openai/gpt-image-1.5

What GPT Image 1.5 Does

GPT Image 1.5 is a versatile text-to-image generation model with native transparent-background support. It turns text prompts into clean images and, uniquely, can output transparent PNG/WebP assets — making it ideal for UI icons, logos, and game assets.

Key Features

• Native Transparent Backgrounds: Set background: transparent to produce PNG/WebP assets with no manual cut-out required.
• Flexible Backgrounds: Choose transparent, opaque, or auto per request.
• Multiple Sizes & Orientations: Supports 1024x1024, 1536x1024, and 1024x1536 outputs.
• Selectable Quality Tiers: Pick low for fast drafts, medium for balance, or high for best fidelity.
• Long, Detailed Prompts: Accepts prompts up to 32,000 characters.
• Asynchronous Architecture: Uses a “Create Task → Poll Result” API workflow for reliable integration.

How to Use GPT Image 1.5

1. Write a text prompt describing the icon, logo, or scene you want.
2. Submit a POST request to the /openai/gpt-image-1.5 endpoint with your prompt and optional size, quality, and background parameters.
3. Receive a task_id with a “pending” status in the response.
4. Poll GET /tasks/{task_id} to monitor progress.
5. Once complete, download the generated image (PNG/WebP if transparent).

Best Use Cases

• UI Icons & App Assets: Generate crisp icons with transparent backgrounds ready to drop into interfaces.
• Logos & Brand Marks: Create logo concepts that sit cleanly on any background.
• Game Assets: Produce sprites and elements that need alpha transparency.
• Stickers & Cut-outs: Make subject-only graphics without manual masking.

Tips for Better Results

• Use Transparency Deliberately: Set background: transparent whenever you need icons, logos, or cut-outs — this is the model’s standout capability.
• Don’t Use It for 2K/4K: Maximum resolution is 1536x1024 — for high-fidelity 2K/4K imagery, route to GPT Image 2 instead.
• Draft Low, Finalize High: Iterate at quality: low, then re-run your best prompt at quality: high.
• Match Size to Asset: Pick 1024x1024 for square icons, 1536x1024 or 1024x1536 for wider/taller layouts.
• Be Specific About Subject Isolation: Describe a clean, single subject for the best transparent-asset results.

Parameters

Pricing

Unit: $/img

Related Models

• openai/gpt-image-1.5-edit: [Core Function] GPT Image 1.5 Edit is a versatile image-to-image editing and merging model. [Strengths] It excels at complex utility editing tasks, including multi-image merging (up to 16 images), transparent background support, and precise control over how strictly the model adheres to the input image (fidelity control). [Best For] Highly recommended for: merging reference images, editing UI assets, generating variations with strict shape preservation, and creating transparent cutouts. [Limitations] Do NOT use this model if you require 2K or 4K high-resolution outputs, as it is limited to standard resolutions. [Routing] Use this model specifically when the user provides multiple images to combine, requires transparency, or explicitly asks to ‘keep the exact shape’ of the original image (fidelity control). Otherwise, use GPT Image 2 Edit.
• openai/gpt-image-2: [Core Function] GPT Image 2 is a state-of-the-art text-to-image generation model. [Strengths] It excels at generating highly detailed, photorealistic images from text descriptions, with native support for ultra-high resolutions including 2K and 4K (up to 3840x2160). [Best For] Highly recommended for: cinematic landscapes, detailed character portraits, high-end commercial concept art, and any scenario requiring maximum resolution and visual fidelity. [Limitations] Do NOT use this model if you need a transparent background (e.g., for icons or UI assets), as it does not support the background: transparent parameter. [Routing] Use this model by default for all high-quality image generation requests. If the user explicitly asks for an image with a transparent background, route to GPT Image 1.5 instead.
• openai/gpt-image-2-edit: [Core Function] GPT Image 2 Edit is a high-resolution image-to-image editing model. [Strengths] It excels at making high-fidelity edits and style transformations to a single source image based on a text prompt, preserving details at up to 4K resolutions. [Best For] Highly recommended for: professional photo retouching, upscaling style transfers, and modifying high-resolution concept art. [Limitations] Do NOT use this model for multi-image merging (it only accepts one input image). Do NOT use if you need precise input fidelity control or transparent backgrounds. [Routing] Use this model by default when the user wants to edit a single image and prioritize output resolution/quality. If they need to merge multiple images or control the strictness of the edit (fidelity), use GPT Image 1.5 Edit.
• alibaba/wan2.7-image-pro: [Core Function] Wan 2.7 Image Pro is Alibaba’s flagship reasoning-enhanced image generation model. [Strengths] It features built-in chain-of-thought reasoning (Thinking Mode), exceptional prompt accuracy, native 12-language text rendering, and generates ultra-high-resolution 4K images. [Best For] Highly recommended for: print-ready large-format posters, complex logical prompts, and generating images containing specific text/typography. [Limitations] Do NOT use this model if you need to generate batch images rapidly (use Wan 2.7 Image instead) or if you specifically need negative prompts (use Qwen Image 2.0 Pro). [Routing] Use this model by default for high-end, 4K, or text-heavy image generation tasks.
• google/imagen-4.0-generate-001: [Core Function] Imagen 4.0 is Google’s flagship professional-grade text-to-image model designed for high-fidelity visual generation. [Strengths] It excels at industry-leading photorealism, exceptional typography/text rendering inside images, and strong prompt adherence, supporting up to 2K resolution and batch generation. [Best For] Highly recommended for general high-quality image generation, marketing assets (posters, product labels, menus, signage), and product photography mockups where readable text is required. [Limitations] Do NOT use this model if you need instant/real-time generation, native image editing (inpainting/outpainting), or negative prompts. It is strictly an image-only output model. [Routing] Use this model by default for high-quality, photorealistic text-to-image requests. If the user emphasizes speed or needs lower cost, route to Imagen 4.0 Fast. If the user demands the absolute highest detail and prompt precision, route to Imagen 4.0 Ultra.
• alibaba/qwen-image-2.0-pro: [Core Function] Qwen Image 2.0 Pro is a professional-grade, highly controllable image generation model. [Strengths] It provides exquisite photorealism, professional infographics generation, supports NEGATIVE prompts, and can generate up to 6 image variants per API call. [Best For] Highly recommended for: workflows requiring strict negative prompt exclusion, batch generation (6 variants), and highly detailed infographics. [Limitations] Does not natively output 4K resolution (max is 2K). Does not have the explicit ‘Thinking Mode’ of Wan 2.7. [Routing] Route to this model specifically when the user provides a ‘negative prompt’ or asks for ‘batch generation of 6 images’.
• bytedance/seedream-5.0-lite: [Core Function] Seedream 5.0 Lite is a smart, reasoning-enhanced image generation model with real-time web search capabilities. [Strengths] It excels at generating time-sensitive imagery, infographics, and content requiring deep world knowledge or online search, boasting superior prompt understanding and reasoning. [Best For] Highly recommended for: current-event posters, text-heavy designs, and concept art requiring complex logical reasoning. [Limitations] As a ‘Lite’ model, its absolute photorealistic aesthetic ceiling might be slightly lower than the specialized 4.5 model. [Routing] Use this model by default when the user needs real-time information, deep reasoning, or complex intent understanding in their image.
• google/imagen-4.0-ultra-generate-001: [Core Function] Imagen 4.0 Ultra is Google’s premium text-to-image model optimized for the highest quality and instruction alignment. [Strengths] It delivers ultimate photorealistic detail, superior texture rendering, and extremely strict adherence to complex, multi-part prompt instructions, supporting up to 2K resolution. [Best For] Highly recommended for high-end commercial marketing assets, professional design, intricate artistic compositions, and scenarios where precise instruction-following is paramount. [Limitations] Do NOT use this model if you need instant/real-time generation, native image editing (inpainting/outpainting), or negative prompts. It is the most expensive tier in the Imagen family. [Routing] Choose this model when the user demands the absolute highest quality, ultimate detail, or has highly complex prompt instructions. Otherwise, default to standard Imagen 4.0 or Imagen 4.0 Fast.
• google/nano-banana-2: [Core Function] Nano Banana 2 (Gemini 3.1 Flash Image) is an extremely fast text-to-image model. [Strengths] It is optimized for high-speed, high-volume visual generation, creative prompting, and rapid stylistic experimentation. [Best For] Highly recommended for: rapid creative iteration, generating large batches of images quickly, and artistic/stylized graphics. [Limitations] Do NOT use this model if you require strict, high-end photorealism (use the Imagen 4 series instead). [Routing] Route to this model for ‘fast’, ‘creative’, or ‘stylized’ high-volume requests.
• google/nano-banana-pro: [Core Function] Nano Banana Pro (Gemini 3 Pro Image) is a high-capability creative image model. [Strengths] It balances the creative flexibility and speed of the Nano series with higher fidelity output. [Best For] Highly recommended for: high-quality stylized art and complex creative compositions. [Limitations] Do NOT use for absolute photorealism (use Imagen 4). [Routing] Use this model for high-quality, creative, non-photorealistic requests.
• kling/kling-v3-t2i: [Core Function] Kling V3 T2I is the flagship text-to-image generation model. [Strengths] It delivers state-of-the-art aesthetic quality, high-resolution outputs (up to 2K), and exceptional prompt adherence. [Best For] Highly recommended for: professional concept art, photorealistic portraits, and high-fidelity image generation. [Limitations] Do NOT use this model if you need to strictly reference or edit an existing image. [Routing] Use this as the default model for all text-to-image requests on the Kling platform.
• kling/kling-avatar: [Core Function] Kling Avatar is a specialized portrait animation model. [Strengths] It precisely animates a portrait image to lip-sync with an audio file or TTS audio ID. [Best For] Highly recommended for: virtual presenters, talking head videos, and digital avatars. [Limitations] Do NOT use this model for full-body action or general image animation. [Routing] Use this model explicitly when the user wants to make a portrait ‘speak’ with provided audio.
• skywork/single-actor-avatar: [Core Function] SkyReels Single-Actor Avatar (audio-to-video) drives a talking-avatar video from a single portrait image and one audio track. [Strengths] Lip-synced single-speaker talking-head video generated from an image plus audio. [Best For] Virtual presenters, single-speaker dubbing, and talking avatars. [Limitations] Do NOT use this for multi-speaker scenes (use the multi-actor flow) or when you only have text. It requires first_frame_image and exactly one audio segment (<=200s). mode=std outputs 720p, mode=pro outputs 1080p. [Routing] Provide a portrait first_frame_image and one audio URL in audios; choose mode=pro for 1080p output.
• vidu/viduq2-pro-digital-human: [Core Function] Vidu Q2 Pro Digital Human is a premium portrait animation model. [Strengths] It excels at generating highly realistic, expressive digital humans from a single portrait image, featuring precise lip-sync to audio and natural facial micro-expressions. [Best For] Highly recommended for: professional virtual spokespersons, high-end educational videos, news anchoring, and realistic character animation. [Limitations] Do NOT use this model for complex full-body physical interactions or videos longer than 10 seconds. [Routing] Use this by default for ‘talking head’ or ‘digital human’ requests prioritizing realism over speed.