openai/gpt-image-2.5-sunburst-edit

gpt-image-2.5-sunburst-edit
文档
Schema

[Core Function] GPT Image 2.5 Sunburst Edit is a quality-oriented image editing model. [Strengths] Supports up to 16 input images, optional mask-based local edits, resolution tiers up to 4K, and transparent backgrounds. [Best For] Product image changes, masked object replacements, and edits guided by multiple reference images. [Limitations] Do NOT use this for editing more than 16 input images or selecting arbitrary pixel dimensions. Exact input fidelity control is not exposed. [Routing] Choose this variant when image quality is the priority; use GPT Image 2.5 Flare Edit when speed is the priority.

$0.0060~$0.7120/img$0.0054~$0.6408/img
image-to-image

输入

Description of the desired edits, from 1 to 32,000 Unicode characters.
Input image URLs as a string array, with 1 to 16 images.
提示:可拖拽文件、从剪贴板粘贴(Ctrl/Cmd+V),或提供 URL。
Output aspect ratio. Can be set independently of resolution; omitting it uses 1:1.
Background mode: auto lets the model choose, opaque requests an opaque background, and transparent requests a transparent background with PNG output.
Optional PNG mask URL for local editing. The mask must have an alpha channel and match the first input image's dimensions. Transparent areas indicate the area to edit.
提示:可拖拽文件、从剪贴板粘贴(Ctrl/Cmd+V),或提供 URL。
Output quality level. Defaults to low.
Output resolution tier. Can be set independently of aspect_ratio; omitting it uses 1K. Pixel dimensions depend on both parameters: 1:1 + 1K gives 1024x1024, 1:1 + 4K gives 2880x2880, and 16:9 + 4K gives 3840x2160.

结果

暂无结果

运行模型后,结果将在这里显示。

Next:

README

属性

系列

集合

参数

参数名 描述 类型 必填 枚举值
prompt Description of the desired edits, from 1 to 32,000 Unicode characters. string 是 -
images Input image URLs as a string array, with 1 to 16 images. string[] 是 -
aspect_ratio Output aspect ratio. Can be set independently of resolution; omitting it uses 1:1. string 否 1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9
background Background mode: auto lets the model choose, opaque requests an opaque background, and transparent requests a transparent background with PNG output. string 否 auto, opaque, transparent
mask Optional PNG mask URL for local editing. The mask must have an alpha channel and match the first input image’s dimensions. Transparent areas indicate the area to edit. string 否 -
quality Output quality level. Defaults to low. string 否 low, medium, high, xhigh, max
resolution Output resolution tier. Can be set independently of aspect_ratio; omitting it uses 1K. Pixel dimensions depend on both parameters: 1:1 + 1K gives 1024x1024, 1:1 + 4K gives 2880x2880, and 16:9 + 4K gives 3840x2160. string 否 1K, 2K, 4K

价格

输入图片($/img): 0.0315
输入视频($/sec): 0.0000

单位: $/img

维度 价格
quality: low / resolution: 1K 0.0054
quality: low / resolution: 2K 0.0108
quality: low / resolution: 4K 0.0180
quality: medium / resolution: 1K 0.0117
quality: medium / resolution: 2K 0.0243
quality: medium / resolution: 4K 0.0396
quality: high / resolution: 1K 0.0477
quality: high / resolution: 2K 0.0963
quality: high / resolution: 4K 0.1602
quality: xhigh / resolution: 1K 0.0846
quality: xhigh / resolution: 2K 0.1710
quality: xhigh / resolution: 4K 0.2844
quality: max / resolution: 1K 0.1899
quality: max / resolution: 2K 0.3852
quality: max / resolution: 4K 0.6408

相关模型

  • 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.
  • openai/gpt-image-2.5-flare: [Core Function] GPT Image 2.5 Flare is a speed-oriented text-to-image generation model. [Strengths] Supports ten aspect ratios, resolution tiers up to 4K, and transparent backgrounds. [Best For] Landscape illustrations, product posters, and transparent icons. [Limitations] Do NOT use this for editing an existing image or selecting arbitrary pixel dimensions. [Routing] Choose this variant when speed is the priority; use GPT Image 2.5 Sunburst when image quality is the priority. Use GPT Image 2.5 Flare Edit when input images are required.
  • openai/gpt-image-2.5-sunburst: [Core Function] GPT Image 2.5 Sunburst is a quality-oriented text-to-image generation model. [Strengths] Supports ten aspect ratios, resolution tiers up to 4K, and transparent backgrounds. [Best For] Landscape illustrations, product posters, and transparent icons. [Limitations] Do NOT use this for editing an existing image or selecting arbitrary pixel dimensions. [Routing] Choose this variant when image quality is the priority; use GPT Image 2.5 Flare when speed is the priority. Use GPT Image 2.5 Sunburst Edit when input images are required.
  • openai/gpt-image-2.5-flare-edit: [Core Function] GPT Image 2.5 Flare Edit is a speed-oriented image editing model. [Strengths] Supports up to 16 input images, optional mask-based local edits, resolution tiers up to 4K, and transparent backgrounds. [Best For] Product image changes, masked object replacements, and edits guided by multiple reference images. [Limitations] Do NOT use this for editing more than 16 input images or selecting arbitrary pixel dimensions. Exact input fidelity control is not exposed. [Routing] Choose this variant when speed is the priority; use GPT Image 2.5 Sunburst Edit when image quality is the priority.
  • bytedance/seedream-5.0-lite-edit: [Core Function] Seedream 5.0 Lite Edit is a reasoning-enhanced, smart image editing model. [Strengths] It features superior cross-modal understanding and reasoning, allowing for highly accurate, interactive multi-turn image editing with real-time knowledge enhancement. [Best For] Highly recommended for: complex image editing tasks, structural modifications, and edits requiring deep semantic understanding. [Limitations] As a ‘Lite’ model, raw visual rendering might not match the 4.5 tier. [Routing] Use this model by default for complex, reasoning-based image editing tasks.
  • kling/kling-v3-i2i: [Core Function] Kling V3 I2I is the flagship image-to-image editing model (POST /images/generations, model_name=kling-v3 with image). [Strengths] High-quality style transfer and editing up to 2K. [Best For] Single-reference image editing. [Limitations] Do NOT send negative_prompt when image is present (officially unsupported). No image_fidelity / image_reference on V3. For multi-image fusion or series, use kling-v3-omni-image. [Routing] Default for standard image-to-image.
  • alibaba/wan2.7-image-pro-edit: [Core Function] Wan 2.7 Image Pro Edit is Alibaba’s flagship reasoning-enhanced image editing model. [Strengths] It supports interactive editing, character-consistent multi-image generation, and complex multi-reference modifications with deep reasoning. [Best For] Highly recommended for: professional image retouching, consistent character sheets, and complex structural edits. [Limitations] Do NOT use this model if you specifically need to use negative prompts to exclude elements during editing (use Qwen Image 2.0 Pro Edit instead). [Routing] Use this by default for high-end image editing and multi-reference consistent character generation.
  • google/nano-banana-2-edit: [Core Function] Nano Banana 2 Edit is a high-speed image editing model. [Strengths] It rapidly modifies existing images or extracts image frames from videos based on text prompts. [Best For] Highly recommended for: rapid style transfer, quick image modifications, and fast creative edits. [Limitations] Do NOT use this model for meticulous photorealistic retouching. [Routing] Use this model by default for fast, creative image editing tasks. For Nano Banana 2.1 editing, use google/nano-banana-2.1-edit.
  • xai/grok-imagine-image-edit: [Core Function] Grok Imagine Image Edit is xAI’s standard image editing model. [Strengths] It excels at quickly applying prompt-guided edits and style changes to one or more source images. [Best For] Highly recommended for: fast restyling, quick variations, and lightweight image edits. [Limitations] Do NOT use this model when maximum edit fidelity is required; the Quality variant preserves more detail. A maximum of 3 source images is supported. [Routing] Choose this model for fast edits. When the user demands maximum fidelity, route to Grok Imagine Image Edit (Quality).
  • xai/grok-imagine-image-quality-edit: [Core Function] Grok Imagine Image Edit (Quality) is xAI’s high-fidelity image editing model. [Strengths] It excels at applying detailed, prompt-guided edits and style transformations to one or more source images while preserving fine detail. [Best For] Highly recommended for: high-quality restyling, detailed inpainting-style edits, and combining up to 3 source images. [Limitations] Do NOT use this model ID for new work. Starting November 2, 2026, requests to xai/grok-imagine-image-quality-edit still succeed and Modellix forwards them to xai/grok-imagine-image-2.0-edit. This model ID may be shut down later. Call xai/grok-imagine-image-2.0-edit directly. [Routing] Call xai/grok-imagine-image-2.0-edit unless the user explicitly names xai/grok-imagine-image-quality-edit.
  • pixverse/video-restyle: [Core Function] PixVerse Restyle re-renders an existing video into a new visual style. [Strengths] Consistent style transfer across all frames. [Best For] Turning footage into anime/3D/painterly looks, stylized remixes. [Limitations] Do NOT use this to change content, motion, or add new scenes; it only re-renders the visual style of an existing video. It requires an input video, and you must provide EITHER restyle_id (a preset style code from the PixVerse restyle list) OR restyle_prompt (free-text style, max 2048 chars), not both. [Routing] Use when the user wants to change the look of an existing video. Use restyle_id for an official preset, restyle_prompt for a custom style.
  • xai/grok-imagine-video-edit: [Core Function] Grok Imagine Video Edit applies a prompt-guided transformation to an input video. [Strengths] It excels at restyling and modifying an existing video while keeping its original duration and aspect ratio. [Best For] Highly recommended for: restyling clips, applying visual effects, and prompt-driven video edits. [Limitations] Do NOT use this model to change the duration, aspect ratio, or resolution; the output preserves the input video’s duration and aspect ratio, and those parameters are not configurable. Input video constraints (e.g. format/length) are enforced by the upstream provider. [Routing] Use this model when the user provides a video and wants it edited/restyled. To make a video longer, use Video Extend.
  • bytedance/seedream-5.0-pro-edit: [Core Function] Seedream 5.0 Pro Edit is a professional-grade single-image editing (I2I) model. [Strengths] It supports interactive precise editing: edit locations can be specified via coordinates, selection boxes, or arrows described in the prompt, with strong element-level control and subject consistency. [Best For] Highly recommended for: precise local retouching, adding/removing/replacing objects at exact positions, style transfer of a single photo, and professional post-editing workflows. [Limitations] Do NOT use this model for text-to-image generation (an input image is required) or for blending multiple reference images; it accepts exactly one input image and outputs exactly one image (no batch or streaming). [Routing] For 2-10 reference images use Seedream 5.0 Pro Multi-Reference; for pure text-to-image use Seedream 5.0 Pro; choose Seedream 5.0 Lite Edit when batch outputs or more than 10 input images are required.
  • bytedance/seedream-5.0-pro-multi-reference: [Core Function] Seedream 5.0 Pro Multi-Reference is a professional-grade multi-reference image generation (I2I) model that creates a single image from 2-10 reference images plus a text prompt. [Strengths] It excels at reference consistency, preserving characters, styles, and objects across multiple input images while following complex blending instructions with professional-grade quality. [Best For] Highly recommended for: keeping character or style consistency across references, combining subjects from different images into one scene, placing products into reference scenes, and IP-consistent content creation. [Limitations] Do NOT use this model with fewer than 2 or more than 10 reference images, and do NOT use it for batch generation or streaming; it outputs exactly one image per request. [Routing] For single-image editing use Seedream 5.0 Pro Edit; for text-only generation use Seedream 5.0 Pro; choose Seedream 5.0 Lite Edit when up to 14 reference images or batch outputs are needed.
  • alibaba/qwen-image-3.0-pro-edit: [Core Function] Qwen Image 3.0 Pro Edit is an image-to-image editing model for instruction-based edits and multi-image fusion. [Strengths] It accepts 1-3 reference images plus an edit instruction, optional negative prompts, free-form output size (widthheight), intelligent prompt rewrite, 1-6 outputs while preserving subject identity, and long structured edit instructions. [Best For] Highly recommended for: background replacement, outfit or style changes, multi-image fusion, identity-preserving portrait edits, and iterative creative retouching. [Limitations] Do NOT use this for pure text-to-image with no reference images (use Qwen Image 3.0 Pro instead), native 4K output, or thinking-mode reasoning. Keep output total pixels within 512512 to 2048*2048; input images should follow supported formats and size guidance. Do NOT combine very long prompts with multiple reference images and a long negative_prompt if the request may exceed the model input capacity (about 4.5k tokens total across text and images). [Routing] Route here when the user provides reference image(s) and wants Qwen 3.0 edit quality. For text-only generation without images, use Qwen Image 3.0 Pro.
  • microsoft/mai-image-2.6-edit: [Core Function] MAI Image 2.6 Edit is Microsoft’s latest prompt-guided image editing model in the MAI Image family. [Strengths] It applies targeted edits to a single source image with the same quality gains as MAI Image 2.6 generation. [Best For] Highly recommended for: object edits, layout changes, text cleanup, and iterative photorealistic retouching. [Limitations] Do NOT use this if the caller provides more than one source image, a data URI, or a URL that is not publicly reachable over HTTP or HTTPS. It accepts exactly one JPEG or PNG image URL, and output is always PNG. auto_aspect_ratio and web_grounding are optional booleans; omit them unless the caller sets them. [Routing] Use this model when the latest MAI edit quality is required. For faster or lower-cost edits, route to MAI Image 2.6 Flash Edit.
  • microsoft/mai-image-2.6-flash-edit: [Core Function] MAI Image 2.6 Flash Edit is the faster, lower-cost variant of MAI Image 2.6 image editing. [Strengths] It applies prompt-guided edits to a single source image with lower latency than MAI Image 2.6 Edit. [Best For] Highly recommended for: high-throughput edit APIs and production retouching pipelines. [Limitations] Do NOT use this if the caller provides more than one source image, a data URI, or a URL that is not publicly reachable over HTTP or HTTPS. It accepts exactly one JPEG or PNG image URL, and output is always PNG. auto_aspect_ratio and web_grounding are optional booleans; omit them unless the caller sets them. [Routing] Use this model when edit speed or cost matters more than maximum 2.6 quality. For the highest fidelity, route to MAI Image 2.6 Edit.
  • google/nano-banana-2.1-edit: [Core Function] Nano Banana 2.1 Edit is Google’s fast image-editing and video-to-image model, exposed as google/nano-banana-2.1-edit. [Strengths] It edits up to 14 reference images, or one HTTPS video plus up to 10 images, at 1K, 2K, or 4K, with improved character and multi-reference consistency. thinkingLevel defaults to medium. Optional systemInstruction is omitted when blank. enableWebSearch turns on Google Search grounding (web and image search) only when true. [Best For] Prompted restyling, multi-image product and character edits, and turning a video into a still. [Limitations] Do NOT use this model for text-only generation, 512-pixel output, or audio generation. At least one of image or video is required. seed, temperature, topP, topK, and logprobs are rejected. [Routing] Use this endpoint when the user provides images or a video and wants Nano Banana 2.1. Use google/nano-banana-2-edit for the previous Gemini 3.1 Flash Image editor, including 512 output. Use google/nano-banana-2.1 when there is no visual input. Use google/nano-banana-pro-edit for the highest-fidelity still edits that do not need video input.
  • google/nano-banana-pro-edit: [Core Function] Nano Banana Pro Edit is a high-capability creative image editing model. [Strengths] It provides high-quality creative edits, background replacements, and style transformations. [Best For] Highly recommended for: detailed creative modifications and complex style transfers. [Limitations] Do NOT use for strict photorealistic restoration. [Routing] Use this model for detailed, high-quality creative edits.

相关资源