Best for “GPT Image 2 Free”, app launch, newsletter, and product announcement graphics with short text.
Square editorial poster. Exact headline "CREATE WITHOUT WAITING". Cream paper, black geometric blocks, small AI image thumbnails, no extra text.
Start a GPT Image 2 edit from AI Edit Photo: readable posters, multi-reference edits, product shots, UI mockups, and exact text workflows.
These GPT Image 2 examples target the search demand now rising around GPT Image, ChatGPT Image, OpenAI image, ChatGPT Images 2.0, and no sign-up image generation. Every image below was generated with GPT Image 2 through AI Edit Photo's GPT Image 2 pipeline, optimized as WebP, and paired with a reusable prompt that shows output type, subject, composition, exact text, references, and constraints.
Best for “GPT Image 2 Free”, app launch, newsletter, and product announcement graphics with short text.
Square editorial poster. Exact headline "CREATE WITHOUT WAITING". Cream paper, black geometric blocks, small AI image thumbnails, no extra text.
Covers “Duct Tape Free” and Duct Tape AI search intent: photorealistic layouts, readable text, and product-ad composition.
Photorealistic product poster for a matte black duct tape roll on a maple workbench. Exact headline "FIX IT FAST". Macro adhesive texture, warm side light.
Useful for landing page screenshots, game menus, dashboards, mobile onboarding, and product docs.
Realistic mobile app dashboard for an AI image studio. Clean cards, model controls, generated image gallery, warm modern design system, readable labels.
Prevents vague “use these images” prompts by assigning each reference a precise role.
Image 1 is the product. Image 2 is the color palette. Image 3 is the layout. Preserve Image 1 exactly, apply Image 2's palette, follow Image 3's composition.
Good for explainers, classroom cards, step diagrams, whiteboards, and article illustrations.
Clean educational infographic with three labeled stages. Large readable title, simple icons, arrows, short labels, white background, no tiny paragraph text.
The right pattern for background swaps, lighting changes, cleanup, and identity-sensitive edits.
Change only the background into a bright studio. Preserve subject identity, geometry, pose, clothing, camera angle, and object placement. No new objects.
For executive-ready systems diagrams, consulting proposals, transformation roadmaps, and technical strategy decks.
Executive-ready enterprise AI CRM architecture diagram. Show channels, CRM core, AI automation, data pipelines, integrations, security, observability, and operations. Premium consulting style.
Use for fictional brand campaigns, product launches, billboards, concept ads, and polished art direction tests.
Premium brand campaign for a fictional sustainable smart luggage company. Airport billboard, product hero, exact headline "MOVE LIGHTER", luxury ad style, no real brands.
Creates believable historical-looking materials that never existed: archive photos, documents, posters, and museum-style visuals.
Fictional 1970s space agency archive photo: engineers testing a lunar rover in a desert hangar, faded Kodachrome, stamped border, no real logos.
Useful for expressive lettering, handmade paper textures, editorial posters, album art, and gallery-style typography.
Contemporary Korean calligraphy poster on hanji paper. Large brush lettering "상상은 현실이 된다", ink wash, elegant red seal, gallery poster layout.
Builds convincing posters for fictional films, exhibitions, products, games, tours, and alternate-history campaigns.
Nonexistent 1980s science fiction movie poster titled "ORBITAL CITY". Airbrushed retro-futurist city above Earth, worn poster texture, no real actors.
Good for landing pages, SaaS dashboards, concept screens, feature pages, onboarding flows, and investor deck mockups.
Modern website UI for an enterprise AI analytics platform. CRM insights cards, pipeline charts, automation timeline, polished SaaS design, readable labels.
Creates plausible game UI, menus, in-game scenes, quest screens, shop pages, and playable-looking concept shots.
Screenshot from a nonexistent cozy strategy game. Isometric village, resource panels, quest dialogue, charming UI, painterly environment, no real IP.
Useful for documentary-style scenes, local atmosphere, editorial campaigns, concept boards, and cinematic environment tests.
Candid street photography at a rainy Seoul night market. Neon reflections, food stalls, umbrellas, documentary realism, natural motion blur, no brands.
Generates original comic pages, panel layouts, screentone studies, character moments, and pitch-ready visual sequences.
Nonexistent black-and-white manga page with four panels about an apprentice robot fixing a city clock. Screentones, dynamic panels, original characters.
Explores fictional event screens, crossover concepts, reward cards, game art direction, and in-game campaign mockups.
Fictional in-game collaboration event screen between an original fantasy RPG and an original racing game. Event missions, reward cards, polished UI, no real franchises.
GPT Image 2 rewards structure. Treat every prompt as a production brief with a clear artifact, visual facts, exact copy, and a preserve/change contract. This playbook merges the practical patterns behind OpenAI image prompting, fal's GPT Image 2 examples, and the generated examples above into one reusable workflow.
Default GPT Image 2 template: Scene: [where this happens, time of day, environment, background] Subject: [who or what is the main focus] Important details: [materials, clothing, texture, lighting, camera angle, lens feel, composition, mood] Use case: [product ad / UI screen / infographic / poster / editorial photo / diagram / concept frame] Constraints: [no watermark / no logos / no extra text / preserve face / preserve layout / exact copy only]
| API decision | Use this default | When to change it |
|---|---|---|
| Model | Use GPT Image 2 for new production image generation and editing workflows. | Use earlier models only for an already-validated legacy workflow, or a mini model when bulk draft volume matters more than first-pass quality. |
| Quality | Start with Medium for normal assets. Use Low for ideation and High for final text-heavy, identity-sensitive, or diagram-heavy work. | Raise quality after composition is right. High quality cannot rescue an unclear prompt, but it can protect small text, faces, product labels, and dense layouts. |
| Size | Use 1024 square, 1024x1536 portrait, or 1536x1024 landscape while iterating. | For API workflows, keep custom sizes on 16px boundaries, avoid extreme ratios over 3:1, stay below the max pixel budget, and treat near-4K as a final-pass target. |
| References | Give each uploaded image a role: base scene, product, garment, style, pose, palette, layout, or texture. | For multi-image edits, describe what is borrowed from each reference and what must remain locked in the base image. |
| Text | Use quoted copy, typography instructions, placement, contrast, and a "no extra words" constraint. | Use High when text is small, multi-line, table-like, menu-like, chart-like, or part of packaging/UI where spelling matters. |
| Edits | Write edits as a contract: Change only X. Preserve A, B, C. Match physical lighting and shadows. | Never ask for broad "improvement" and preservation in the same sentence. Separate the transformation from the invariants. |
| Workflow | Prompt contract | Production tactic |
|---|---|---|
| Generate from scratch | Scene, subject, details, use case, constraints. | Best for photoreal images, ads, logos, UI mockups, infographics, comics, slides, game screens, and fictional archive material. |
| Edit one image | Change: exactly what changes. Preserve: identity, geometry, labels, layout, lighting, camera angle, background, and surrounding objects. | Use for cleanup, object removal, relighting, weather swaps, product extraction, translation in images, and background replacement. |
| Combine multiple images | Image 1 = base scene, Image 2 = product, Image 3 = style, Image 4 = layout. Then state how they interact. | Use for virtual try-on, product-on-background compositing, style transfer, character consistency, and reference-driven campaigns. |
| High-fidelity text | Quote literal text, mark it EXACT TEXT, specify typography, placement, contrast, hierarchy, and "no extra words". | Use medium or high quality for dense labels, menus, charts, UI copy, packaging, posters, and diagrams. |
| Latency vs fidelity | Low for drafts, medium for normal production, high for small text, identity-sensitive edits, diagrams, dense UI, and final assets. | Start cheap and fast, then raise quality only after the composition is worth preserving. |
| Flexible sizing | Use multiples of 16, max edge below 3840, aspect ratio up to 3:1, and pixel count between 655,360 and 8,294,400. | Stay near 1024 or 2K while iterating. Treat 4K as final-pass or experimental because higher resolutions can be more variable. |
| Revision discipline | Make one change per turn: warmer light, remove one object, restore wall texture, enlarge the headline, or tighten crop. | Avoid giant correction prompts. Restate critical invariants on every edit to prevent drift. |
Scene: a small coastal market just after dawn. Subject: a fishmonger unpacking mackerel onto crushed ice. Details: rubber boots, wet concrete, warm work lamp, cold breath, paper ledger, 35mm documentary feel, realistic skin and fish scales. Use case: editorial newspaper photo. Constraints: no commercial styling, no watermark.
Create a realistic roadside billboard at sunset. Headline EXACT TEXT: "Fresh and clean". Typography: bold sans serif, centered left, high contrast, readable from distance. Layout: product on right, generous negative space. Constraints: no extra words, no duplicate text, no watermark, no extra logos.
Create a square social card with the exact title "ChatGPT Images 2.0 Free". Use editorial magazine spacing, large readable typography, cream background, small AI image examples, and no misspelled text. One headline only. No watermark. No extra words.
Remove every advertising sign and poster from the storefront windows. Preserve the awning, brick facade, mullions, reflections, sidewalk, people, lighting, white balance, and film grain exactly. Reconstruct clean glass naturally. No ghosting, no leftover adhesive marks, no watermark.
Create a vertical mobile onboarding screen for a fictional app called NESTING. Headline: "WELCOME TO NESTING". Supporting line: "A quieter way to gather people around a table." Buttons: "Get started" and "I already have an account". Warm cream background, coral primary button, rounded sans serif, exact readable copy, no real app branding.
Create a classroom infographic titled "CELLULAR RESPIRATION AT A GLANCE". Show glycolysis, Krebs cycle, and electron transport chain with arrows. Label glucose, pyruvate, ATP, NADH, FADH2, CO2, O2, and H2O. White background, simple icons, readable labels, no tiny body copy.
Image 1 is the person to preserve. Image 2 is the jacket. Image 3 is the trousers. Image 4 is the boots. Dress the person using Images 2-4. Preserve face, skin tone, body shape, hands, hair, expression, pose, background, camera angle, framing, and lighting exactly. Replace only clothing. No jewelry, bags, text, or logos.
Use the same visual language as Image 1: chunky pixel forms, limited arcade palette, bright glow accents, clean silhouette edges, playful 1980s poster energy. Generate a new scene of a motorcycle chase through a neon desert at night. White background. No watermark.
Turn this drawing into a photorealistic landscape. Preserve the exact layout, horizon line, river path, mountain placement, tree placement, and overall perspective. Add realistic materials, sunrise lighting, soft mist, rock texture, vegetation, and water reflections. Do not add people, buildings, animals, or text.
Replace only the white dining chairs in this room with natural oak wooden chairs. Preserve camera angle, table shape, window light, floor shadows, table reflections, cabinet geometry, refrigerator reflections, and all surrounding objects. Keep the room otherwise unchanged. Add realistic contact shadows and believable wood grain.
Continue the children's book story using the same forest helper. Keep the same face, green hooded tunic, soft brown boots, proportions, palette, and gentle personality. New scene: rescuing a frightened squirrel after a winter storm. Same watercolor look, warm comforting mood. Do not redesign the character. No text.
Create an executive-ready AI CRM architecture diagram. Show customer channels, CRM core, AI automation, data pipelines, integrations, security, governance, observability, and operations. Premium consulting proposal style, readable labels, polished spacing, no tiny text.
Change only the weather and lighting. Make the scene look like a winter evening with light snowfall. Preserve identity, geometry, camera angle, object placement, composition, signs, buildings, and people in the same positions. Match shadows and atmosphere naturally. No watermark.
Create a photograph of a 1992-era CRT monitor showing a bulletin board system terminal. Phosphor green text on black. ASCII banner: "THE NIGHT OWL BBS". Menu items: 1 Message Base, 2 File Library, 3 Chat Rooms, 4 User Config, 5 Log Off. Dusty bezel, scanline glow, no modern UI, no watermark.
Create a fictional 1970s engineering archive photo of a lunar rover test inside a desert hangar. Faded Kodachrome, stamped paper border, dusty tools, period-correct equipment, authentic era texture, no real agency logos, no watermark.
Create an original black-and-white manga page with four panels about an apprentice robot repairing a city clock. Dynamic panel layout, screentones, readable action flow, expressive original characters, no existing manga style names, no copyrighted characters.
Translate only the visible text in this poster to Spanish. Preserve the original typography hierarchy, margins, colors, illustrations, logo position, spacing, and overall layout. Do not add commentary, new slogans, new icons, or redesigned elements. If a translated line needs more room, adjust line breaks only as much as necessary.
Create four original logo directions for a bakery called "Field & Flour". Warm, simple, timeless, vector-like, readable at small size, balanced negative space, no gradients unless essential. Show each mark centered on a plain background with generous padding. No trademark references, no mockup scene, no watermark.
Create a vertical four-panel comic reel. Panel 1: a pet watches its owner leave. Panel 2: silence turns into mischief. Panel 3: the living room becomes a tiny kingdom. Panel 4: the owner returns and the pet sits perfectly innocent. Clear panel borders, readable action, expressive timing, no captions unless requested.
Create one landscape teaching slide titled "How A Battery Stores Energy". Show anode, cathode, electrolyte, separator, ion flow, electron flow, charge, and discharge. Use clean classroom diagram style, large labels, arrows with consistent direction, white background, high contrast, no decorative clutter, no tiny footnotes.
Create a Series A style pitch slide titled "Market Opportunity". Include a TAM/SAM/SOM diagram, a simple growth bar chart from 2021 to 2026, believable numeric labels, tight grid alignment, startup-deck typography, restrained blue-gray palette, and a logo placeholder. Make every label legible. Avoid stock photos and clip art.
Extract the product from the input image onto a clean opaque white background. Preserve product proportions, cap shape, label text, label colors, and edge geometry exactly. Add only light polish and a subtle contact shadow. No halo, no fringing, no label rewriting, no redesign, no new packaging elements.
Create premium blister packaging for an original collectible toy airplane called "Christmas Memories Edition". Vintage toy proportions, lightly worn paint, clear plastic blister, card backing with tasteful holiday design, realistic retail photography, sharp label printing, no brand logos, no real franchise references, no watermark.
Place the person from Image 1 into a realistic Yosemite campsite at dusk while preserving their face, body proportions, hair, expression, and camera-facing geometry. Match the scene lighting, ground shadows, scale, and lens perspective. Keep the result grounded like an unposed photograph, not a movie poster.
Image 1 is the room to preserve. Image 2 is the chair design. Image 3 is the fabric texture. Replace only the dining chairs in Image 1 using the shape from Image 2 and material feel from Image 3. Preserve walls, windows, table, floor, shadows, camera angle, and all surrounding objects.
Remove the flower from the man's hand. Preserve his fingers, hand pose, sleeve, face, background, lighting, camera angle, color grading, and image grain. Reconstruct the hidden hand area naturally with no blur patch, no ghost outline, no new object, no watermark.
Create a realistic outdoor crowd scene in Bethel, New York on August 16, 1969. Period-accurate clothing, field staging, weathered film color, authentic crowd density, improvised signage, distant music stage atmosphere, natural daylight, no modern phones, no modern vehicles, no watermark.
Create a candid photograph of an elderly sailor on a small fishing boat adjusting a net while a dog waits nearby. Weathered skin, faded tattoos, worn deck materials, coastal daylight, 50mm documentary feel, shallow depth of field, subtle film grain. Honest and unposed. No glamour retouching.
Create a real photo of a 24-hour diner menu board at 5 AM. Plastic letter tracks, yellowed bulbs, uneven spacing, one missing slot, readable category labels, and a daily special line reading "CHICKEN FRIED STEAK 8.25". Physical sign realism, no gibberish, no extra menus, no watermark.
Create a documentary photograph of a handmade cardboard sign held in winter rain. Exact sign text: "FUND THE LIBRARIES". Wet cardboard edges, black marker bleed, gloved hand, blurred calm crowd behind, overcast natural light. The text must be legible and appear once. No branding, no watermark.
Create a square medium-format still life of elderly hands peeling garlic at a worn wooden kitchen table. Window light from the left, faded floral sleeves, chipped porcelain bowl, scattered papery skins, visible wrinkles and nail imperfections, warm restrained color. No stylization, no text, no watermark.
Create a character reference sheet for an original children's book forest helper. Include front, side, back, three facial expressions, outfit callouts, palette swatches, and scale notes. Gentle watercolor look, green hooded tunic, brown boots, small pouch. No text blocks beyond short labels, no copyrighted character references.
Change only the lighting in this product photo to soft overcast studio light. Preserve the object, label, proportions, camera angle, background color, crop, and surface position. Remove harsh reflections, keep material texture believable, and match shadows to the new light direction. No redesign.
If a result drifts, do not rewrite everything. Use a single repair instruction: "Restore the original wall texture, keep the new chair, preserve camera angle and lighting, change nothing else." Small corrections protect good composition better than a new overloaded prompt.
GPT Image 2 is OpenAI's newer image generation and editing model for fast, high-quality visual creation. It accepts text prompts and image inputs, then returns generated images for creative, product, design, marketing, editorial, education, and UI workflows. The practical shift is not just prettier images: GPT Image 2 makes more production steps disappear by improving layout following, readable typography, reference preservation, realistic product surfaces, world-specific scenes, and multi-step editing control.
Write the scene, subject, lighting, camera, material, mood, and exact text you want. GPT Image 2 turns that brief into a finished image.
Upload an existing image and describe the change: replace a background, restyle a product, adjust a poster, remove objects, or create a new variation.
Use several images as ingredients: product photo, brand palette, pose reference, texture, and layout can be combined in one prompt.
Headlines, labels, menu text, product packaging, classroom cards, and UI copy are now realistic first-class prompt targets instead of post-edit chores.
Use one image for the subject, another for style, another for palette, and another for composition. The prompt explains each input's role.
Ad creative, blog headers, newsletter graphics, product listings, thumbnails, and launch images can move from brief to draft without Figma cleanup first.
AI Edit Photo exposes the production-safe GPT Image 2 controls that matter for day-to-day creative work. Use fast drafts while exploring, then switch to high quality for final assets.
| Option | Values | When to use it |
|---|---|---|
| Size | Auto, 1024 presets, 2K, 4K, or custom multiple-of-16 dimensions | Square for general assets, landscape for banners and hero images, portrait for mobile ads and posters. Custom sizes stay inside GPT Image 2 limits. |
| Quality | Low, medium, high | Low for quick drafts, medium for balanced iteration, high for typography-heavy or final production visuals. |
| Output format | JPEG, PNG, WebP | JPEG is practical for web speed and sharing. PNG is better for crisp graphics and editing pipelines. WebP is useful for lightweight web assets. |
| Background | Auto or opaque in this quick launcher | Use opaque for product mockups, posters, and screenshots. Use the full editor/API path for any additional background options exposed by the provider. |
| Image count | 1 to 5 | Generate multiple directions from one prompt so you can pick the best composition instead of over-editing one image. |
| Reference images | Multiple images | Use product, pose, style, texture, color, character, or layout references when the output must preserve specific details. |
GPT Image 2 is strongest when the image must follow a concrete brief. Midjourney can still be the right tool for highly stylized art direction. Open models are valuable when you need local control or fine-tuning. GPT Image 2 is the practical default when the output must contain specific words, UI details, branded products, reference inputs, or production-ready marketing layout.
| Need | Why GPT Image 2 fits | Prompt tactic |
|---|---|---|
| Readable posters | Better instruction following makes quoted headlines, labels, and subcopy more viable. | Put exact text in quotes and specify font style, size hierarchy, and placement. |
| Product edits | Reference images let the model preserve product shape while changing setting, lighting, or campaign style. | Say which image is the product and explicitly list what must remain unchanged. |
| UI and app mockups | GPT Image 2 is useful for realistic dashboard, mobile screen, game UI, and documentation screenshot concepts. | Describe the screen type, nav labels, widget layout, data density, and visual system. |
| Localized creative | Text-heavy workflows benefit when the model is asked for short, precise phrases rather than vague “foreign text”. | Use exact phrases, avoid long paragraphs, and create one visual hierarchy per image. |
Many pages rank for “GPT Image 2 Free”, “ChatGPT Images 2.0 Free”, and “no sign-up AI image generator” by describing the model but sending you through a delayed funnel. This page is built around the opposite path: prompt first, then open the GPT Image 2 editor with your prompt, references, and settings already applied.
Best for trying a prompt, testing text rendering, creating a draft, or validating whether GPT Image 2 fits the job.
Best for multi-reference edits, image count control, saved projects, repeatable settings, and production-ready workflows.
Upload references when a product, character, texture, brand style, or composition must be carried into the generated result.
AI Edit Photo opens free GPT Image 2 access through GizAI for quick creation, with usage limits depending on plan and availability. The page is designed so you can start with no sign-up friction.
Yes. You can write the prompt and choose settings before opening the GizAI GPT Image 2 editor. Reference uploads are passed through with your prompt and settings.
Yes. GPT Image 2 supports workflows where one or more images guide a new image or edit. For best results, describe each upload by role: product, palette, lighting, pose, texture, character, or layout.
Use short copy, put exact words in quotes, specify font style and placement, and add “no extra text”. For difficult names, spell the word letter by letter inside the prompt.
Use this order: intended output, scene, subject, important visual details, reference-image roles, exact text, then constraints. For edits, separate “change only” from “preserve”.
Users often describe the newer ChatGPT image experience as ChatGPT Images 2.0. GPT Image 2 is the model name exposed for generation and editing workflows.
“Duct Tape” is a search term around a high-performing AI image model/codename discussed for strong realism, readable text, product visuals, and layout-following. AI Edit Photo supports the same practical workflows through GPT Image 2: prompts, reference images, posters, product ads, and structured visual edits.
Use square for general images, landscape for hero graphics and website banners, and portrait for mobile ads, posters, pins, and vertical social posts.
Write a prompt, choose GPT Image 2 settings, then open the editor with references, quality, format, and image count already applied.
Open GPT Image 2 editor