The Pain Point

For e-commerce designers, one of the biggest frustrations is text on banners.

Using Midjourney for promotional images before — text was basically gibberish, or looked like "alien writing." Using Stable Diffusion with ControlNet + text rendering plugins —折腾半天 (fussed around for a long time), results were still average.

Then GPT Image 2 came out, claiming "99% accuracy in Chinese text rendering."

My first reaction: Really?

After 8 tests: GPT Image 2 is genuinely better at "text on e-commerce images" than previous AI tools. But "99% accuracy" is still an overstatement. It's more like 80-90%.

Case 01: Promotional Banner

Case 01 / 08

618 Sale E-commerce Banner

Prompt
Generate a 618 sale e-commerce banner. Size: 750x300px (mobile banner standard). Requirements: Main title: "618 Mid-Year Sale" (centered, super large, bold); Subtitle: "50% Off Storewide, Starts Tonight 8PM" (centered, medium); Background: red primary (#e74c3c), gold decorative elements; Visual elements: gift boxes, ribbons, countdown timer; Urgency: lively shopping atmosphere. Output: high-res, suitable for mobile display.
PASSText: Accurate · Visual Quality: Average

What worked: Banner generated. Red background with gold 618 atmosphere correct. Main title "618 Mid-Year Sale" text rendered accurately, no gibberish. Subtitle also rendered correctly.

What didn't work: Countdown "03 Days 12 Hours" position slightly off, not at visual focal point. Gift boxes and ribbons feel like free stock素材 (materials) pasted together.

Conclusion: Promotional banner generation: GPT Image 2 produces "usable drafts." Text accuracy is a qualitative leap. Visual impact and material quality still need designer optimization.

Case 02: Product Hero Image

Case 02 / 08

Wireless Earbuds Product Photo

Prompt
Generate a wireless earbuds product hero image. Requirements: Background: pure white (#ffffff); Product: in-ear wireless bluetooth earbuds, white version; Lighting: professional e-commerce product photography lighting with highlights and reflections; Angle: 45-degree top-down, showing earbuds and charging case; Quality: high-end, refined, like Apple.com product photos; No text, no watermark, no shadow (pure white background); Output: transparent background PNG, 1024x1024px.
PARTIALConcept: Good · Detail: Needs Professional Photo

What worked: Earbuds generated. White background, 45-degree top-down angle, has "e-commerce product photo" feel.

What didn't work: Earbud detail precision insufficient — enlarged to 1024x1024, edges are slightly blurry. "Professional lighting" AI interpreted as "overall bright," not real product photography lighting setup. If placed alongside real photos on Taobao/JD product pages, AI-generated version would show.

Conclusion: Product hero image generation: good for "temporary placeholder" or "inspiration reference." For official e-commerce pages, still need real photography or high-quality 3D rendering.

Case 03: Promotional Poster

Case 03 / 08

"50% Off Limited Time" Poster with Model + Product

Prompt
Generate a "50% Off Limited Time" promotional poster. Size: 750x1000px (mobile vertical). Main title: "50% Off" (large, centered, eye-catching); Subtitle: "Only 3 Days, Miss It Wait a Year" (medium, creating urgency); Person: young Asian woman unboxing delivery, surprised expression; Product: cosmetics peeking from delivery box (lipstick, face cream); Colors: pink primary (#ff6b9d), female shopping atmosphere; Bottom: brand logo space reserved (blank, manually added later); Output: high-res, suitable for WeChat Moments/Xiaohongshu sharing.
PASSText: Accurate · Atmosphere: Good

What worked: Poster generated. Person, product, title all present. "50% Off" text rendered accurately. Pink atmosphere correct.

Conclusion: Promotional poster generation: good for "social media sharing images" (WeChat Moments, Xiaohongshu). Text accurate, visual atmosphere on point. For offline print posters, precision still not enough.

Case 04: Lifestyle Scene Image

Case 04 / 08

Coffee Cup on Nordic Desk

Prompt
Generate a product lifestyle scene image. Subject: white ceramic coffee mug with simple blue line decoration on body. Scene: Nordic-style office desk. Desktop: light wood color, tidy. Background: white wall with potted plants (monstera). Lighting: natural light from left window, soft. Atmosphere: serene, quality feel, suitable for lifestyle e-commerce. View: eye-level, shallow depth of field (background slightly blurred). Output: 3:4 ratio, suitable for e-commerce detail page display.
PASSScene: Excellent · Atmosphere: Strong

What worked: Scene image generated. Coffee mug, Nordic desk, potted plants — all present. Lighting and atmosphere feel good. Truly has "lifestyle e-commerce" refined sense.

Conclusion: Product lifestyle scene generation: one of the most practical GPT Image 2 e-commerce use cases. Quickly generates "product in life context" atmosphere images, much cheaper than real photography. For series images, need multiple generations to pick the best.

Case 05: Model Outfit Swap

Case 05 / 08

AI-Powered Model Outfit Change

Prompt
Reference this model photo. Change the model into a new summer collection dress. Requirements: Dress style: fresh, floral, suitable for summer; Color: white base with small florals (blue/green tones); Keep model's original pose, expression, lighting; Only change clothes, not background, hair, or face; Output: high-res, natural, not overdone.
LIMITEDPrecision: Low · Good for: Creative Exploration

What worked: Outfit change effect generated. Model wearing floral dress.

What didn't work: Outfit swap: cannot achieve "precise partial editing" yet. GPT Image 2's inpainting capability still has a gap compared to professional image editing tools (like Photoshop's Generative Fill).

Conclusion: Model outfit swap: good for "roughly change outfit" creative exploration, not for "precise outfit change."

Case 06: Multi-Product Layout

Case 06 / 08

Skincare Set Display

Prompt
Generate a skincare set display image with 3 products: (1) Essence (dropper bottle, transparent); (2) Face cream (round jar, white with gold lid); (3) Face mask (individual packaging, 5 pieces). Requirements: Layout: 3 products neatly arranged, top-down angle; Background: light pink (#fce4ec), gentle atmosphere; Lighting: soft, showing product texture; No text, no watermark; Output: square (1:1), suitable for e-commerce detail pages or social media.
PARTIALLayout: Good · Precision: Average

What worked: All 3 products generated. Neatly arranged, top-down angle correct.

Conclusion: Multi-product layout: good for "set display inspiration reference." For official e-commerce pages, recommend real photography + post-production finishing.

Case 07: User Review Style Image

Case 07 / 08

Lipstick Swatch "User Review" Style

Prompt
Generate a "user review" style lipstick swatch photo. Scene: natural lighting, hand swatch (lipstick applied on back of hand); Lipstick shade: nude/mauve (daily style); Atmosphere: real, not overdone, like an ordinary user taking photo to share; Quality: mobile photo quality (not professional photography); Lighting: natural light, slightly overexposed (realistic feel); No text, no watermark; Output: 4:3 ratio, suitable for Xiaohongshu/e-commerce platform review section.
PARTIALTexture: Good · "Real" Feel: 80%

What worked: Swatch photo generated. Back of hand, lipstick, natural light — skin texture and quality hard to distinguish from real.

Conclusion: User review style generation: good for "review section image reference," or "what our product looks like when users review." Risk in using directly as "real user swatch photo."

Case 08: Brand Story Long Image

Case 08 / 08

"From Coffee Bean to Cup" Brand Story

Prompt
Generate a brand story long-image. Theme: "From Coffee Bean to a Cup of Coffee." Size: 750x2000px (mobile long-image). Content in 4 sections: (1) Coffee bean origin (Ethiopia, highland cultivation); (2) Roasting process (medium-light roast, preserving fruit notes); (3) Hand brew process (V60 pour-over, 92-degree water); (4) Finished product (a cup of coffee, latte art pattern). Requirements: Illustration style: hand-drawn feel, warm colors; Text: each section has 8-12 character title (accurately rendered); Narrative feel: like reading a brand story, not hard advertising; Output: long-image, suitable for blog or e-commerce detail page header.
PASSNarrative: Good · Consistency: Average

What worked: Brand story long-image generated. All 4 sections present. Hand-drawn style correct.

Conclusion: Brand story long-image generation: GPT Image 2's most promising e-commerce direction. Quickly generates "narrative e-commerce content," much cheaper than hiring illustrators. But consistency control still needs optimization.

The Verdict

GPT Image 2 can replace part of "junior e-commerce designer" work, but cannot replace "brand-aware, senior designers."

Junior designer work — placing product images in scenes, adding promotional text, adjusting colors — GPT Image 2 can score 60-70%.

But what senior designers do — "brand sense," "narrative quality," "consistent visual language" — GPT Image 2 is still far behind.

My recommendation: Use GPT Image 2 for rapid e-commerce image drafts and inspiration → Senior designer reviews brand sense and quality → If necessary, supplement key images with real photography or 3D rendering.

Summary Table

CaseTypeRatingBest Use
01Promotional Banner4/5Text accurate, good for drafts
02Product Hero3/5Good for placeholders; real photos for official use
03Promotional Poster4/5Social media sharing images, works well
04Lifestyle Scene5/5Most practical scenario, low cost
05Model Outfit Swap2/5Precision not enough, good for creative exploration
06Multi-Product Layout3/5Inspiration reference; needs finishing for official use
07Review Style3/5Simulates user reviews; don't use as real photos
08Brand Story4/5Most promising direction, worth deeper exploration