Nano Banana 产品图怎么做：8 组电商提示词实测

Turn this phone photo into a clean e-commerce main image. Keep the bottle, the dropper and every word on the label exactly as they are. Place it on a pure white background (#FFFFFF) with only a soft, natural contact shadow under the base. Even studio lighting from the front and both sides, no reflections of the kitchen in the glass. Center the bottle, straight on, filling about 85% of the frame height.

Use the serum bottle in this photo as the product for a premium studio hero shot. The bottle stands on a terracotta-colored stone block in front of a warm sand-colored seamless backdrop. A single hard key light from the upper left casts a crisp diagonal shadow to the right, and a thin rim light traces the edge of the amber glass. Keep the label text "AURELLE", "Vitamin C Serum" and "30 ml" unchanged. Leave clear empty space above the bottle for a headline.

Place this exact serum bottle on a white marble bathroom shelf next to a folded oatmeal linen towel and a small sprig of eucalyptus. Soft morning sunlight comes through a frosted window on the right and casts gentle leaf shadows across the shelf. Shallow depth of field: the bottle is the sharpest thing in the frame, with the label facing the camera and fully readable. Photorealistic, shot like an 85 mm lens at eye level.

Create an overhead flat lay for a coffee shop's product page using this coffee bag. Lay the bag flat in the center of a light oak table, surrounded by a ceramic pour-over dripper, a small pile of roasted coffee beans, a white cup of black coffee and a folded paper filter. Soft daylight from the top of the frame, gentle shadows, balanced spacing, nothing touching the edges. Keep the label design and all of its text exactly as in the photo.

Show this exact sneaker being worn by a runner mid-stride on a red running track at golden hour. Crop from the knee down with the camera low near the ground. The shoe is in sharp focus and keeps the white upper, the mint-green sole, laces and heel tab from the photo; the track lines behind are blurred with motion. Photorealistic sports campaign look, no logos added.

Make a square social media ad for this coffee bag. Put the bag on the right side of the frame on a deep forest-green background with a few scattered coffee beans. On the left, set the headline "Roasted every Monday" in a bold cream serif font, and under it, in smaller cream sans-serif text, "Free shipping over $30". Keep the bag's own label unchanged. Clean layout with generous margins and no other text.

Using this sneaker as the base design, create a product lineup of three colorways side by side on a light gray studio background: on the left the original white with mint-green sole and laces, in the middle an all-black version with a white sole, on the right a sand-beige version with a brown sole. Same side-profile angle and same size for all three, evenly spaced, soft shadows under each. Keep the shape, stitching and sole pattern identical to the photo.

Create a bold advertising shot of this serum bottle: it stands in a shallow pool of clear water while a crown of water splashes up around it, frozen in mid-air, with two thin orange slices floating nearby. Bright citrus-orange gradient background, high-speed flash lighting, every droplet crisp. Keep the bottle, the dropper and the label exactly as in the photo.

Create a bold advertising shot of this serum bottle: it stands in a shallow pool of clear water while a crown of water splashes up around it, frozen in mid-air, with two thin orange slices floating nearby. Bright citrus-orange gradient background, high-speed flash lighting, every droplet crisp. Keep the bottle and the dropper exactly as in the photo. The label stays dry, fully visible above the splash and faces the camera. It reads "AURELLE", "Vitamin C Serum" and "30 ml", with no other text on it.

Using this sneaker as the base design, create a product lineup of three colorways side by side on a light gray studio background: on the left the original white with mint-green sole and laces, in the middle an all-black version with a white sole, on the right a sand-beige version with a brown sole. Same side-profile angle and same size for all three, every toe pointing right exactly as in the photo, evenly spaced, soft shadows under each. Do not mirror the shoe. Keep the shape, stitching, the embossed mark on the side of the heel and the sole pattern identical to the photo.

Turn this phone photo into a clean e-commerce main image. Keep the bottle, the dropper and every word on the label exactly as they are. The background is solid pure white (#FFFFFF) from edge to edge, with no gradient, no vignette and no gray in the corners. The only shadow is a soft, natural contact shadow directly under the base. Even studio lighting from the front and both sides, no reflections of the kitchen in the glass. Center the bottle, straight on, filling about 85% of the frame height.

"""Edit one product photo with Nano Banana through the OmniaKey media API.

Usage:
    export OMNIAKEY_API_KEY="your-omniakey-api-key"
    python3 nb_product_edit.py photo.jpg prompt.txt product.jpg

The photo is a JPEG under 700 KB, sent inline as Base64.
"""
import base64
import json
import os
import sys
import time
import urllib.error
import urllib.request
import uuid

API = "https://api.omniakey.com/v1/media/tasks"
MODEL = "gemini-nano-banana-2.1"  # or "gemini-3-pro-image" for Nano Banana Pro
HEADERS = {
    "Authorization": "Bearer " + os.environ["OMNIAKEY_API_KEY"],
    "Content-Type": "application/json",
    "User-Agent": "nano-banana-product-example/1.0",
}
POLL_SECONDS = 5
GIVE_UP_AFTER = 5 * 60  # most of our edits finished in under 90 seconds


def call(method, url, body=None, extra_headers=None):
    data = json.dumps(body).encode() if body is not None else None
    req = urllib.request.Request(url, data=data, method=method, headers={**HEADERS, **(extra_headers or {})})
    for attempt in range(3):
        try:
            with urllib.request.urlopen(req, timeout=60) as resp:
                return json.load(resp)
        except urllib.error.HTTPError as err:
            sys.exit(f"HTTP {err.code}: {err.read().decode(errors='replace')}")
        except (urllib.error.URLError, TimeoutError, ConnectionError) as err:
            if attempt == 2:
                raise
            print("network error, retrying:", err)  # a retried POST keeps its Idempotency-Key
            time.sleep(5)


def main(photo, prompt_file, out_path):
    raw = open(photo, "rb").read()
    if len(raw) > 700_000:  # Base64 adds a third, and the whole request must stay under 1 MiB
        sys.exit("The photo is over 700 KB. Resize it first, for example to 1024 px on the long side.")
    task = call("POST", API, {
        "model": MODEL,
        "type": "image",
        "operation": "edit",
        "input": {
            "prompt": open(prompt_file, encoding="utf-8").read().strip(),
            "image": {"data": base64.b64encode(raw).decode(), "mime_type": "image/jpeg"},
        },
        "parameters": {"aspect_ratio": "1:1", "image_size": "2K"},
    }, {"Idempotency-Key": str(uuid.uuid4())})
    print("task", task["id"], task["status"])

    start = time.time()
    while task["status"] in ("queued", "processing"):
        if time.time() - start > GIVE_UP_AFTER:
            sys.exit(f"Still {task['status']} after 5 minutes. Do not submit it again; "
                     f"check it later with GET {API}/{task['id']}")
        time.sleep(POLL_SECONDS)
        task = call("GET", f"{API}/{task['id']}")
    print(task["status"], "after", round(time.time() - start), "s")
    if task["status"] != "succeeded":
        sys.exit(json.dumps(task.get("error") or task))

    # The signed download URL is short-lived, so save the file right away.
    asset = task["assets"][0]
    req = urllib.request.Request(asset["url"], headers={"User-Agent": HEADERS["User-Agent"]})
    with urllib.request.urlopen(req, timeout=120) as resp, open(out_path, "wb") as f:
        f.write(resp.read())
    print("saved", out_path, asset.get("mime_type"))


if __name__ == "__main__":
    main(*sys.argv[1:4])

export OMNIAKEY_API_KEY="your-omniakey-api-key"
python3 nb_product_edit.py photo.jpg prompt.txt product.jpg

task task_UdWluqJc0prstORG3z2PpK51OhMrW3Oc queued
succeeded after 25 s
saved data/t1-check.jpg image/jpeg