ChatGPT Prompts

Prompts compatible with ChatGPT workflows.

Four-panel STAR storyboard showing competing priorities, a listening meeting, joint prioritization, and an agreed schedule.

ChatGPT

Conflicting Priorities to a Conflict Resolution STAR Storyboard

Turn notes about a workplace disagreement into a four-panel interview story showing listening, negotiation, and the documented outcome.

Transform the uploaded photograph or photographs of my interview notes into one polished STAR interview storyboard image. Treat the photographed notes as the factual source; they are not a reference for the finished page's camera angle, handwriting, or paper texture. Read the legible content and use a single documented experience. If several separate experiences appear and the intended one is unclear, ask which one to use before generating. Build the story around one disagreement over priorities. Situation must show the competing needs neutrally. Task must state the candidate's responsibility and limits of authority. In Action, show how the candidate listened, compared constraints, and negotiated a workable agreement, but only include steps recorded in the notes. Result must distinguish an agreement reached from a later business outcome; do not assume that one caused the other. Do not cast a colleague as a villain or turn routine disagreement into misconduct. Produce a landscape 3:2 image with four equal panels in a 2×2 grid, read left to right and then top to bottom. Use exactly the headings Situation, Task, Action, Result. Each panel should contain one simple flat-vector scene and one concise English caption of no more than 18 words; Action may use two short numbered captions totaling no more than 30 words. Keep a consistent fictional adult character, generous margins, restrained colors, high contrast, and crisp readable lettering. Use first-person wording only for my documented actions. Preserve the meaning of legible facts and any supplied metrics; never invent names, dates, achievements, quotations, or causal claims. Replace personal and company identifiers with neutral role descriptions. Depict people symbolically without inferring appearance from names. If a fact needed to form the story is illegible or missing, ask one focused question before creating the image; if I request an immediate draft, mark only that missing element 'Not specified in notes' and do not fill it in. An unrecorded result must remain unrecorded. Include no extra titles, logos, decorative labels, or text outside the storyboard. Return the storyboard image.

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STAR storyboard illustrating an overloaded project, essential task selection, optional work deferral, and delivery of agreed scope.

ChatGPT

Deadline Recovery Notes to a Prioritization STAR Storyboard

Transform a photographed deadline recovery account into a visual answer about prioritization and delivery trade-offs.

Transform the uploaded photograph or photographs of my interview notes into one polished STAR interview storyboard image. Treat the photographed notes as the factual source; they are not a reference for the finished page's camera angle, handwriting, or paper texture. Read the legible content and use a single documented experience. If several separate experiences appear and the intended one is unclear, ask which one to use before generating. Use one project where a deadline was at risk. Situation must show the documented obstacle and time constraint. Task must identify the candidate's delivery responsibility and what could not be compromised. Action must distinguish prioritizing essential work, deferring optional work, and coordinating dependencies where these steps are evidenced. Result must accurately state whether delivery was on time, partial, or late. Keep the original scope distinct from revised scope; never portray a reduced-scope delivery as completion of all original work. Produce a landscape 3:2 image with four equal panels in a 2×2 grid, read left to right and then top to bottom. Use exactly the headings Situation, Task, Action, Result. Each panel should contain one simple flat-vector scene and one concise English caption of no more than 18 words; Action may use two short numbered captions totaling no more than 30 words. Keep a consistent fictional adult character, generous margins, restrained colors, high contrast, and crisp readable lettering. Use first-person wording only for my documented actions. Preserve the meaning of legible facts and any supplied metrics; never invent names, dates, achievements, quotations, or causal claims. Replace personal and company identifiers with neutral role descriptions. Depict people symbolically without inferring appearance from names. If a fact needed to form the story is illegible or missing, ask one focused question before creating the image; if I request an immediate draft, mark only that missing element 'Not specified in notes' and do not fill it in. An unrecorded result must remain unrecorded. Include no extra titles, logos, decorative labels, or text outside the storyboard. Return the storyboard image.

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Four-panel STAR storyboard showing a document version mistake, ownership, correction, and a new review checkpoint.

ChatGPT

Mistake and Recovery Notes to an Accountability STAR Storyboard

Create a candid visual interview answer about owning a mistake, correcting it, and learning from it.

Transform the uploaded photograph or photographs of my interview notes into one polished STAR interview storyboard image. Treat the photographed notes as the factual source; they are not a reference for the finished page's camera angle, handwriting, or paper texture. Read the legible content and use a single documented experience. If several separate experiences appear and the intended one is unclear, ask which one to use before generating. Select one mistake that the candidate personally acknowledges. Situation must state the error and observed impact without exaggeration. Task must clarify the candidate's responsibility to repair or escalate it. Action must separate disclosure, immediate correction, and prevention steps when those actions are present in the notes. Result must preserve unresolved consequences and distinguish a prevention measure introduced from proof that recurrence was eliminated. Do not make the candidate blameless, invent a positive ending, or shift responsibility onto another person. Produce a landscape 3:2 image with four equal panels in a 2×2 grid, read left to right and then top to bottom. Use exactly the headings Situation, Task, Action, Result. Each panel should contain one simple flat-vector scene and one concise English caption of no more than 18 words; Action may use two short numbered captions totaling no more than 30 words. Keep a consistent fictional adult character, generous margins, restrained colors, high contrast, and crisp readable lettering. Use first-person wording only for my documented actions. Preserve the meaning of legible facts and any supplied metrics; never invent names, dates, achievements, quotations, or causal claims. Replace personal and company identifiers with neutral role descriptions. Depict people symbolically without inferring appearance from names. If a fact needed to form the story is illegible or missing, ask one focused question before creating the image; if I request an immediate draft, mark only that missing element 'Not specified in notes' and do not fill it in. An unrecorded result must remain unrecorded. Include no extra titles, logos, decorative labels, or text outside the storyboard. Return the storyboard image.

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STAR storyboard depicting stakeholder doubts, a pilot proposal, a demonstration, and approval for a trial.

ChatGPT

Influence Without Authority Notes to a Stakeholder Buy-In STAR Storyboard

Visualize how you gained support for a proposal without relying on formal authority.

Transform the uploaded photograph or photographs of my interview notes into one polished STAR interview storyboard image. Treat the photographed notes as the factual source; they are not a reference for the finished page's camera angle, handwriting, or paper texture. Read the legible content and use a single documented experience. If several separate experiences appear and the intended one is unclear, ask which one to use before generating. Use one initiative where the candidate did not have direct authority over decision-makers. Situation must show the documented problem and stakeholder hesitation. Task must define the proposal and the candidate's limited remit. Action must show the evidence, consultation, or small pilot the candidate actually used, distinguishing persuasion from unilateral direction. Result must separate approval to test, adoption, and measured business impact. Do not imply that winning permission for a pilot means the solution was deployed broadly. Produce a landscape 3:2 image with four equal panels in a 2×2 grid, read left to right and then top to bottom. Use exactly the headings Situation, Task, Action, Result. Each panel should contain one simple flat-vector scene and one concise English caption of no more than 18 words; Action may use two short numbered captions totaling no more than 30 words. Keep a consistent fictional adult character, generous margins, restrained colors, high contrast, and crisp readable lettering. Use first-person wording only for my documented actions. Preserve the meaning of legible facts and any supplied metrics; never invent names, dates, achievements, quotations, or causal claims. Replace personal and company identifiers with neutral role descriptions. Depict people symbolically without inferring appearance from names. If a fact needed to form the story is illegible or missing, ask one focused question before creating the image; if I request an immediate draft, mark only that missing element 'Not specified in notes' and do not fill it in. An unrecorded result must remain unrecorded. Include no extra titles, logos, decorative labels, or text outside the storyboard. Return the storyboard image.

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STAR storyboard showing an incomplete customer parcel, verification, replacement coordination, and delivery of the missing item.

ChatGPT

Customer Escalation Notes to a Service Recovery STAR Storyboard

Build a customer service interview storyboard that shows ownership, concrete action, and the actual resolution.

Transform the uploaded photograph or photographs of my interview notes into one polished STAR interview storyboard image. Treat the photographed notes as the factual source; they are not a reference for the finished page's camera angle, handwriting, or paper texture. Read the legible content and use a single documented experience. If several separate experiences appear and the intended one is unclear, ask which one to use before generating. Use one customer escalation documented in the notes. Situation must describe the reported issue without exposing customer identifiers. Task must explain the candidate's service responsibility and any relevant decision limits. Action must show listening, checking records, coordinating a response, or arranging a remedy only where supported. Result must distinguish a remedy offered, a remedy delivered, and customer-confirmed satisfaction. Do not invent refunds, policy exceptions, restored loyalty, or favorable customer reactions. Produce a landscape 3:2 image with four equal panels in a 2×2 grid, read left to right and then top to bottom. Use exactly the headings Situation, Task, Action, Result. Each panel should contain one simple flat-vector scene and one concise English caption of no more than 18 words; Action may use two short numbered captions totaling no more than 30 words. Keep a consistent fictional adult character, generous margins, restrained colors, high contrast, and crisp readable lettering. Use first-person wording only for my documented actions. Preserve the meaning of legible facts and any supplied metrics; never invent names, dates, achievements, quotations, or causal claims. Replace personal and company identifiers with neutral role descriptions. Depict people symbolically without inferring appearance from names. If a fact needed to form the story is illegible or missing, ask one focused question before creating the image; if I request an immediate draft, mark only that missing element 'Not specified in notes' and do not fill it in. An unrecorded result must remain unrecorded. Include no extra titles, logos, decorative labels, or text outside the storyboard. Return the storyboard image.

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Four-panel STAR storyboard showing an unfamiliar reporting tool, a first report assignment, guided practice, and reviewed delivery.

ChatGPT

Learning a New Skill Notes to an Adaptability STAR Storyboard

Show how you learned an unfamiliar skill and applied it to a real task without overstating expertise.

Transform the uploaded photograph or photographs of my interview notes into one polished STAR interview storyboard image. Treat the photographed notes as the factual source; they are not a reference for the finished page's camera angle, handwriting, or paper texture. Read the legible content and use a single documented experience. If several separate experiences appear and the intended one is unclear, ask which one to use before generating. Use one assignment requiring a skill or tool the candidate had not used before. Situation must show the documented knowledge gap. Task must identify the deliverable or capability needed. Action must distinguish learning activities, practice, feedback, and application where those steps appear in the notes. Result must state the demonstrated capability or completed work and any continuing limitations. Do not equate finishing a course with mastering a skill, invent certifications, or present a supervised first attempt as independent expertise. Produce a landscape 3:2 image with four equal panels in a 2×2 grid, read left to right and then top to bottom. Use exactly the headings Situation, Task, Action, Result. Each panel should contain one simple flat-vector scene and one concise English caption of no more than 18 words; Action may use two short numbered captions totaling no more than 30 words. Keep a consistent fictional adult character, generous margins, restrained colors, high contrast, and crisp readable lettering. Use first-person wording only for my documented actions. Preserve the meaning of legible facts and any supplied metrics; never invent names, dates, achievements, quotations, or causal claims. Replace personal and company identifiers with neutral role descriptions. Depict people symbolically without inferring appearance from names. If a fact needed to form the story is illegible or missing, ask one focused question before creating the image; if I request an immediate draft, mark only that missing element 'Not specified in notes' and do not fill it in. An unrecorded result must remain unrecorded. Include no extra titles, logos, decorative labels, or text outside the storyboard. Return the storyboard image.

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STAR storyboard showing an unfamiliar workflow, a shared learning goal, guided practice, and a colleague completing a task independently.

ChatGPT

Peer Coaching Notes to a Mentorship STAR Storyboard

Turn notes about helping a colleague into a visual interview story that preserves shared ownership of the outcome.

Transform the uploaded photograph or photographs of my interview notes into one polished STAR interview storyboard image. Treat the photographed notes as the factual source; they are not a reference for the finished page's camera angle, handwriting, or paper texture. Read the legible content and use a single documented experience. If several separate experiences appear and the intended one is unclear, ask which one to use before generating. Choose one concrete coaching or knowledge-sharing episode. Situation must show the support need without portraying the colleague as incapable. Task must define the candidate's actual responsibility and boundaries. Action must distinguish demonstrating, asking questions, providing feedback, and gradually handing ownership back, using only documented steps. Result must attribute the colleague's work to the colleague and the coaching contribution to the candidate. If independent performance or later improvement was not observed, do not invent it. Avoid framing taking over someone's task as successful mentorship. Produce a landscape 3:2 image with four equal panels in a 2×2 grid, read left to right and then top to bottom. Use exactly the headings Situation, Task, Action, Result. Each panel should contain one simple flat-vector scene and one concise English caption of no more than 18 words; Action may use two short numbered captions totaling no more than 30 words. Keep a consistent fictional adult character, generous margins, restrained colors, high contrast, and crisp readable lettering. Use first-person wording only for my documented actions. Preserve the meaning of legible facts and any supplied metrics; never invent names, dates, achievements, quotations, or causal claims. Replace personal and company identifiers with neutral role descriptions. Depict people symbolically without inferring appearance from names. If a fact needed to form the story is illegible or missing, ask one focused question before creating the image; if I request an immediate draft, mark only that missing element 'Not specified in notes' and do not fill it in. An unrecorded result must remain unrecorded. Include no extra titles, logos, decorative labels, or text outside the storyboard. Return the storyboard image.

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Ceramic basin diorama containing an oval pond, lily pads, rocks, ferns, and a curved stepping-stone path.

ChatGPT

Garden Pond Photo to Ceramic Basin Diorama

Convert a garden pond photograph into a contained miniature with layered planting and a visibly crafted basin.

Use the uploaded photograph as the authoritative visual reference and transform it into one finished photograph of a handcrafted miniature diorama. Recreate the photographed garden pond as a miniature scene contained within a shallow handmade ceramic basin. Preserve the pond outline, stepping-stone path, dominant plant groupings, and any visible bench or garden ornament. Model rocks from textured clay, foliage from finely shaped model leaves, and the pond from a thin smooth layer of translucent resin. Keep lily pads at the water surface and stems anchored naturally; include fish only if they are visible in the source. The basin is a display boundary, not a new landscape feature inside the garden. Omit invented waterfalls, bridges, people, and readable markings. Show the complete ceramic rim and a small amount of tabletop beneath it. Use a high three-quarter viewpoint that makes the pond layout easy to compare with the source photo. Light softly from one side, keeping water reflections restrained and miniature plant shadows consistent. Use a muted warm backdrop with broad focus across the pond and path. Preserve the source scene's recognizable spatial relationships while translating materials into model-making equivalents. Use one coherent miniature scale throughout; do not confuse macro blur with actual miniaturization. Where a detail is unclear, simplify it conservatively instead of inventing a prominent object. Output one cohesive image, not a collage or a before-and-after comparison. Do not add captions, labels, watermarks, UI overlays, readable text, or branding.

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Red model train crossing a stone viaduct beside a carved mountain on a miniature railway terrain base.

ChatGPT

Mountain Railway Photo to Model Landscape Diorama

Build a railway landscape miniature that preserves track geometry and integrates a train into realistic model terrain.

Use the uploaded photograph as the authoritative visual reference and transform it into one finished photograph of a handcrafted miniature diorama. Convert the photographed mountain railway into a carefully built model railway diorama. Preserve the track route, visible rails and sleepers, bridge or tunnel placement, mountain silhouette, and the orientation of any visible train. Keep two continuous rails at a consistent gauge, with wheels aligned on them and curves appropriate to the pictured rolling stock. Recreate terrain using carved foam rock faces, painted strata, gravel ballast, and fine ground flocking. Include only the rail structures and train cars that are visible; do not extend a train into unseen areas. Remove logos, route numbers, and readable signs while keeping the original color blocks. Use a long terrain base with a clean front cut edge. Photograph from a raised oblique angle that shows the track bending through the landscape and makes the miniature construction apparent. Apply clear morning-style side lighting, realistic bridge contact shadows, and sufficient focus to read the complete visible track route. Preserve the source scene's recognizable spatial relationships while translating materials into model-making equivalents. Use one coherent miniature scale throughout; do not confuse macro blur with actual miniaturization. Where a detail is unclear, simplify it conservatively instead of inventing a prominent object. Output one cohesive image, not a collage or a before-and-after comparison. Do not add captions, labels, watermarks, UI overlays, readable text, or branding.

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Layered paper market shadow box with striped awnings, produce stalls, two shopper silhouettes, and an open aisle.

ChatGPT

Market Photo to Layered Paper Diorama

Translate a market photograph into a dimensional paper scene with recognizable stalls and controlled visual density.

Use the uploaded photograph as the authoritative visual reference and transform it into one finished photograph of a handcrafted miniature diorama. Rebuild the photographed market as a handcrafted layered paper diorama. Preserve the main aisle, stall sequence, awning silhouettes, dominant color groups, and location of any principal visible shoppers. Construct the scene from matte cardstock with folded tabs, carefully cut edges, shallow box-shaped stalls, and several clearly separated depth planes. Simplify small produce into grouped paper shapes using colors and placements grounded in the reference. If people are visible, retain their approximate positions and poses as faceless paper silhouettes; do not introduce additional crowds. Keep price boards blank and omit logos or readable lettering. Frame the scene inside a shallow rectangular shadow box viewed almost front-on with a slight angle that reveals the layer spacing. Use soft light from the upper left to cast delicate, consistent shadows between paper planes. Keep all important paper layers legible and the box fully within a neutral studio composition. Preserve the source scene's recognizable spatial relationships while translating materials into model-making equivalents. Use one coherent miniature scale throughout; do not confuse macro blur with actual miniaturization. Where a detail is unclear, simplify it conservatively instead of inventing a prominent object. Output one cohesive image, not a collage or a before-and-after comparison. Do not add captions, labels, watermarks, UI overlays, readable text, or branding.

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Miniature fishing harbor with two boats, a wooden pier, ochre buildings, and blue-green resin water.

ChatGPT

Harbor Photo to Resin-Water Diorama

Recreate a photographed harbor as a miniature waterfront with convincing water and correctly scaled boats.

Use the uploaded photograph as the authoritative visual reference and transform it into one finished photograph of a handcrafted miniature diorama. Transform the harbor photograph into a physical waterfront model. Preserve the shoreline contour, quay height, pier directions, visible boat count, hull colors, and the placement of the main buildings. Construct the quay from scored plaster, piers from fine wood strips, and boats from painted model components with thin rigging where visible. Represent water as translucent tinted casting resin with shallow surface ripples. Boat hulls must intersect the water at plausible waterlines, with submerged portions visible only where the reference water clarity supports them. Keep reflections vertically aligned beneath their objects and softened by ripples. Remove readable vessel names and logos. Present the harbor on a rectangular tray base with a visible transparent front water edge and a solid supporting bottom. Use a low elevated three-quarter viewpoint, cool daylight with warm highlights on buildings, and moderate macro focus covering the main boats and quay. Keep the surrounding studio surface neutral and uncluttered. Preserve the source scene's recognizable spatial relationships while translating materials into model-making equivalents. Use one coherent miniature scale throughout; do not confuse macro blur with actual miniaturization. Where a detail is unclear, simplify it conservatively instead of inventing a prominent object. Output one cohesive image, not a collage or a before-and-after comparison. Do not add captions, labels, watermarks, UI overlays, readable text, or branding.

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Open-wall living room miniature with a teal sofa, wooden coffee table, cream rug, and floor lamp.

ChatGPT

Living Room Photo to Open-Wall Dollhouse Diorama

Turn an existing living room into a faithful miniature keepsake without redesigning its furnishings.

Use the uploaded photograph as the authoritative visual reference and transform it into one finished photograph of a handcrafted miniature diorama. Reproduce the photographed living room as a dollhouse-style corner model with the camera-facing wall removed. Preserve the visible floor plan, furniture positions, upholstery colors, window arrangement, rug pattern at a simplified readable scale, and the relative size of key objects. Model the sofa in woven miniature fabric, tables in stained thin wood, cushions with subtle stitched seams, and lamps in painted wire and opaque shades. Preserve decor only where it is visible and recognizable; do not invent unseen adjoining rooms. Remove readable lettering and brand marks. Make this a scaled reconstruction of the room rather than an interior renovation. Mount the room on a square base with exposed floor thickness and two visible enclosing walls. Use an elevated three-quarter view into the room, soft window-direction lighting consistent with the reference, and enough depth of field to keep the principal furniture sharp. Surround the model with a clean pale studio background. Preserve the source scene's recognizable spatial relationships while translating materials into model-making equivalents. Use one coherent miniature scale throughout; do not confuse macro blur with actual miniaturization. Where a detail is unclear, simplify it conservatively instead of inventing a prominent object. Output one cohesive image, not a collage or a before-and-after comparison. Do not add captions, labels, watermarks, UI overlays, readable text, or branding.

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Woodland trail diorama with carved trees, green undergrowth, and exposed soil layers along the front edge.

ChatGPT

Forest Trail Photo to Layered Woodland Diorama

Convert a woodland photograph into a tactile terrain model with a clear path and layered forest depth.

Use the uploaded photograph as the authoritative visual reference and transform it into one finished photograph of a handcrafted miniature diorama. Reconstruct the photographed woodland as a miniature terrain slice. Preserve the trail's exact direction, the main tree positions, slope changes, and the arrangement of prominent roots or rocks. Translate trunks into carved and painted wood, undergrowth into finely cut flocking, and exposed earth into textured pigment over sculpted foam. Arrange the background trees in gradually shallower layers while keeping their apparent scale consistent. Do not invent a waterfall, cabin, wildlife, or fantasy elements. Show a clean vertical soil cross-section along the front edge, with small root channels confined below the ground surface. Use an irregular low terrain base on a neutral tabletop and a slightly elevated viewpoint aligned with the trail. Light the model with soft canopy-like illumination and a restrained warm beam across the path. Keep the foreground textures and middle-distance trail sharp, allowing only the far tree layer to soften. Preserve the source scene's recognizable spatial relationships while translating materials into model-making equivalents. Use one coherent miniature scale throughout; do not confuse macro blur with actual miniaturization. Where a detail is unclear, simplify it conservatively instead of inventing a prominent object. Output one cohesive image, not a collage or a before-and-after comparison. Do not add captions, labels, watermarks, UI overlays, readable text, or branding.

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Miniature pastel shopfront block with a bicycle, scored pavement, and an exposed side wall on a wooden base.

ChatGPT

Neighborhood Street Photo to Shopfront Diorama

Rebuild a familiar street as a handcrafted miniature block while preserving its recognizable architecture.

Use the uploaded photograph as the authoritative visual reference and transform it into one finished photograph of a handcrafted miniature diorama. Translate the visible street frontage into a compact open-backed architectural diorama. Preserve the order of buildings, relative facade widths, doorway and window placements, roof profiles, pavement direction, and distinctive colors from the photo. Build walls from painted plaster board, windows from thin clear acetate, and paving from individually scored model tiles. Show a shallow cutaway at one side so wall thickness and miniature construction are visible. Retain only vehicles or people already visible, simplifying them into proportionate model pieces without making them the focus. Omit readable signage, logos, and license plates while keeping the shapes of their supports. Place the block on a low rectangular painted wooden plinth against a warm gray studio background. Use a slightly elevated three-quarter camera view, soft afternoon-style side lighting, delicate contact shadows, and moderate macro depth of field that keeps the entire principal frontage readable. Preserve the source scene's recognizable spatial relationships while translating materials into model-making equivalents. Use one coherent miniature scale throughout; do not confuse macro blur with actual miniaturization. Where a detail is unclear, simplify it conservatively instead of inventing a prominent object. Output one cohesive image, not a collage or a before-and-after comparison. Do not add captions, labels, watermarks, UI overlays, readable text, or branding.

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Seated adult wearing an oatmeal cardigan, ivory top, and olive trousers on a wooden chair.

ChatGPT

Cardigan and Wide-Leg Trousers Try-On in a Seated Pose

Try a relaxed knit outfit on a seated photo while preserving chair contact, bent-leg geometry, and knit texture.

Edit the supplied person photo into one photorealistic outfit try-on image. Treat that photo as the authority for identity, apparent age, skin tone, facial features, hair, body proportions, pose, camera angle, crop, background, and lighting. Treat additional garment photos only as clothing references; do not copy a garment model’s face, body, or setting. Replace the existing clothing with the referenced cardigan, base top, and wide-leg trousers while keeping the person seated exactly as photographed. Preserve the cardigan’s stitch pattern, button count, neckline, cuff structure, and length. Let the knit stretch or compress plausibly at bent elbows and the waist without stretching the pattern across empty space. Arrange the cardigan hem and trouser waistband around the seated torso, with fabric compression at the lap and knees. Keep the trouser legs distinct, following the actual bent-leg geometry and visible shoe positions. Respect the existing occlusion between clothing, hands, chair arms, and seat; add contact shadows only where new fabric overlaps those surfaces. Preserve chair shape, background, and lighting. Do not stand the person up, lengthen the legs, or add accessories. Preserve the original face and all visible anatomy; change only the clothing and any explicitly supplied replacement footwear, including physically necessary cloth occlusion and local shadows. Match the source image resolution and aspect ratio. Keep material detail sharp without oversmoothing skin. Do not invent unseen construction details: if an essential garment feature is unclear, ask for a clearer reference before generating. Produce a single finished image, not a collage or before-and-after panel, and add no captions, labels, watermarks, or invented logos. This is a visual styling preview, not a measurement-based fit or sizing guarantee.

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Adult wearing a charcoal suit and pale blue shirt against a warm gray studio backdrop.

ChatGPT

Tailored Suit and Shirt Try-On from Garment References

Preview a coordinated suit and shirt on your photo while preserving your proportions and the supplied tailoring details.

Edit the supplied person photo into one photorealistic outfit try-on image. Treat that photo as the authority for identity, apparent age, skin tone, facial features, hair, body proportions, pose, camera angle, crop, background, and lighting. Treat additional garment photos only as clothing references; do not copy a garment model’s face, body, or setting. Replace the existing upper and lower garments with the suit jacket, matching trousers, and shirt shown in the garment references. Match the supplied lapel shape, button arrangement, pocket positions, shirt collar, trouser rise, and leg cut. Seat the jacket naturally at the shoulders without widening the body; construct believable sleeve pitch and cuff exposure around the unchanged arms. Keep the shirt underneath the jacket, with coherent overlap at the collar and waist. Preserve the supplied fabric weave and create restrained, directional highlights appropriate to wool or the visible material. Let trouser creases follow the existing leg positions and keep hems clear of the floor. Retain the original shoes unless a shoe reference is explicitly supplied. Do not add a tie, pocket square, jewelry, or extra accessories. Preserve the original face and all visible anatomy; change only the clothing and any explicitly supplied replacement footwear, including physically necessary cloth occlusion and local shadows. Match the source image resolution and aspect ratio. Keep material detail sharp without oversmoothing skin. Do not invent unseen construction details: if an essential garment feature is unclear, ask for a clearer reference before generating. Produce a single finished image, not a collage or before-and-after panel, and add no captions, labels, watermarks, or invented logos. This is a visual styling preview, not a measurement-based fit or sizing guarantee.

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Woman wearing an emerald saree with a gold border and matching blouse in a softly lit studio.

ChatGPT

Saree and Blouse Try-On with Continuous Border Detail

Try a referenced saree and blouse with coherent pleats, border continuity, and natural fabric drape.

Edit the supplied person photo into one photorealistic outfit try-on image. Treat that photo as the authority for identity, apparent age, skin tone, facial features, hair, body proportions, pose, camera angle, crop, background, and lighting. Treat additional garment photos only as clothing references; do not copy a garment model’s face, body, or setting. Replace the current outfit with the referenced saree and blouse, using the supplied worn saree photo to guide its draping style. If no draping reference is supplied, use a conventional Nivi drape with front waist pleats and the pallu over the left shoulder. Preserve the source saree color, motif scale, border width, and fabric character; let the motifs and border bend with the folds instead of floating across them. Build a continuous wrap around the waist, plausible front pleats, and a pallu that responds naturally to the original arm positions. Match the blouse neckline and sleeve construction from its reference without changing the person’s body. Keep fabric opaque wherever the reference indicates opaque material and preserve the reference outfit’s coverage. Do not add jewelry, ceremonial markings, or embellishment absent from the supplied images. Retain the original footwear if visible. Preserve the original face and all visible anatomy; change only the clothing and any explicitly supplied replacement footwear, including physically necessary cloth occlusion and local shadows. Match the source image resolution and aspect ratio. Keep material detail sharp without oversmoothing skin. Do not invent unseen construction details: if an essential garment feature is unclear, ask for a clearer reference before generating. Produce a single finished image, not a collage or before-and-after panel, and add no captions, labels, watermarks, or invented logos. This is a visual styling preview, not a measurement-based fit or sizing guarantee.

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Adult in a camel overcoat layered over a cream sweater with dark trousers and brown boots.

ChatGPT

Winter Coat Layering Try-On with Correct Garment Overlap

Combine a referenced coat, sweater, and trousers with believable layering, volume, and sleeve overlap.

Edit the supplied person photo into one photorealistic outfit try-on image. Treat that photo as the authority for identity, apparent age, skin tone, facial features, hair, body proportions, pose, camera angle, crop, background, and lighting. Treat additional garment photos only as clothing references; do not copy a garment model’s face, body, or setting. Replace the existing clothing with the coat, sweater, and trousers shown in the supplied references. Keep the coat open enough to reveal the sweater, unless the reference explicitly shows a closed fastening. Establish a clear layer order: body, sweater, coat, with trousers below the sweater hem as appropriate to the supplied cut. Preserve the coat’s collar geometry, seam placement, length, buttons, and material weight. Allow the outer coat silhouette to gain the volume required by the actual layers while leaving the underlying person’s proportions unchanged. Show plausible sleeve thickness, a small amount of sweater cuff where the references support it, and localized shadows where collar, lapels, and sleeves overlap. Preserve the original background and weather rather than adding snow or breath effects. Retain footwear and add no scarf, hat, or gloves unless included in the references. Preserve the original face and all visible anatomy; change only the clothing and any explicitly supplied replacement footwear, including physically necessary cloth occlusion and local shadows. Match the source image resolution and aspect ratio. Keep material detail sharp without oversmoothing skin. Do not invent unseen construction details: if an essential garment feature is unclear, ask for a clearer reference before generating. Produce a single finished image, not a collage or before-and-after panel, and add no captions, labels, watermarks, or invented logos. This is a visual styling preview, not a measurement-based fit or sizing guarantee.

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Woman wearing a light denim jacket, white tee, and dark wide-leg jeans against a concrete backdrop.

ChatGPT

Denim Jacket and Jeans Try-On with Matching Construction

Transfer a denim outfit while retaining its wash, stitching, pockets, and distinct jacket and jean cuts.

Edit the supplied person photo into one photorealistic outfit try-on image. Treat that photo as the authority for identity, apparent age, skin tone, facial features, hair, body proportions, pose, camera angle, crop, background, and lighting. Treat additional garment photos only as clothing references; do not copy a garment model’s face, body, or setting. Replace the current clothing with the referenced denim jacket, plain base top, and jeans. Preserve each garment’s own wash rather than forcing all denim to the same color. Reproduce the visible panel seams, yoke, contrast stitching, pocket geometry, hardware placement, and any explicitly shown distressing. Keep the jean rise and leg shape faithful to the reference while fitting the cloth around the unchanged hips and legs. Place realistic denim tension folds at elbows, knees, and the seated or standing hip angle present in the person photo. Maintain separate jacket, base-layer, waistband, and trouser boundaries. Do not create additional rips, logos, belts, or accessories. Preserve the original shoes and prevent the trouser hem from merging into them. Preserve the original face and all visible anatomy; change only the clothing and any explicitly supplied replacement footwear, including physically necessary cloth occlusion and local shadows. Match the source image resolution and aspect ratio. Keep material detail sharp without oversmoothing skin. Do not invent unseen construction details: if an essential garment feature is unclear, ask for a clearer reference before generating. Produce a single finished image, not a collage or before-and-after panel, and add no captions, labels, watermarks, or invented logos. This is a visual styling preview, not a measurement-based fit or sizing guarantee.

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Woman wearing a navy abaya with cream cuff piping and a taupe headscarf in an off-white studio.

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Abaya and Headscarf Try-On with Opaque Layered Drape

Visualize a referenced abaya and headscarf with consistent coverage, natural folds, and preserved facial identity.

Edit the supplied person photo into one photorealistic outfit try-on image. Treat that photo as the authority for identity, apparent age, skin tone, facial features, hair, body proportions, pose, camera angle, crop, background, and lighting. Treat additional garment photos only as clothing references; do not copy a garment model’s face, body, or setting. Replace the existing outfit with the referenced abaya and headscarf, following the supplied worn outfit image for closure, scarf arrangement, and coverage. Preserve the abaya silhouette, sleeve opening, hem length, fabric opacity, and any visible piping. Drape the scarf around the head and shoulders without narrowing the face, changing facial landmarks, or adding makeup. Match the referenced hair and neck coverage; do not expose areas covered by the target outfit. Build clear scarf-to-shoulder overlap and a continuous abaya surface with vertical gravity folds, leaving sufficient garment ease around the unchanged body. Preserve the original hands and their position, correctly occluding sleeves behind or in front of them. Keep the hem above the floor where the reference supports it. Retain original footwear when visible and add no jewelry or decorative motifs. Preserve the original face and all visible anatomy; change only the clothing and any explicitly supplied replacement footwear, including physically necessary cloth occlusion and local shadows. Match the source image resolution and aspect ratio. Keep material detail sharp without oversmoothing skin. Do not invent unseen construction details: if an essential garment feature is unclear, ask for a clearer reference before generating. Produce a single finished image, not a collage or before-and-after panel, and add no captions, labels, watermarks, or invented logos. This is a visual styling preview, not a measurement-based fit or sizing guarantee.

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