-covered pine trees", "mountain slopes blanketed in snow", "curving red train cars visible behind", "thick snow piled along the tracks" ], "season": "winter alpine landscape" }, "lighting": { "type": "natural cold daylight", "characteristics": [ "soft diffused light", "cool winter tones", "gentle highlights on the face", "natural shadows" ] }, "photography_style": { "style": "cinematic travel portrait", "camera_look": "DSLR-style photography", "depth_of_field": "moderate depth of field keeping subject sharp with scenic background", "mood": "peaceful, cozy, adventurous, winter travel aesthetic" }, "render_quality": { "realism": "highly photorealistic", "detail_level": "high", "skin_texture": "natural and realistic", "resolution": "high resolution", "color_grading": "cool winter tones with soft contrast" } } }

Optimal Generation Parameters

Aspect Ratio

3:4

ModelNano Banana Pro

Aesthetic KeynotesPhotorealistic, Cinematic, Moody, Fashion

#portrait #cinematic #peaceful #winter #travel #realistic #landscape #fashion

Test & Generate with GPT Image 2

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

"subject": {
      "type": "young woman",
      "expression": "soft, relaxed smile with calm eyes",
      "gaze": "looking gently toward the camera",
      "pose": {
        "position": "leaning out of a train window",
        "arms": "both arms resting comfortably on the window frame",
        "posture": "relaxed and cozy, upper body slightly leaned forward"
      }
    },

"hair": {
      "color": "dark brown",
      "style": "straight hair worn loose, tucked slightly under a winter hat"
    },

"headwear": {
      "type": "white knitted beanie",
      "details": "soft knit texture, winter style"
    },

"makeup": {
      "style": "natural winter makeup",
      "details": [
        "even fair skin tone",
        "light blush",
        "soft eyeliner",
        "natural lashes",
        "subtle pink lips"
      ]
    },

"outfit": {
      "clothing": [
        "cream or off-white cozy winter sweater"
      ],
      "fabric": "soft warm knit suitable for cold weather"
    },

"environment": {
      "location": "inside a red panoramic train traveling through snowy mountains",
      "background_elements": [
        "snow-covered pine trees",
        "mountain slopes blanketed in snow",
        "curving red train cars visible behind",
        "thick snow piled along the tracks"
      ],
      "season": "winter alpine landscape"
    },

"lighting": {
      "type": "natural cold daylight",
      "characteristics": [
        "soft diffused light",
        "cool winter tones",
        "gentle highlights on the face",
        "natural shadows"
      ]
    },

"photography_style": {
      "style": "cinematic travel portrait",
      "camera_look": "DSLR-style photography",
      "depth_of_field": "moderate depth of field keeping subject sharp with scenic background",
      "mood": "peaceful, cozy, adventurous, winter travel aesthetic"
    },

"render_quality": {
      "realism": "highly photorealistic",
      "detail_level": "high",
      "skin_texture": "natural and realistic",
      "resolution": "high resolution",
      "color_grading": "cool winter tones with soft contrast"
    }
  }
}

Cozy Winter Train 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: { "image_prompt": { "reference": { "face_identity": "uploaded reference image", "identity_lock": true,...

2Adjust the mood through light and backdrop cues: { "image_prompt": { "reference": { "face_identity": "uploaded reference image", "identity_lock": true,...

3Keep the finish constraints aligned while you test variants: { "image_prompt": { "reference": { "face_identity": "uploaded reference image", "identity_lock": true,...

3 Style Recipes

Swap the subject, keep the frameRecipe #1

Replace { "image_prompt": { "reference": { "face_identity": "uploaded reference image",... 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 { "image_prompt": { "reference": { "face_identity": "uploaded reference image",... 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.
•Cinematic, mood-first outputs where light direction carries a lot of the final image quality.
✓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: { "image_prompt": { "reference": { "face_identity": "uploaded reference image", "identity_lock": true,...

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

straight hair worn loose, tucked slightly under a winter hat. Best in 3:4. Built for reference-image workflows.

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 { "image_prompt": { "reference": { "face_identity": "uploaded reference image", "identity_lock": true,...

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