Nanobana Editorial
GPT Image 2.5 vs. Seedream 5.0 Pro: A Practical Guide
Compare GPT Image 2.5 and Seedream 5.0 Pro with Nanobana’s practical guide to identity, editing, storyboards, and design, plus 18 prompts and review checks.
On this page
- Introduction
- Quick Guide: Choose the Task Before the Model
- People and Pets: Keep Identity Through Every Change
- 1. Everyday Portraits Without the Polished AI Look
- 2. A Character Sheet That Still Looks Like One Person
- 3. Relighting Without Accidental Beautification
- 4. Pet Photos With Consistent Markings
- Precise Editing: Change the Request, Preserve the Rest
- 5. Local Object Edits
- 6. Product Edits Across Several Rounds
- 7. Poster Copy Changes You Can Actually Audit
- 8. Remove People and Their Reflections
- Storyboards and Spatial Instructions: Make the Sequence Work
- 9. Action Sequences With Clear Stages
- 10. Storyboards That Track the Prop
- 11. Turn a Sketch Into a Reliable Layout
- Product and Brand Design: Inspect the Small Things
- 12. Product Ads Without a Product Redesign
- 13. Rainy Interiors and Plausible Reflections
- 14. A Brand System Across Different Formats
- 15. Exploded Views With Correct Labels
- Text, Numbers, and Materials: Verify What Looks Convincing
- 16. Multilingual Signs and Dense Copy
- 17. Charts That Match the Data
- 18. Materials, Counts, and Physical Plausibility
- Build Your Own Comparison Scorecard
- Compare Cost Per Usable Image
- Frequently Asked Questions
- Which Model Should I Try First?
- Are These Nanobana Benchmark Results?
- Can I Use These Prompts Without Reference Images?
- Which Model Version Should I Record?
- Can Generated Posters and Charts Go Straight Into Production?
- Final Thoughts

Introduction
A great-looking AI image can still be the wrong image. A character loses a familiar accessory. A product's matte finish turns metallic. A revised event poster keeps the old start time. Those details decide whether a result is ready to use or needs another round.
This GPT Image 2.5 vs. Seedream 5.0 Pro guide looks at the jobs behind the pictures: preserving identity, making precise edits, building storyboards, and producing readable design assets. Below are 18 practical examples, fresh prompts, and checks you can apply to your own work.
Editorial note: This guide interprets third-party examples reported by Xiao Wai’s AI Toolbox on September 9, 2026; Nanobana has not independently reproduced those tests. The images below reproduce the source author’s reference images and reported model outputs, with clearly identified reference images and comparison outputs. Our shorter prompts are new starting points, not the exact prompts used to create those images.
The useful takeaway from that collection is conditional: GPT was often the author's preferred starting point for detailed constraints; Seedream 5.0 Pro earned praise for several layouts and lighting treatments. Neither delivered flawless results across every task.
Quick Guide: Choose the Task Before the Model
| Your goal | What the source reported | What to check yourself |
|---|---|---|
| Keep a recognizable person or pet | GPT often retained more small identity details | Facial features, markings, accessories, and their correct side |
| Revise existing artwork | GPT completed more changes in one dense text-edit example; simpler edits were closer | Every requested change and every protected area |
| Build an action sequence | GPT followed the requested grid and numbering more closely | Order, body mechanics, prop ownership, and continuity |
| Create atmospheric interiors | The author preferred Seedream 5.0 Pro's rainy-night lighting | Furniture geometry, shadows, reflections, and readable dark areas |
| Explore a brand direction | Seedream 5.0 Pro received praise for material-specific layouts | Logo consistency and missing or invented elements |
| Make charts or instructional graphics | Results varied with the task | Arithmetic, labels, scale, and object-to-caption matching |
Treat these observations as a shortlist for your next trial. They are not win rates, benchmark scores, or guarantees.
People and Pets: Keep Identity Through Every Change
1. Everyday Portraits Without the Polished AI Look
In the source's market and convenience-store scenes, the author preferred GPT's less staged expressions and more ordinary skin texture. Seedream 5.0 Pro still handled some individual materials and actions well. Realism was not a clean sweep for either model.
Source example: Market-scene realism.
| GPT Image 2.5 | Seedream 5.0 Pro |
|---|---|
![]() | ![]() |
A useful brief describes what someone is doing, rather than asking for “ultra-realistic” over and over. Check whether hands actually grip objects and whether expressions fit the activity.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Photograph three adult coworkers closing a neighborhood flower stall. One lifts a bucket, another folds wrapping paper, and the third checks the doorway. Overcast daylight, natural skin texture, slightly uneven framing. Distinct faces, believable grips, no posed smiles or beauty retouching.
2. A Character Sheet That Still Looks Like One Person
The character-sheet example exposed a tradeoff: Seedream 5.0 Pro's expressions were easier to distinguish, while some accessories changed or disappeared. GPT retained details better in the author's account, but several expressions looked too similar.
Source example: Character identity and costume sheet.
Source character reference

Source outfit reference

| GPT Image 2.5 | Seedream 5.0 Pro |
|---|---|
![]() | ![]() |
Check identity and performance separately. A convincing angry expression is useful only if the actor still looks like the reference. Begin with a small sheet before requesting many poses at once.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Use the uploaded adult portrait as the identity reference. Make one sheet with a large neutral portrait, front and side full-body views, and three expressions: curious, amused, frustrated. Preserve age, face shape, hairline, jacket, and earrings. Plain gray background; no added accessories.
3. Relighting Without Accidental Beautification
Changing light should change shadows, not quietly reshape a person's face. The source preferred GPT's retention of freckles, curls, and a hair clip across different settings; Seedream 5.0 Pro's more dramatic treatment also made the face appear younger.
Source example: Portrait relighting.
Source reference image

| GPT Image 2.5 | Seedream 5.0 Pro |
|---|---|
![]() | ![]() |
Compare the nose, jaw, and eye spacing at the same viewing size. Then check whether the new illumination feels plausible, rather than merely more flattering.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Place the person in the reference beside a bakery window after sunset. Warm light reaches one cheek; cool street light reaches the other. Preserve age, freckles, facial proportions, hairstyle, and clothing. Change the setting and illumination only. Keep natural skin detail.
4. Pet Photos With Consistent Markings
The cat comparison turned on a small but decisive detail: the reference had one white front paw, and Seedream 5.0 Pro introduced additional white paws in one view. The author found GPT steadier on that constraint.
Source example: Cat identity across poses.
Source reference image

| GPT Image 2.5 | Seedream 5.0 Pro |
|---|---|
![]() | ![]() |
Write down asymmetric markings before generating variations. “The same cat” is less useful than specifying which paw, ear, or side of the face carries a distinctive mark.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Create three photos of the reference cat: sitting, stretching, and looking back. Preserve the exact facial color pattern, the single white front paw on its original side, eye color, and collar. Vary the camera angle without mirroring the markings. One cat per frame.
Precise Editing: Change the Request, Preserve the Rest
5. Local Object Edits
A room-editing example asked GPT to move a lamp, recolor a shelf, and remove a book. The author considered much of the scene preserved but noticed the lamp shade's proportions had shifted.
Source example: Room objects before and after local edits.
| Source reference image | GPT Image 2.5 |
|---|---|
![]() | ![]() |
For precision work, start with one change. Inspect scale and perspective before adding the next instruction. An object can land in the correct location while becoming a different object.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Move only the small desk lamp from the rear-left corner to the front-left corner of this desk. Keep its size, shade shape, finish, and orientation. Preserve the camera position, furniture, books, and lighting. Rebuild only the newly exposed area and necessary contact shadow.
6. Product Edits Across Several Rounds
The source's three-stage speaker edit preserved a changed handle color while updating the setting and adding a card. That is encouraging for iterative work, but it is one reported sequence, not a measured success rate.
Source example: Speaker edits across three rounds.
Source reference image

| GPT Image 2.5 — Round 1 | GPT Image 2.5 — Round 2 |
|---|---|
![]() | ![]() |
| GPT Image 2.5 — Round 3 |

Save every approved version. Compare each new output with both the preceding image and the original, since subtle changes can accumulate unnoticed.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Using the latest approved image, add one small blank cream card beside the speaker. Keep the approved burgundy handle, stone surface, camera angle, grille, controls, and existing lettering exactly as shown. Do not redesign or sharpen the product.
7. Poster Copy Changes You Can Actually Audit
In a dense edit, GPT completed the reported changes while Seedream 5.0 Pro missed a time update. In a simpler three-field edit, both changed the requested text, though surrounding texture and brightness still moved.
Source example: Multiple text edits on an event poster.
Source reference image

| GPT Image 2.5 | Seedream 5.0 Pro |
|---|---|
![]() | ![]() |
Use a written checklist for every field. If preserving the original artwork precisely matters, editable text layers remain a useful finishing step.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Edit only these poster fields: replace “Saturday” with “Sunday,” “14:00” with “15:30,” and “Room A” with “Room C.” Match the existing typography and placement. Preserve every other word, illustration, line, color, and margin. Keep the original crop.
8. Remove People and Their Reflections
Both models reportedly removed passersby convincingly, but some shop-window merchandise also changed. A clean repair is not proof that everything outside the obstruction stayed untouched.
Source example: Removing passersby from a bookstore photograph.
Source reference image

| GPT Image 2.5 | Seedream 5.0 Pro |
|---|---|
![]() | ![]() |
Check glass, shadows, paving joints, and visible merchandise. For a storefront image, a newly invented book cover or display item may matter as much as the removed person.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Remove the person nearest the entrance, including their shadow and glass reflection. Reconstruct the doorway and pavement from the surrounding geometry. Preserve the storefront lettering, visible merchandise, plants, camera angle, and daylight. Do not invent a new window display.
Storyboards and Spatial Instructions: Make the Sequence Work
9. Action Sequences With Clear Stages
GPT followed the requested 12-frame grid and numbering more closely in the source's movement study. Seedream 5.0 Pro changed the arrangement, and its result read more like separate poses. Even GPT's takeoff and landing needed clearer separation.
Source example: Twelve-frame character movement study.
| GPT Image 2.5 | Seedream 5.0 Pro |
|---|---|
![]() | ![]() |
A shorter sequence makes body mechanics easier to inspect. Look for a changing center of gravity, contact with the floor, and clothing that responds to movement.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Make a six-frame side-view study of one adult stepping over a low curb: approach, weight shift, lifted foot, forward step, landing, balance restored. Keep the camera, outfit, person, and curb fixed. Number frames 01–06. Show full bodies and distinct motion stages.
10. Storyboards That Track the Prop
The source's longer storyboard favored GPT for narrative order, yet one shot still put the envelope in the wrong hand. Seedream 5.0 Pro duplicated both a frame number and the prop. In a separate six-frame story, both maintained the broad narrative, while GPT had a hand error.
Source example: Twelve-shot envelope handover storyboard.
| GPT Image 2.5 | Seedream 5.0 Pro |
|---|---|
![]() | ![]() |
Review the scene as a continuity editor would: who holds the object, where everyone stands, and what changed between shots.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Create six storyboard frames of an adult librarian finding a red notebook and returning it to its owner. Show discovery, inspection, recognition, approach, handover, and departure. Keep one notebook, consistent faces and clothes, and clear hand placement. No dialogue or extra frames.
11. Turn a Sketch Into a Reliable Layout
The staging and architecture examples tested whether the models respected a supplied spatial plan. The author preferred GPT's placement in the character scene; both broadly preserved the gallery's stairs, window, and mezzanine.
Source example: Gallery sketch converted into an architectural image.
Source reference image

| GPT Image 2.5 | Seedream 5.0 Pro |
|---|---|
![]() | ![]() |
Mark the fixed relationships first. A staircase must connect to the upper level, and a foreground figure must obscure the intended part of the room. Decorative detail comes later.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Turn this floor-level sketch into a realistic small gallery interior. Preserve the entrance at left, central column, right-side staircase, and rear mezzanine. The staircase must connect to the mezzanine. Keep both people in their marked positions. Use pale plaster and oak; do not add rooms.
Product and Brand Design: Inspect the Small Things
12. Product Ads Without a Product Redesign
The headphone example illustrates a commercial problem: the source admired Seedream 5.0 Pro's rim lighting but found that the ear-cup finish had become more metallic. GPT looked closer to the supplied product in that respect.
Source example: Headphones placed in a desert advertising scene.
Source reference image

| GPT Image 2.5 | Seedream 5.0 Pro |
|---|---|
![]() | ![]() |
For client work, shape and material fidelity belong on the approval checklist. Compare the silhouette, seams, controls, lettering, and finish before evaluating the background.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Place the reference headphones on a dark stone shelf near a large window. Preserve the exact silhouette, matte finish, stitching, hinges, and existing logo. Add soft morning light and a believable contact shadow. Keep the product fully visible. No new lettering or accessories.
13. Rainy Interiors and Plausible Reflections
The author preferred Seedream 5.0 Pro's rainy-night interior for its balance of cool exterior light and warm lamplight. GPT kept the furniture arrangement but gave the floor a brighter, more polished appearance.
Source example: Daytime living room converted to a rainy night.
Source reference image

| GPT Image 2.5 | Seedream 5.0 Pro |
|---|---|
![]() | ![]() |
A separate perfume example offered no confirmed winner for mirror physics. Attractive highlights alone cannot establish that a reflection is geometrically correct.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Change this living room to a rainy evening. Keep all furniture, objects, and window divisions fixed. Light the room with the existing table lamp and faint cool window light. Add restrained rain on the glass and material-appropriate reflections. Preserve the floor's original finish.
14. A Brand System Across Different Formats
Seedream 5.0 Pro received praise for adapting a tea brand to different materials, while GPT repeated some treatments. Both introduced execution problems: a missing logo in one case and an unrequested decorative element in another.
Source example: Tea brand identity across six materials.
| GPT Image 2.5 | Seedream 5.0 Pro |
|---|---|
![]() | ![]() |
The packaging and exhibition examples reinforced the same lesson. Compare each item against an approved master, rather than against the last generated variation.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Develop three flat layouts for the supplied brand: a square label, a narrow sleeve, and a landscape card. Keep the supplied logo unchanged, with the same two colors and type style. Adapt spacing to each format. Use only the supplied copy; no extra badges or claims.
15. Exploded Views With Correct Labels
The product-disassembly example favored GPT for matching compartments, objects, and labels. Seedream 5.0 Pro added slots and pointed some labels at the wrong parts.
Source example: Coffee travel-kit exploded view with part labels.
| GPT Image 2.5 | Seedream 5.0 Pro |
|---|---|
![]() | ![]() |
This matters whenever a picture teaches someone how something fits together. Treat generated diagrams as drafts and check them against the actual product or a verified technical drawing.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Create an exploded illustration of a fictional travel watercolor kit with four parts: lid, palette, brush tray, and base. Separate them along one vertical axis. Use exactly four labels, each connected to the correct part. Off-white background, clear spacing, no invented components.
Text, Numbers, and Materials: Verify What Looks Convincing
16. Multilingual Signs and Dense Copy
In the four-language sign example, the source reported a Korean spelling error in Seedream 5.0 Pro's output, while GPT misplaced some icons. Other text-heavy layouts showed substitutions or unsolicited copy.
Source example: Planetarium sign in Chinese English Japanese and Korean.
| GPT Image 2.5 | Seedream 5.0 Pro |
|---|---|
![]() | ![]() |
Separate language accuracy from layout quality. Have a fluent reader review each language, and compare against supplied text character by character. A neat paragraph can still contain a wrong word.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Design a simple bilingual museum notice using exactly this copy: “Open 10:00–18:00” and “Ouvert de 10 h à 18 h.” Put each language on its own line with equal prominence. Add one clock icon at left. No additional words, translation, dates, or decorative lettering.
17. Charts That Match the Data
The source reported good results when figures and summaries were supplied, but both models failed a separate calculation task. The source's commentary also contains an arithmetic inconsistency: its listed weekly values sum to revenue of 60,600 and costs of 34,800, giving profit of 25,800. Its later reference to 34,500 as total costs does not match those inputs.
Source example: Bakery performance chart with calculation errors.
| GPT Image 2.5 | Seedream 5.0 Pro |
|---|---|
![]() | ![]() |
That is a reason to check the review itself, too. Calculate totals in a spreadsheet, then evaluate the image's labels, axis scale, and bar heights.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Create a flat bar chart titled “Sample Orders.” Use these fictional values: January 20, February 30, March 40. Start the vertical axis at zero with equal intervals. Print each value above its bar and label the graphic “Illustrative data.” No totals, forecasts, or 3D effects.
18. Materials, Counts, and Physical Plausibility
The glass-device example split the result: GPT's material rendering impressed the author, but Seedream 5.0 Pro followed the requested battery arrangement more closely. In the miniature greenhouse example, both exceeded the specified droplet count.
Source example: Transparent glass handheld game device.
| GPT Image 2.5 | Seedream 5.0 Pro |
|---|---|
![]() | ![]() |
Choose a few visible constraints you can count. Judge material appearance separately from those constraints, and avoid inferring physical accuracy from beautiful reflections.
Try a related prompt — this is a new brief, not the exact source-image prompt.
Prompt
Photograph a fictional transparent desktop clock on a matte surface. Show a thick clear enclosure, one circular dial, and exactly two batteries side by side. Keep the internal layout simple and visible. Soft side light, restrained reflections, realistic contact shadow, no added components or text.
Build Your Own Comparison Scorecard
Use the same references and brief in both tools. Record the displayed model name, date, settings, image dimensions, attempts, and edits. Keep unsuccessful outputs so your comparison reflects the work required to get an acceptable result.
| Criterion | A practical passing check |
|---|---|
| Identity | Distinctive features and asymmetric details remain recognizable |
| Instructions | Requested counts, positions, and changes are present |
| Continuity | People, objects, and approved edits remain consistent |
| Text and data | Copy, calculations, labels, and visual scales agree |
| Finish | Materials, lighting, anatomy, and composition suit the job |
Define any non-negotiable requirements before choosing a favorite. A wrong product label can rule out an otherwise impressive image. If multiple attempts disagree, report that variation instead of selecting only the best result.
Compare Cost Per Usable Image
The cheapest generation may require the most cleanup. Compare total generation charges, paid retries, review time, and finishing work for the same deliverable. Divide that total by the number of images you would actually approve.
Check current prices, regional availability, and plan terms in the tool you use. This article does not establish today's pricing, free allowances, or generation speed. Keep those purchase decisions separate from the third-party visual observations above.
Frequently Asked Questions
Which Model Should I Try First?
For identity-sensitive edits and tightly specified sequences, the source gives reasons to try GPT first. For atmospheric lighting and brand-layout exploration, Seedream 5.0 Pro also produced work the author preferred. Run a small trial using your actual assets before choosing a workflow.
Are These Nanobana Benchmark Results?
No. The comparisons summarize a third-party collection dated September 9, 2026. Nanobana has not reproduced it under controlled conditions. The images are the source author’s examples, not Nanobana test results. Our original prompts suggest related tests and do not reproduce the full briefs that generated the pictured outputs.
Can I Use These Prompts Without Reference Images?
The portrait, pet, product, and editing prompts depend on uploaded references. Without them, the tool has nothing specific to preserve. Use your own assets or ones you have permission to use, and adapt the details to match.
Which Model Version Should I Record?
Record the exact model name and version shown in the tool you use. Regional product labels and API identifiers can differ, so keep those details with your comparison.
Can Generated Posters and Charts Go Straight Into Production?
Review them first. Proofread all text, calculate numbers independently, inspect labels and reflections, and confirm product details. For critical copy or data, finish the approved artwork in an editor with editable text and chart elements.
Final Thoughts
Choose the result that satisfies the brief and survives inspection. These examples suggest useful places to start, but your own references, required details, and tolerance for cleanup should decide which workflow earns a place in your process.
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