Sleek Water Bottle Product Shot
DALL·ESleek Water Bottle Product Shot is a tested DALL·E GPT Image 2 (ChatGPT) prompt for product photography work. It runs at DALL·E GPT Image 2 (ChatGPT) · Aspect ratio 1:1, and ships below with the exact prompt text, usage notes, and 2 pasteable variations.
Last tested: July 2026 with DALL·E GPT Image 2 (ChatGPT)
Part of the DALL·E prompt library · see more minimalist prompts .
Prompt
A sleek water bottle product shot, matte stainless steel water bottle standing on a rocky surface, soft outdoor light, mountains blurred in the background, no text, no logos, clean adventure gear photography
Settings
- Model
- DALL·E GPT Image 2 (ChatGPT)
- Aspect ratio
- 1:1
How to use this prompt
Water bottle product shots need to communicate both design and use case. A rocky surface and blurred mountains suggest outdoor adventure. The bottle should be the sharpest element. Soft outdoor light creates natural highlights on the metal without harsh glare. The 1:1 frame works well for social ads. A matte finish reduces reflections that could distract.
Variations to try
- Gym bottle — bottle beside a yoga mat and towel for fitness marketing
- Office bottle — bottle on a desk for a hydration-at-work campaign
Explore collections
What to do next
Adapt it →
Open this prompt in the DALL·E builder, pre-filled, and change one layer at a time.
Explore more →
Browse the full DALL·E prompt library — every entry tested with its settings.
For developers — copy this prompt as JSON
{
"title": "Sleek Water Bottle Product Shot",
"prompt": "A sleek water bottle product shot, matte stainless steel water bottle standing on a rocky surface, soft outdoor light, mountains blurred in the background, no text, no logos, clean adventure gear photography",
"model": "DALL·E",
"model_version": "GPT Image 2 (ChatGPT)",
"settings": {
"aspect_ratio": "1:1"
},
"style_tags": [
"minimalist",
"modern"
],
"use_case_tags": [
"product-photography",
"marketing"
],
"source_url": "https://promptkoi.com/prompts/dalle/sleek-water-bottle-product-shot/"
} The whole library is available as an open JSON dataset · developer docs.