Shobha Yatra Procession Photo
Upload your own photo and Gemini or ChatGPT edits it into the street procession with saffron flags, a decorated float and chanting devotees — your real face stays. Documentary energy over a posed shot — this is what a real Ram Navami shobha yatra looks like.
This prompt edits your own photo instead of drawing a new person. Upload a clear, well-lit selfie into the AI tool first, then paste this prompt alongside it — the model keeps your face and changes everything around it.
Your details
Your prompt
Edit the uploaded photo — do not generate a new face or a different person. Keep the exact facial identity from the reference photo completely unchanged: same face shape, same eyes, same eyebrows, same nose, same lips, same jawline, same skin tone, same hairline, and any visible moles or marks. Keep the exact same body type, height, and build — do not slim, bulk up, or reshape the body in any way. The subject is 24 years old. Preserve natural, realistic skin texture with visible pores and fine detail, natural minor asymmetry, and a completely unedited look — no beauty filter, no skin smoothing, no airbrushing, no plastic or waxy skin, nothing that looks artificially perfect or AI-generated. This must read as a real, untouched photograph of this exact person, with only the setting changed. Place them walking in a Ram Navami shobha yatra procession, saffron flags fluttering all around, a decorated float with a Ram Darbar tableau visible in the distance. Crowds lining the street, bright daylight, energetic devotional atmosphere, motion in the flags, shot on 35mm lens, ultra realistic, 8k.
Open in
Opens the tool in a new tab with your prompt on the clipboard.
Tips for better results
- Keep the decorated float "in the distance" rather than the main subject — a close, detailed float is harder for AI to render cleanly.
- Saffron flags in motion are what carry the energy of the scene; static flags read as a still, posed photo.
- Upload a clear, well-lit photo with your face visible from the front — this is what keeps the face-preservation step accurate.
