> ## Documentation Index > Fetch the complete documentation index at: https://docs.apipod.ai/llms.txt > Use this file to discover all available pages before exploring further. # GPT Image 2.6 Flare Lite > GPT Image 2.6 Flare Lite 是 APIPod 基于 Azure、Adobe 等低成本渠道提供的 GPT Image 2.6 Flare 路由版本，并非独立的 OpenAI 模型，不支持 SVG 输出。 ## OpenAPI ````yaml api-reference/openapi/gpt-image-2.6--gpt-image-2.6-flare-lite.zh.yaml POST /v1/images/generations openapi: 3.1.0 info: title: GPT Image 2.6 Flare Lite API version: 1.0.0 description: >- GPT Image 2.6 Flare Lite 是 APIPod 基于 Azure、Adobe 等低成本渠道提供的 GPT Image 2.6 Flare 路由版本，并非独立的 OpenAI 模型。沿用相同的生成与编辑参数契约，单张成本更低，适合对成本敏感的高并发批量出图；该版本不支持 SVG 输出。在 APIPod 中，公开模型 ID 为 gpt-image-2.6-flare-lite，支持文生图与参考图编辑。 servers: - url: https://api.apipod.ai description: 生产环境 security: [] paths: /v1/images/generations: post: tags: - GPT Image 2.6 Flare Lite summary: 创建生成任务 description: >- GPT Image 2.6 Flare Lite 是 APIPod 基于 Azure、Adobe 等低成本渠道提供的 GPT Image 2.6 Flare 路由版本，并非独立的 OpenAI 模型。沿用相同的生成与编辑参数契约，单张成本更低，适合对成本敏感的高并发批量出图；该版本不支持 SVG 输出。在 APIPod 中，公开模型 ID 为 gpt-image-2.6-flare-lite，支持文生图与参考图编辑。 operationId: create-gpt-image-2.6-gpt-image-2.6-flare-lite requestBody: required: true content: application/json: schema: type: object title: GPT Image 2.6 Flare Lite required: - model - prompt properties: model: type: string title: Model ID description: APIPod 公开模型 ID。 const: gpt-image-2.6-flare-lite prompt: type: string title: Prompt maxLength: 32000 description: 生成或编辑指令。输出 GIF 时需写明主体、运动方式与循环目标。 image_urls: type: array title: Image Urls maxItems: 16 items: type: string description: 可公开访问的源图或参考图 URL。与 gif 输出不能同时使用。 mask_url: type: string title: Mask Url description: >- 局部重绘遮罩图，支持公网 URL 或 base64 数据 URI。透明像素标记允许编辑的区域，其余区域保持不变；须伴随 image_urls 使用，且不能与 markup_url 同时使用。 markup_url: type: string title: Markup Url description: >- 编辑标注图，支持公网 URL 或 base64 数据 URI（GPT Image 2.5/2.6 新增）。透明 PNG 叠加在第一张参考图上，不透明笔迹引导模型编辑对应区域；尺寸须与第一张参考图一致。须伴随 image_urls 使用，且不能与 mask_url 同时使用。 output_format: enum: - png - jpeg - webp - gif type: string title: Output Format default: png description: >- 输出格式。gif 仅文生图可用，且不支持 output_compression 与透明背景；GPT Image 2.6 Lite 不支持 svg。 complexity: enum: - low - medium - high type: string title: Complexity default: high description: 渲染前的规划复杂度。low 适合改背景这类聚焦型编辑，high 适合密集文字与复杂版式；缺省为 high，不额外收费。 quality: enum: - auto - low - medium - high - xhigh - max type: string title: Quality default: auto description: 保真档位。background 为 transparent 时不得低于 medium。 background: enum: - auto - opaque - transparent type: string title: Background default: auto description: 背景模式。transparent 返回带 alpha 通道的图片，并要求 quality 不低于 medium。 aspect_ratio: enum: - auto - 61 - 123 - 182 - 184 - 243 - 245 - 304 - 556 - 969 - 1269 type: string title: Aspect Ratio default: auto description: 生成图片的宽高比。 resolution: enum: - 1K - 2K - 4K type: string title: Resolution default: 1K description: 生成图片的分辨率档位。 size: type: string title: Size description: >- 可选的精确像素通道，格式为 宽x高（例如 1024x1536）。宽高必须是 16 的倍数且不超过 3840；与 resolution、aspect_ratio 同时出现时以 size 为准。1K/2K/4K 档位配合 15 种宽高比已覆盖常见尺寸，GIF 单帧也可直接使用，因此只有像素级对齐或非标准比例时才需要 size。 frame_count: type: integer title: Frame Count minimum: 2 maximum: 64 default: 9 description: GIF 总帧数，取值 2-64。仅当 output_format 为 gif 时生效，缺省为 9。 frame_duration_ms: type: integer title: Frame Duration (ms) minimum: 20 maximum: 2000 default: 200 description: GIF 每帧时长（毫秒），取值 20-2000。仅当 output_format 为 gif 时生效，缺省为 200。 output_compression: type: integer title: Output Compression minimum: 0 maximum: 100 description: jpeg 与 webp 的输出压缩率，取值 0-100。gif 不支持该参数。 moderation: enum: - low - auto type: string title: Moderation default: low description: >- 内容审核严格度。APIPod 对 GPT Image 2.6 默认下发 low 以减少误拦；传 auto 可恢复 OpenAI 默认的严格过滤。 example: model: gpt-image-2.6-flare-lite prompt: >- A premium product photograph on a dark studio set, precise typography, soft rim lighting, highly detailed. quality: auto aspect_ratio: auto resolution: 1K responses: '200': description: 任务已受理 content: application/json: schema: type: object title: Task Submit Response required: - code - message - data properties: code: type: integer description: HTTP 状态码。 data: type: object title: Task Submit Data properties: task_id: type: string description: 用于查询任务状态的 APIPod 任务 ID。 description: 响应数据。 message: type: string description: 响应消息。 description: Standard response for task submission example: code: 200 message: success data: task_id: img_task_01JEXAMPLE security: - bearerAuth: [] x-codeSamples: - lang: Shell label: cURL source: |- curl https://api.apipod.ai/v1/images/generations \ -H "Authorization: Bearer $APIPOD_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "gpt-image-2.6-flare-lite", "prompt": "A premium product photograph on a dark studio set, precise typography, soft rim lighting, highly detailed.", "quality": "auto", "aspect_ratio": "auto", "resolution": "1K" }' - lang: Python label: Python source: |- import os import requests payload = { "model": "gpt-image-2.6-flare-lite", "prompt": "A premium product photograph on a dark studio set, precise typography, soft rim lighting, highly detailed.", "quality": "auto", "aspect_ratio": "auto", "resolution": "1K" } response = requests.post( "https://api.apipod.ai/v1/images/generations", headers={ "Authorization": f"Bearer {os.environ['APIPOD_API_KEY']}", "Content-Type": "application/json", }, json=payload, timeout=60, ) response.raise_for_status() print(response.json()) - lang: Go label: Go source: |- package main import ( "bytes" "encoding/json" "fmt" "net/http" "os" ) func main() { payload := map[string]any{} if err := json.Unmarshal([]byte(`{ "model": "gpt-image-2.6-flare-lite", "prompt": "A premium product photograph on a dark studio set, precise typography, soft rim lighting, highly detailed.", "quality": "auto", "aspect_ratio": "auto", "resolution": "1K" }`), &payload); err != nil { panic(err) } body, err := json.Marshal(payload) if err != nil { panic(err) } req, err := http.NewRequest(http.MethodPost, "https://api.apipod.ai/v1/images/generations", bytes.NewReader(body)) if err != nil { panic(err) } req.Header.Set("Authorization", "Bearer "+os.Getenv("APIPOD_API_KEY")) req.Header.Set("Content-Type", "application/json") resp, err := http.DefaultClient.Do(req) if err != nil { panic(err) } defer resp.Body.Close() fmt.Println(resp.Status) } - lang: Rust label: Rust source: |- use reqwest::Client; use serde_json::json; use std::env; #[tokio::main] async fn main() -> Result<(), Box> { let payload = json!({ "model": "gpt-image-2.6-flare-lite", "prompt": "A premium product photograph on a dark studio set, precise typography, soft rim lighting, highly detailed.", "quality": "auto", "aspect_ratio": "auto", "resolution": "1K" }); let response = Client::new() .post("https://api.apipod.ai/v1/images/generations") .bearer_auth(env::var("APIPOD_API_KEY")?) .json(&payload) .send() .await? .error_for_status()?; println!("{}", response.text().await?); Ok(()) } - lang: JavaScript label: JavaScript source: >- const response = await fetch("https://api.apipod.ai/v1/images/generations", { method: "POST", headers: { Authorization: `Bearer ${process.env.APIPOD_API_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify( { "model": "gpt-image-2.6-flare-lite", "prompt": "A premium product photograph on a dark studio set, precise typography, soft rim lighting, highly detailed.", "quality": "auto", "aspect_ratio": "auto", "resolution": "1K" } ), }); if (!response.ok) { throw new Error(`APIPod request failed: ${response.status} ${await response.text()}`); } console.log(await response.json()); components: securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: APIPod API key description: 在 Authorization 请求头中使用 Bearer APIPod_API_KEY。 ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.