属性
シリーズ
コレクション
パラメーター
| 名前 | 説明 | 型 | 必須 | 列挙値 |
|---|---|---|---|---|
| prompt | Description of the desired edits, supports up to 32,000 characters | string | はい | - |
| images | Input image URL(s) to edit. Direct HTTPS URLs as string array. Supports up to 16 images for GPT Image models | string[] | はい | - |
| mask | Optional mask URL. Must be PNG with alpha channel; dimensions must match the input image exactly. Transparent areas are edited, opaque areas locked, semi-transparent areas blend with the original. | string | いいえ | - |
| quality | Output quality level. ‘low’: fast draft (default), ‘medium’: balanced, ‘high’: best quality | string | いいえ | low, medium, high |
| size | Output size as width x height, or ‘auto’ for model-selected size. Presets are valid under OpenAI constraints (total pixels 655360-8294400, edges multiples of 16). Mapping: 1:1 1K/2K; 3:2 1K/2K; 2:3 1K/2K; 4:3 1K/2K; 3:4 1K/2K; 16:9 2K/4K; 9:16 2K/4K. No 1K for 16:9/9:16; no 4K for non-widescreen ratios. | string | いいえ | auto, 1024x1024, 2048x2048, 1536x1024, 3072x2048, 1024x1536, 2048x3072, 1024x768, 2048x1536, 768x1024, 1536x2048, 2048x1152, 3840x2160, 1152x2048, 2160x3840 |
料金
単位: $/img
| 条件 | 料金 |
|---|---|
| quality: low | 0.0360 |
| quality: medium | 0.0792 |
| quality: high | 0.2250 |
関連モデル
- 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: transparentparameter. [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-2.5-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.
- openai/gpt-image-2.5-sunburst-edit: [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.
- 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.
- 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.
- 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.
- 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 when latency is critical, as it is slower than the standard edit variant; a maximum of 3 source images is supported. [Routing] Use this model by default for quality-sensitive edits. For faster edits, route to Grok Imagine Image Edit (standard).
- kling/kling-v3-omni-image: [Core Function] Kling V3 Omni Image is a unified multimodal image generation endpoint (POST /images/omni-image). [Strengths] Multi-image reference, up to 4K, and optional series generation via result_type/series_amount. Use <<<image_N>>> placeholders in prompt. [Best For] Character consistency, fusing multiple reference images, and comic/storyboard series. [Limitations] Element library IDs are not exposed. Default aspect_ratio is 1:1 when omitted. [Routing] Prefer for multi-image fusion or series; use kling-v3-t2i/i2i for standard single-shot generation.
- 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.
- microsoft/mai-image-2.5-edit: [Core Function] MAI Image 2.5 Edit is Microsoft’s flagship image editing model. [Strengths] It excels at applying high-quality, prompt-guided edits and transformations to a single source image. [Best For] Highly recommended for: restyling, object/scene modification, and detailed prompt-driven edits. [Limitations] Do NOT provide more than one source image or non-JPEG/PNG inputs; it accepts exactly one JPEG or PNG image, and output is always PNG. [Routing] Use this model by default for quality-sensitive edits. For faster, cheaper edits, route to MAI Image 2.5 Flash Edit.
- 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.
