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Rangoli doorway AI photo prompt — full-length Diwali frame
The rangoli doorway frame — standing at a lamp-lined threshold with a coloured rangoli at your feet, shot full length. Copy this free ChatGPT & Gemini prompt, upload one photo, and it keeps your own face.
Use my uploaded portrait as the primary and exact facial-identity reference. Create a vertical 9:16 photorealistic full-length Diwali photograph of me standing at the open doorway of an Indian home at night.
Preserve my face exactly as it appears in the reference photograph. Retain the original facial structure, eye shape, eyebrows, nose, lips, smile, teeth, jawline, cheeks, skin tone, skin texture, pores, facial hair, hairline, age, natural asymmetry, marks and other identifying details. Do not redesign, beautify, smooth, reshape or reinterpret my face. The result must remain unmistakably the same person.
Frame me head to toe, standing just inside or just outside the threshold, body angled slightly away from the camera and face turned towards it. Keep my full height and build consistent with the reference photograph.
At my feet and spreading across the threshold, place a detailed hand-drawn rangoli in coloured powder: concentric floral geometry in marigold orange, deep pink, white and green, with the texture of loose powder rather than paint. Edge the rangoli and the doorframe with small lit clay diyas, each with a single correct steady flame.
Dress me in a well-fitted traditional Indian festive outfit appropriate to my apparent gender in the reference photograph, in a deep jewel tone, with realistic fabric weave and natural creasing, and simple footwear.
Light the scene from the diyas below and a warm practical light inside the doorway behind me, with cool blue night air outside for contrast. The doorway should carry a marigold and mango-leaf toran across the top.
Smartphone photography, warm Diwali atmosphere, authentic Indian festive aesthetic, realistic skin texture, realistic powder texture in the rangoli, high detail, natural contrast, high-resolution photographic result.
Do not generate lettering or a watermark.
NEGATIVE PROMPT
altered identity, different person, face swap artifacts, changed facial proportions, beautified face, plastic skin, excessive skin smoothing, changed eye shape, changed nose, changed lips, changed jawline, artificial smile, incorrect teeth, extra teeth, distorted mouth, asymmetrical eyes, duplicated features, de-aged face, aged face, different hairstyle, changed skin tone, cartoon face, painting, illustration, 3D render, waxy texture, blurred face, low-detail face, oversharpening, excessive HDR, blown-out highlights, melted candle wax, malformed diya, floating flame, doubled flame, incorrect anatomy, extra fingers, visible seam, collage border, illegible generated text, logo, watermark
SETTINGS FOR MAXIMUM FACE PRESERVATION
Use image-to-image or reference-image editing, not text-only generation.
- Keep denoise or transformation strength around 0.15-0.30.
- Set identity/reference strength high, around 80-95%, where supported.
- Mask or protect the entire face, hairline and visible ear.
- Generate or replace only the clothing, lighting and surroundings.
- Disable automatic face enhancement, beauty filters and skin smoothing.
- Add any caption separately after generation for clean, accurate typography.
About this prompt
This is a face-reference, identity-preserving AI prompt for the one full-length frame in the Diwali set. You upload one clear photo of your face, and the model builds you head to toe at a decorated threshold, with a powder rangoli at your feet and diyas edging the doorframe.
Because it is full length, this is the Diwali prompt where the clothes actually matter — the outfit occupies most of the frame rather than a collar at the bottom of a close-up. The prompt asks for realistic weave and natural creasing for that reason: fabric that renders flat is what makes a generated full-length shot look generated.
It is tuned for identity-locked, image-to-image tools: ChatGPT (image mode), Google Gemini, Nano Banana and similar, and built as a 9:16 vertical.
How to use it
- Tap Copy prompt above.
- Open ChatGPT (image generation), Google Gemini or Nano Banana in image-to-image / reference mode, paste the prompt, and attach one clear, front-facing, well-lit photograph.
- Generate at the ratio named in the prompt.
- Re-run once or twice — the first result is rarely the best one.
The three ways this goes wrong
- The face loses detail. In a full-length frame your face is a small part of the image, so there is less pixel budget for it. Upload the sharpest front-facing photo you have, and consider generating once at a tighter crop as well if you want a version where the face reads clearly.
- The rangoli looks painted. Powder has a loose, slightly uneven edge; paint does not. The prompt asks for powder texture specifically. If it still comes out flat, re-run before accepting it.
- The body does not match you. A face-only reference gives the model nothing to go on below the neck, so it invents a build. If that matters to you, upload a photograph that shows more than your face.
Tips for the best result
- Say the face lock rather than set it. ChatGPT, Gemini and Nano Banana have no transformation-strength or identity-strength control — the prompt's settings block is written for image-to-image apps that do, where a denoise or strength slider around 0.15–0.30 is a sensible start. Everywhere else the control is the sentence: keep my exact face, build only the scene around me, do not restyle my features.
- There is no beautify switch to turn off in those three tools either. The one that matters sits on the phone camera or gallery app that took your reference photo — upload the unretouched original, because AI image tools have a well-known habit of building on whatever smoothing is already in the file.
- Use a sharp, front-lit photo so the face lock has clear features to hold.
- Add any caption afterwards in your editor rather than asking the model for text, which is why the prompt forbids generated lettering.
Want the face to read larger? The diya portrait is a close-up lit by the lamps themselves. For two people, use the Diwali couple portrait. All six looks are in the Diwali AI photo editing prompts roundup, or browse the full AI photo prompts library.
Frequently asked questions.
What is the rangoli doorway AI photo prompt?
It is a copy-paste AI image prompt for a vertical 9:16 full-length Diwali photograph of you standing at the lit doorway of an Indian home, with a coloured powder rangoli at your feet and clay oil lamps edging the threshold. You upload one photo and the prompt keeps your real face while building the doorway, the rangoli, the lamps and your outfit.
Why is my face less sharp in this one?
Because it is a full-length frame, your face occupies a much smaller part of the image than it does in a close-up, so there is less detail available for it. Upload the sharpest, best-lit front-facing photograph you have. If you want a version where the face reads clearly as well, generate a tighter portrait separately rather than cropping into this one.
Will it get my height and build right?
Only roughly. A photograph showing just your face gives the model nothing to work from below the neck, so it invents a build. If that matters, upload a reference that shows more of you, and expect to re-run a few times.
Can I use this without a real rangoli or doorway?
Yes. The rangoli, the lamps, the toran and the doorway are all built by the prompt around the face in your uploaded photograph, so an ordinary indoor photo is enough to start with.
Is the rangoli doorway prompt free?
Yes, the prompt is free to copy and use. You only need an AI image tool such as ChatGPT, Google Gemini or Nano Banana and one clear photo of yourself. There is nothing to buy.
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