Guide
Bria Product Shot: four product scene examples
Bria Product Shot costs $0.0575 per image. Explore four examples with source images and the matching input settings.
- Per image
- $0.0575
TL;DR
- Bria Product Shot: Upload a product photo and choose an English scene description or a scene reference image.
- Each image costs $0.0575, with one PNG per request. See pricing and budgets
- Four examples cover text scenes, a scene reference and original placement. Text links prefill the description; upload the product image separately.
Prepare inputs for your edit
Text mode suits a product shot with a defined scene description. Reference mode uses another image to guide the setting. If the product must stay in its original position, select original separately. Each example includes its English scene description or the specific scene-reference input.
Skincare: a countertop by a window

Open this scene description in the model page; also upload the product image and choose placement.

Open this scene description in the model page; also upload the product image and choose placement.
The source shows a dropper bottle against a pale background. In the result, the bottle sits low in the frame, with a window frame, green leaves and a veined pale surface around it.
On a white marble countertop beside a window, soft morning light, a few green leaves in the background
The description specifies the surface, light and background objects. bottom_center controls placement; you still need to upload the product image.
The window frame, leaves and pale veined surface are easy to identify. The bottle sits at bottom center with substantial background space above. Decide whether that space suits the intended layout: for a product-focused image, check that the small bottle remains legible at the final display size; for copy placement, inspect the background brightness where text will go.
Keep bottom_center and the product image fixed while changing the surface or lighting description. That makes the source of each change easier to judge. The original prompt remains above; a rewritten version should not be described as the input that produced this image. The case illustrates a scene direction, not a promise of pixel-identical packaging text, color or material detail.
{
"model": "bria-product-shot",
"input": {
"image_url": "https://static.hiapi.ai/model-covers/2026/10/22/1792653491040-98cf020f23ff79b2-1792546029235-98cf020f23ff79b2-p1-serum-src.png",
"prompt": "On a white marble countertop beside a window, soft morning light, a few green leaves in the background",
"optimize_description": true,
"placement_type": "manual_placement",
"manual_placement_selection": "bottom_center",
"fast": true
}
}
bria-product-shot returns one image per request at $0.0575 per image.
Homeware: a wooden shelf

Open this scene description in the model page; also upload the product image and choose placement.

Open this scene description in the model page; also upload the product image and choose placement.
The source shows a ribbed ceramic cup on a pale background. The result places it on a wooden surface beside light fabric and dried plants.
On a rustic wooden kitchen shelf with linen cloth and dried flowers, warm afternoon sunlight, cozy Scandinavian kitchen in the background
Start with the surface supporting the product, then describe fabric, plants and light. When reusing it, replace the scene description and check the product edges.
A wooden supporting surface is visible in front, with fabric and dried plants around the cup and a warm, soft background. Compared with the window-side bottle, this is useful for inspecting the arrangement of props around the subject. The two images cannot rank model quality: the product, description and setting all changed.
First inspect whether the rim and ribs meet the product-display requirement, then check that fabric and plants do not hide its outline. To seek a simpler setting, reduce the objects named in the scene and review the result. This is an input-editing method, not a promise that deleting one word precisely removes one object. Use placement parameters for position changes instead of repeatedly asking for a small shift in prompt text.
{
"model": "bria-product-shot",
"input": {
"image_url": "https://static.hiapi.ai/model-covers/2026/10/22/1792653495587-1ca0aee6e567e540-1792546029664-1ca0aee6e567e540-p2-dripper-src.png",
"prompt": "On a rustic wooden kitchen shelf with linen cloth and dried flowers, warm afternoon sunlight, cozy Scandinavian kitchen in the background",
"optimize_description": true,
"placement_type": "manual_placement",
"manual_placement_selection": "bottom_center",
"fast": true
}
}
bria-product-shot returns one image per request at $0.0575 per image.
Electronics: follow a scene reference

Open the model page to upload inputs, then upload the scene reference; do not enter a prompt.

Open the model page to upload inputs, then upload the scene reference; do not enter a prompt.

Open the model page to upload inputs, then upload the scene reference; do not enter a prompt.
The reference contains a peach wall, a round pedestal and palm-leaf elements. The result puts the headphones in front of the pedestal, with warm colors and leaf elements in the background.
Send the product and reference images, and omit prompt and optimize_description. The reference guides the scene; review the product position and scale in the result.
The headphones are in front of the pedestal, with the earcups near the foreground floor and the pedestal behind them. Carrying over colors and scene elements does not mean precise placement on a particular surface. If the layout requires a product on top of the pedestal, use the actual landing position as an acceptance condition.
This example has no generation prompt; the reference image is the scene input. Keep the roles of product and reference images distinct, and remove prompt and optimize_description from the request. Sending optimize_description=false is still invalid for this combination. Compare reference changes separately from preset changes so their effects on placement remain distinguishable.
{
"model": "bria-product-shot",
"input": {
"image_url": "https://static.hiapi.ai/model-covers/2026/10/22/1792653508912-1a0141656fd5be3e-1792546030593-1a0141656fd5be3e-p3-headphones-src.png",
"reference_image_url": "https://static.hiapi.ai/model-covers/2026/10/22/1792653513818-51ae5323f709b007-1792546031369-51ae5323f709b007-p3-scene-ref.png",
"placement_type": "manual_placement",
"manual_placement_selection": "bottom_center",
"fast": true
}
}
bria-product-shot returns one image per request at $0.0575 per image.
Candles: keep the original composition

Open this scene description in the model page; also upload the product image and choose placement.

Open this scene description in the model page; also upload the product image and choose placement.
The source has an amber candle jar against gray. In the result it remains near the lower center, while bedding and a lit lamp appear behind it.
On a wooden bedside table in a calm bedroom at dusk, soft warm lamp light, linen bedding blurred in the background
Choose placement_type=original and original_quality=true to keep the original placement and input size. Omit manual_placement_selection.
The candle jar remains near the lower center, with a lamp and blurred bedding behind it. The background is warmer than the source's gray setting. This case suits a product composition already chosen for the job. Inspect the input before selecting original: retaining an unsuitable source position does not redesign the layout.
original_quality=true retains the input dimensions; it does not establish higher detail accuracy. After checking dimensions, compare the jar opening, wick and silhouette, then inspect the contact shadow on the surface. Omit manual_placement_selection when reusing this combination. The landscape display image is not a fixed output specification for every product.
{
"model": "bria-product-shot",
"input": {
"image_url": "https://static.hiapi.ai/model-covers/2026/10/22/1792653518710-bd2c7181e19c3cb3-1792546031810-bd2c7181e19c3cb3-p4-candle-src.png",
"prompt": "On a wooden bedside table in a calm bedroom at dusk, soft warm lamp light, linen bedding blurred in the background",
"optimize_description": true,
"placement_type": "original",
"original_quality": true,
"fast": true
}
}
bria-product-shot returns one image per request at $0.0575 per image.
How should you adapt an example?
- Write the supporting surface first, then light and background objects, in English.
- Control placement through parameters: manual_placement for presets, original for the source composition.
- In reference mode, send the reference image and omit prompt and optimize_description; review the product position in the result.
How do you choose a starting point?
Start with the bottle or cup's text mode when you need to describe a new environment. Choose the supporting surface, then decide which background objects are useful. If you already have a scene image, use the headphone request structure. If the composition is already settled, use the candle's original combination. Scene input and placement are separate decisions; a reference does not remove the placement check.
A text prefill link carries only the original English description. It does not include the product image, placement or complete request. Review inputs and settings after opening it. The reference case has no text prefill; upload the scene reference instead. The original requests remain beneath the examples so you can compare fields directly.
Change one clearly identified input per comparison: the product photo, description, reference or placement. Retain the previous request and result. If the product, lighting and composition all change together, the result difference cannot be attributed to one parameter. Matching settings also do not guarantee an identical image on another run.
How should you decide whether a candidate is deliverable?
Inspect the product first, then decide whether the setting suits the use. Compare the silhouette, openings and visible markings with the input. Contact with the supporting surface and nearby objects determines whether placement is plausible. Check empty space for a copy layout, or the subject's legibility at the final display size for a product detail page.
These cases show their own inputs and results. They establish no product-fidelity rate, batch acceptance rate or speed comparison. Matching a scene description and being suitable for a product listing are separate judgments. If only the background is usable, record the product issue and revise the input or plan retouching; a successful response is not a quality guarantee.
FAQ
Does a prefilled link include the product image?
These links prefill only the English scene description. Upload the product image and choose placement separately.
Which prompt should I use for the headphone example?
It uses a scene reference, with no prompt. Omit prompt and optimize_description from the request.
Why does the candle example omit a position preset?
It uses placement_type=original, so manual_placement_selection must be omitted.
What does each example cost?
One output costs $0.0575. Four outputs total $0.23.
Related guides
Related articles
View all articles →-
Guide
What Is GPT Image 2.6? Markup Edits and Specs
What OpenAI's API spec says about GPT Image 2.6, how the new markup edit field works, and what hasn't been published yet.
5 -
Guide
Vidu Q4 Preview API Pricing: $0.0515 per Second
Both modes share one rate: five resolutions from 540p to 4K, 3–16 second clips, what $10 buys, and how it compares with other video models on HiAPI.
5 -
Guide
Recraft V4.1 Flash for E-Commerce Product Images: $0.01 Batch Catalog Shots
A real parallel batch on recraft-v4.1-flash/text-to-image: listing and scene shots, measured background whiteness, timing, and a batch script.
7