--- title: Place a real product in lifestyle scenes display: 'Place a real product in *lifestyle* scenes' nav_title: Product lifestyle scenes summary: - "Four lifestyle scenes of the same real product, each in a different setting, with wordmark and shape exact." - "Generate every scene from the packshot with one fixed keep-list, and always ask for the wordmark side facing the camera." - "One run per scene at high quality; a steep angle, a hidden wordmark or an unwanted skyline is what turns one run into two." description: Put one real product into several believable scenes with matching light, while the wordmark and shape stay exact. Includes a failed angle and its fix. section: playbooks order: 260 type: playbook topic: Commerce and fashion level: Build roles: [marketer] time: { read: 8, do: 20, wait: 5 } needs: ["Any plan with credits", "A clean packshot of the product (see Clean packshots from a real product photo)"] last_verified: 2026-10-16 models_checked: ["GPT Image 2.5 Sunburst", "GPT Image 2.5 Flare"] hero: playbooks/product-lifestyle-scenes/vireo-apex-track-blue-hour.webp related: [product-packshots, ad-variations-family] run_in: [model_openai-gpt-image-2-5-sunburst] thumb: playbooks/product-lifestyle-scenes/thumb.webp steps: - title: "Open the image panel" text: "Create › Images › GPT Image 2.5 Sunburst, Reference Images › Select from Library: the white packshot. Settings: Image Count 1, Dimensions 1536x1024, Quality high." - title: "The track scene" text: "The keep-list, written once from the packshot, opens the prompt; the scene follows, with the wordmark side facing the camera." prompt: |- The exact shoe from the reference image, with its shape and proportions, molten orange engineered mesh upper with fine dark fiber flecks, sculpted orange heel collar, white flat laces, the small spaced VIREO wordmark printed in darker orange on the outer side of the heel, and the thick translucent milky-white ribbed midsole with the black carbon plate showing through it as a dark stripe, unchanged, standing on the white lane line of a wet blue running track at blue hour. Rain droplets beaded on the track surface, a stadium floodlight glowing behind, out of focus, the empty bleachers dark. Low side view at shoe height, the outer side of the shoe with the VIREO wordmark facing the camera and sharp. Hard cool rim light from the floodlight, a crisp reflection of the shoe in the wet track, soft contact shadow under the sole. Style: global sportswear campaign photography: hard light, motion, deep shadow falloff, medium-format clarity. - title: "The entryway scene" text: "Same reference and settings, the same keep-list sentence, a new scene. A window onto \"city rooftops\" brought back a tower like a real landmark, so the kept version names a courtyard and rules out the skyline." prompt: |- [same keep-list sentence], standing on a long pale oak bench in a calm, minimal apartment entryway in the morning. A folded grey towel and a brushed steel water bottle sit on the bench to the left of the shoe. Behind the bench, a large plain window on the right half of the frame looks onto a quiet inner courtyard with one young linden tree in summer leaf and a pale stone wall; no buildings, no skyline. Low morning sun comes through the window from the right. Plain white wall on the left, nothing hanging on it. Side view at bench height, the outer side of the shoe with the VIREO wordmark facing the camera and sharp. Hard window light with deep shadow falloff, soft contact shadow under the sole on the oak. No text anywhere except the VIREO wordmark. Style: global sportswear campaign photography: hard light, deep shadow falloff, medium-format clarity. - title: "The in-hand scene" text: "Dimensions 1024x1536, and one specific grip, since hands are where generators slip. The grip came back mirrored with the wordmark still clear, so the take was kept." prompt: |- [same keep-list sentence], held up in one hand by a runner on a riverside path at sunrise, the hand gripping the shoe from below at the midfoot, four fingers under the sole and the thumb on the inner side, the outer side with the VIREO wordmark facing the camera and sharp. Sweat on the forearm, a black running sleeve, a steel bridge and the river softly out of focus behind, low golden side light. No face visible. Style: global sportswear campaign photography: hard light, real skin and sweat, deep shadow falloff, medium-format clarity. - title: "The night scene, read closely" text: "A steep top-down take with the toe toward the camera and no keep-list failed. The kept version keeps the keep-list, names the angle and rules out signs." prompt: |- [same keep-list sentence], standing on wet black asphalt in a quiet city street at night. Camera low, slightly above the shoe at a gentle 15 degree angle, side view, the outer side with the VIREO wordmark facing the camera, fully visible and sharp. Blurred warm and teal light from unlit, plain shop windows reflected in the puddles, no readable signs, no letters anywhere except the VIREO wordmark on the shoe. Hard light from a street lamp above, crisp reflection in the wet asphalt, soft contact shadow under the sole. Style: global sportswear campaign photography: hard light, deep shadow falloff, medium-format clarity. - title: "Check each output at 100 percent" text: "Read the wordmark, compare the sole's thickness and the heel shape with the packshot, count fingers on the in-hand shot, and scan the background for letters and familiar buildings." - title: "File the keepers" text: "Put them in the product's collection and note the edit base (here, the entryway scene)." agent_steps: - title: "Connect the Scenario MCP" text: "Connect your agent and sign in once at [mcp.scenario.com](https://mcp.scenario.com). Then tell it which Scenario team and project to use, so every file lands there." - title: "Give the agent the files" text: "The white packshot, the only product reference: every scene is made from it, never from a previous scene. Upload it with upload_asset or give its asset ID." - title: "Brief the agent: the track scene" text: "The prompt has two parts: the keep-list, identical every time, then the scene." prompt: |- Use GPT Image 2.5 Sunburst (model_openai-gpt-image-2-5-sunburst): referenceImages [packshot asset ID] (an array, even for one image), width 1536, height 1024, quality "high". Quote the cost with a dry run first and wait for my go. Prompt, word for word: The exact shoe from the reference image, with its shape and proportions, molten orange engineered mesh upper with fine dark fiber flecks, sculpted orange heel collar, white flat laces, the small spaced VIREO wordmark printed in darker orange on the outer side of the heel, and the thick translucent milky-white ribbed midsole with the black carbon plate showing through it as a dark stripe, unchanged, standing on the white lane line of a wet blue running track at blue hour. Rain droplets beaded on the track surface, a stadium floodlight glowing behind, out of focus, the empty bleachers dark. Low side view at shoe height, the outer side of the shoe with the VIREO wordmark facing the camera and sharp. Hard cool rim light from the floodlight, a crisp reflection of the shoe in the wet track, soft contact shadow under the sole. Style: global sportswear campaign photography: hard light, motion, deep shadow falloff, medium-format clarity. - title: "The other three scenes" prompt: |- Same model, reference and quality. In each prompt below, replace [same keep-list sentence] with this keep-list, word for word: The exact shoe from the reference image, with its shape and proportions, molten orange engineered mesh upper with fine dark fiber flecks, sculpted orange heel collar, white flat laces, the small spaced VIREO wordmark printed in darker orange on the outer side of the heel, and the thick translucent milky-white ribbed midsole with the black carbon plate showing through it as a dark stripe, unchanged Entryway, width 1536, height 1024. Prompt, word for word: [same keep-list sentence], standing on a long pale oak bench in a calm, minimal apartment entryway in the morning. A folded grey towel and a brushed steel water bottle sit on the bench to the left of the shoe. Behind the bench, a large plain window on the right half of the frame looks onto a quiet inner courtyard with one young linden tree in summer leaf and a pale stone wall; no buildings, no skyline. Low morning sun comes through the window from the right. Plain white wall on the left, nothing hanging on it. Side view at bench height, the outer side of the shoe with the VIREO wordmark facing the camera and sharp. Hard window light with deep shadow falloff, soft contact shadow under the sole on the oak. No text anywhere except the VIREO wordmark. Style: global sportswear campaign photography: hard light, deep shadow falloff, medium-format clarity. In hand, width 1024, height 1536. Prompt, word for word: [same keep-list sentence], held up in one hand by a runner on a riverside path at sunrise, the hand gripping the shoe from below at the midfoot, four fingers under the sole and the thumb on the inner side, the outer side with the VIREO wordmark facing the camera and sharp. Sweat on the forearm, a black running sleeve, a steel bridge and the river softly out of focus behind, low golden side light. No face visible. Style: global sportswear campaign photography: hard light, real skin and sweat, deep shadow falloff, medium-format clarity. Night street, width 1536, height 1024. Prompt, word for word: [same keep-list sentence], standing on wet black asphalt in a quiet city street at night. Camera low, slightly above the shoe at a gentle 15 degree angle, side view, the outer side with the VIREO wordmark facing the camera, fully visible and sharp. Blurred warm and teal light from unlit, plain shop windows reflected in the puddles, no readable signs, no letters anywhere except the VIREO wordmark on the shoe. Hard light from a street lamp above, crisp reflection in the wet asphalt, soft contact shadow under the sole. Style: global sportswear campaign photography: hard light, deep shadow falloff, medium-format clarity. Start the three with wait: false and collect them with one jobs_wait. Quote the cost with a dry run first and wait for my go. - title: "Check every scene at 100 percent" text: "Accept when VIREO reads correctly at 1:1 on the outer heel, the proportions, sole and heel collar match the packshot, the shadow falls away from the light and the background has no readable text or recognizable building. Reject a hidden or misspelled wordmark, a thinner sole or longer toe, letters on signs or boxes, or a landmark in the skyline." prompt: |- Download each scene with asset_download and check it at 100 percent against those rules: read VIREO letter by letter, compare the sole and the heel with the packshot, count the fingers on the in-hand shot, and scan the background for letters and familiar buildings. Tell me which pass, and redo only a failure, from the packshot. - title: "File the keepers and report" prompt: |- Create a collection for the product's lifestyle scenes with the kept scenes, and note in its description that the entryway scene is the edit base. Report the model, every asset ID and the total cost spent. updated: 2026-10-16 canonical: https://learn.scenario.com/playbooks/product-lifestyle-scenes --- Last updated: 2026-10-16 # Place a real product in lifestyle scenes > Put one real product into several believable scenes with matching light, while the wordmark and shape stay exact. Includes a failed angle and its fix. In short: - Four lifestyle scenes of the same real product, each in a different setting, with wordmark and shape exact. - Generate every scene from the packshot with one fixed keep-list, and always ask for the wordmark side facing the camera. - One run per scene at high quality; a steep angle, a hidden wordmark or an unwanted skyline is what turns one run into two. Four lifestyle images of the same real product, each in a different setting, with the wordmark readable and the shape unchanged. For e-commerce and brand teams who need scenes for product pages, social posts and ads without a location shoot. :::note As of October 2026 The models, settings and screens in this article are the ones Scenario offered in October 2026. New models and updates arrive often, so check the app for newer options before you choose. ::: ![The Vireo Apex racing shoe on the white lane line of a wet blue running track at blue hour, a floodlight glowing behind, the shoe reflected in the wet surface](https://ufgc0c9mhl4ueq76.public.blob.vercel-storage.com/academy/754d63c3a114110f7a77b5dc04b9fda374bb1fe3d05f168eddb1bf90a889f00e.webp "Kept: the track at blue hour.") ## The brief | Field | Brief | |---|---| | Goal | Four lifestyle scenes for the product page and social posts | | Product | The Vireo Apex, from the white packshot | | Format | 3 landscape scenes at 1536x1024, 1 portrait at 1024x1536 | | Fixed | Shape and proportions, molten orange knit upper with dark flecks, sculpted heel collar, white flat laces, the small VIREO wordmark on the outer heel, the thick translucent ribbed sole with the dark carbon stripe, outer side facing the camera | | May vary | Setting, props, light, camera height | | Accept when | VIREO reads letter for letter at 100 percent; the shoe's proportions match the packshot; the contact shadow agrees with the light; no readable text, logo or recognizable building anywhere else | The white packshot from [Clean packshots from a real product photo](https://learn.scenario.com/playbooks/product-packshots.md) is the only product reference. The entryway image is the base of [Edit one thing per campaign](https://learn.scenario.com/playbooks/edit-one-thing-campaign.md). The campaign master used in [Ad variations](https://learn.scenario.com/playbooks/ad-variations-family.md) and [Formats from one master](https://learn.scenario.com/playbooks/key-art-and-store-assets.md) is a separate approved image of a runner on the same track at blue hour. ## Approach :::flow Packshot | The only product reference | Keep-list | Written once, pasted verbatim | text Scenes | GPT Image 2.5 Sunburst, wordmark side to camera | image Check at 100% | Wordmark, proportions, fingers, background | File keepers | Collection, edit base noted | ::: Generate every scene from the packshot, never from a previous scene: a scene made from another inherits its drift, and drift compounds. See [Decide what stays fixed](https://learn.scenario.com/browse). Write the prompt in two parts and keep the first identical every time: 1. **The keep-list** ([Write a keep-list](https://learn.scenario.com/browse)), written once from the packshot: shape, upper, heel collar, laces, wordmark and where it sits, sole. 2. **The scene**: place, props, light, camera, and two physical cues that seat the product in it (a contact shadow, a reflection, droplets). The reference has one job, the product, and the prompt says so ([Give references a role](https://learn.scenario.com/browse)). Ask for the outer side with the wordmark facing the camera every time. Models, as of October 2026: - **Model used:** GPT Image 2.5 Sunburst at high quality, image to image with one reference. It held the wordmark in every scene where the outer side faced the camera. - **Cheaper for drafts:** GPT Image 2.5 Flare; check its wordmarks closely. - **Exact product pixels:** Pixelcut Product Photo with an image background, with less natural light. ## Steps :::steps 1. **Open the image panel.** **Create** > **Images**, model **GPT Image 2.5 Sunburst**. Under **Reference Images**, choose **Select from Library** and pick the white packshot. Under **Settings**, set **Image Count** to 1, **Dimensions** to 1536x1024 and **Quality** to `high`. 2. **Generate the track scene.** ```prompt The exact shoe from the reference image, with its shape and proportions, molten orange engineered mesh upper with fine dark fiber flecks, sculpted orange heel collar, white flat laces, the small spaced VIREO wordmark printed in darker orange on the outer side of the heel, and the thick translucent milky-white ribbed midsole with the black carbon plate showing through it as a dark stripe, unchanged, standing on the white lane line of a wet blue running track at blue hour. Rain droplets beaded on the track surface, a stadium floodlight glowing behind, out of focus, the empty bleachers dark. Low side view at shoe height, the outer side of the shoe with the VIREO wordmark facing the camera and sharp. Hard cool rim light from the floodlight, a crisp reflection of the shoe in the wet track, soft contact shadow under the sole. Style: global sportswear campaign photography: hard light, motion, deep shadow falloff, medium-format clarity. ``` 3. **Generate the entryway scene** ([Batch from a template](https://learn.scenario.com/browse)). Same reference and settings, new scene. The first version asked for "city rooftops and a clear sky" in the window and came back with a skyline whose tallest tower resembled a real landmark: rejected. The kept version names a courtyard and rules the skyline out: ```prompt [same keep-list sentence], standing on a long pale oak bench in a calm, minimal apartment entryway in the morning. A folded grey towel and a brushed steel water bottle sit on the bench to the left of the shoe. Behind the bench, a large plain window on the right half of the frame looks onto a quiet inner courtyard with one young linden tree in summer leaf and a pale stone wall; no buildings, no skyline. Low morning sun comes through the window from the right. Plain white wall on the left, nothing hanging on it. Side view at bench height, the outer side of the shoe with the VIREO wordmark facing the camera and sharp. Hard window light with deep shadow falloff, soft contact shadow under the sole on the oak. No text anywhere except the VIREO wordmark. Style: global sportswear campaign photography: hard light, deep shadow falloff, medium-format clarity. ``` 4. **Generate the in-hand scene.** Set **Dimensions** to 1024x1536 and ask for one specific grip, since hands are where generators slip: ```prompt [same keep-list sentence], held up in one hand by a runner on a riverside path at sunrise, the hand gripping the shoe from below at the midfoot, four fingers under the sole and the thumb on the inner side, the outer side with the VIREO wordmark facing the camera and sharp. Sweat on the forearm, a black running sleeve, a steel bridge and the river softly out of focus behind, low golden side light. No face visible. Style: global sportswear campaign photography: hard light, real skin and sweat, deep shadow falloff, medium-format clarity. ``` The grip came out natural, but mirrored: the thumb sits on the outer side of the sole, below the wordmark, and the fingers wrap behind, where the prompt put the thumb on the inner side. The wordmark stays clear, so the take was kept. 5. **Generate the night scene, and read it closely.** A first attempt with a steep top-down angle, the toe toward the camera and no keep-list failed (see below). The kept version keeps the keep-list, names the angle and rules out signs: ```prompt [same keep-list sentence], standing on wet black asphalt in a quiet city street at night. Camera low, slightly above the shoe at a gentle 15 degree angle, side view, the outer side with the VIREO wordmark facing the camera, fully visible and sharp. Blurred warm and teal light from unlit, plain shop windows reflected in the puddles, no readable signs, no letters anywhere except the VIREO wordmark on the shoe. Hard light from a street lamp above, crisp reflection in the wet asphalt, soft contact shadow under the sole. Style: global sportswear campaign photography: hard light, deep shadow falloff, medium-format clarity. ``` 6. **Check each output at 100 percent** before the next variant: read the wordmark, compare the sole's thickness and the heel shape with the packshot, count fingers on the in-hand shot, and scan the background for letters and familiar buildings. 7. **File the keepers** in the product's collection and note the edit base (here, the entryway scene). ::: **With the Scenario MCP:** `model_run` on `model_openai-gpt-image-2-5-sunburst` with `referenceImages: [""]` (an array, even for one image), `width`, `height` and `quality: "high"`. Start the four scenes with `wait: false` and collect them with one `jobs_wait`. :::compare ![The shoe on a pale oak bench in a calm entryway, a towel and a steel bottle to its left, a window onto a courtyard with a young linden tree](https://ufgc0c9mhl4ueq76.public.blob.vercel-storage.com/academy/f12dfa4ee23806231975f79323f9d7bdb38aac5574cdd1838f5c5b1b9ad2850c.webp "Kept: the entryway in the morning. The base for the seasonal edits.") ![A runner's hand holding the shoe up by the midfoot on a riverside path at sunrise, the outer side and wordmark facing the camera](https://ufgc0c9mhl4ueq76.public.blob.vercel-storage.com/academy/21e4f8d36709b35697e97cfb60f54c4879fbe4e9928f3a47b0cd5cd284ddfd53.webp "Kept: in hand, portrait. Grip checked at 1:1; the thumb landed on the outer side, below the wordmark.") ::: ## Check the result :::check **Accept when:** VIREO reads correctly at 1:1 on the outer heel; the shoe's proportions, sole thickness and heel collar match the packshot; the shadow falls away from the light; the background carries no readable text and no recognizable building. **Reject when:** the wordmark is hidden, turned away or misspelled; the sole got thinner or the toe longer; signs, books or boxes in the scene show letters; a skyline includes a tower or bridge that looks like a real landmark. ::: The rejected night scene combined three risks: a steep top-down angle, the toe toward the camera and no keep-list. The wordmark disappeared, the sole and its carbon stripe were barely visible, and the neon signs carried real, readable characters. The fix was a re-run from the packshot with the keep-list, a gentle angle, the outer side to the camera and "no readable signs" ([Repair at the cheapest stage](https://learn.scenario.com/browse)). :::compare ![The shoe seen steeply from above on wet asphalt at night, toe toward the camera, neon signs in red and blue reflected around it](https://ufgc0c9mhl4ueq76.public.blob.vercel-storage.com/academy/2901da121453032f9aa70969c2c6b83f698ccdc9c91cd0b88c5ff92487457b39.webp "Rejected: steep top-down angle, wordmark hidden, sole barely visible, readable characters on the neon signs.") ![The shoe on wet asphalt at night in a low side view, plain lit shop windows blurred behind](https://ufgc0c9mhl4ueq76.public.blob.vercel-storage.com/academy/90b8ae504730ef89d14f6cf719d318be3e149fb4e91c9f955f59ebbe2c931fc1.webp "Kept: re-run from the packshot with the keep-list, a 15 degree angle and no readable signs.") ::: :::quiz Check yourself ? Two night-street takes of the shoe for the product page. Which one ships? ![The shoe on wet asphalt at night in a low side view, outer side toward the camera, blurred shop windows behind](https://ufgc0c9mhl4ueq76.public.blob.vercel-storage.com/academy/90b8ae504730ef89d14f6cf719d318be3e149fb4e91c9f955f59ebbe2c931fc1.webp "Take A") ![The shoe on wet asphalt at night seen from above, toe toward the camera, neon signs reflected around it](https://ufgc0c9mhl4ueq76.public.blob.vercel-storage.com/academy/2901da121453032f9aa70969c2c6b83f698ccdc9c91cd0b88c5ff92487457b39.webp "Take B") - [ ] Take B: the overhead angle and the neon make it the moodier scene - [x] Take A: the wordmark faces the camera, the sole reads, and the background carries no text - [ ] Either one: the shoe is orange and in focus in both > Take B fails three ways: the wordmark is hidden, the sole is barely visible, and the signs carry readable characters. The fix was a rerun from the packshot with the keep-list and a gentle angle. ? An entryway scene comes back with the wordmark misspelled. What do you rerun it from? - [x] The packshot, with the keep-list that spells the wordmark and "the VIREO wordmark facing the camera and sharp" - [ ] The failed scene, with an edit prompt that corrects the letters - [ ] The track scene, since its wordmark is correct > Generate every scene from the packshot, never from a previous scene. A scene made from another inherits its drift. ::: ## Make it repeatable - **Save the keep-list as text** in the product's collection description. Everyone pastes it; nobody rewrites it. - **Use the platform App for quick drafts.** **Product Studio** (**Workflows** > **Apps**, **Platform** tab) takes a product photo and an optional setting and runs GPT Image 2.5 Sunburst with a fixed template. It has no keep-list or wordmark clause: check each result at 1:1. See [Package a production process as an App](https://learn.scenario.com/playbooks/team-asset-pipeline-app.md). - **Build your own App with the keep-list inside** ([Package it as a workflow or skill](https://learn.scenario.com/browse)). In the **Node Editor**: an **Image** input (`Product packshot`), a **Text** input (`Scene`), a **Prompt Builder** that joins the fixed keep-list with the scene text, an **Image Generator** on GPT Image 2.5 Sunburst, and an **Approval** node with `Approve only if the wordmark reads correctly and faces the camera.` - **Train only for volume:** hundreds of scenes of one product. For a launch set, the packshot reference is faster and cheaper. See [When to train a model](https://learn.scenario.com/browse#t-hc-train-custom-ai-models). ## Runs and time | Step | Model | Runs or takes | Kept | Wait | |---|---|---|---|---| | Track at blue hour | GPT Image 2.5 Sunburst, high | 1 | 1 | about 40 s | | Entryway with a city skyline | GPT Image 2.5 Sunburst, high | 1 | 0 (rejected) | about 35 s | | Entryway with a courtyard | GPT Image 2.5 Sunburst, high | 1 | 1 | about 35 s | | Riverside, in hand | GPT Image 2.5 Sunburst, high | 1 | 1 | about 35 s | | Night street, steep angle | GPT Image 2.5 Sunburst, high | 1 | 0 (rejected) | about 40 s | | Night street, fixed | GPT Image 2.5 Sunburst, high | 1 | 1 | about 40 s | Six runs for four scenes; every scene costs about the same, so the two rejected takes are the only waste. The price shows on the **Generate** button before you run. ## Variations - **Food and drink:** put the cues that sell the product (condensation on a can, steam over coffee) in the scene part, never in the keep-list. - **Cosmetics:** label facing the camera and cap on; open containers invite the model to invent the inside. - **Furniture and large goods:** front and side packshots as two references, each with its role named. - **Seasonal pages:** change only the season of an approved scene with a mask. See [Edit one thing per campaign](https://learn.scenario.com/playbooks/edit-one-thing-campaign.md). - **Marketplaces that forbid generated scenes:** use these for social and ads, the packshots for the listing. ## If it breaks - **The wordmark is misspelled or blurred.** Check that the keep-list spells it, says where it sits, and that the prompt has "facing the camera and sharp". Re-run from the packshot, not the failed image. - **The product changes proportions.** Remove extreme camera angles and wide lenses; they give the model a reason to redraw the shape. - **Props or signs carry text.** Name props as plain and add "no readable signs, no letters anywhere except the wordmark". - **A skyline shows a famous-looking building.** Describe a closed setting (a courtyard, trees, low anonymous buildings) and add "no skyline". - **The product floats.** Ask for a "soft contact shadow under the sole" and say what it stands on. - **Every scene looks the same.** Change the light and camera height too, not only the location. Source: https://learn.scenario.com/playbooks/product-lifestyle-scenes