> ## 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 > GPT Image 2.6 Flare is the faster tier of OpenAI's GPT Image 2.6 image family. It keeps the 2.5 fidelity tiers and adds three capabilities: looping GIF animation, editable SVG vector output and a complexity control that decides how much the model plans before rendering. Flare is the default choice when response time matters. In APIPod, the public model ID is gpt-image-2.6-flare. It supports text-to-image and reference-image editing, and returns GIF and SVG results as stored artifacts. ## OpenAPI ````yaml api-reference/openapi/gpt-image-2.6--gpt-image-2.6-flare.yaml POST /v1/images/generations openapi: 3.1.0 info: title: GPT Image 2.6 Flare API version: 1.0.0 description: >- GPT Image 2.6 Flare is the faster tier of OpenAI's GPT Image 2.6 image family. It keeps the 2.5 fidelity tiers and adds three capabilities: looping GIF animation, editable SVG vector output and a complexity control that decides how much the model plans before rendering. Flare is the default choice when response time matters. In APIPod, the public model ID is gpt-image-2.6-flare. It supports text-to-image and reference-image editing, and returns GIF and SVG results as stored artifacts. servers: - url: https://api.apipod.ai description: Production security: [] paths: /v1/images/generations: post: tags: - GPT Image 2.6 Flare summary: Create Generation Task description: >- GPT Image 2.6 Flare is the faster tier of OpenAI's GPT Image 2.6 image family. It keeps the 2.5 fidelity tiers and adds three capabilities: looping GIF animation, editable SVG vector output and a complexity control that decides how much the model plans before rendering. Flare is the default choice when response time matters. In APIPod, the public model ID is gpt-image-2.6-flare. It supports text-to-image and reference-image editing, and returns GIF and SVG results as stored artifacts. operationId: create-gpt-image-2.6-gpt-image-2.6-flare requestBody: required: true content: application/json: schema: type: object title: GPT Image 2.6 Flare required: - model - prompt properties: model: type: string title: Model ID description: Public APIPod model ID. const: gpt-image-2.6-flare prompt: type: string title: Prompt maxLength: 32000 description: >- Used to describe the generated images. For GIF output, describe the subject, the motion and how the loop should close. image_urls: type: array title: Image Urls maxItems: 16 items: type: string description: >- Publicly reachable source or reference image URLs. Not supported together with gif or svg output. output_format: enum: - png - jpeg - webp - gif - svg type: string title: Output Format default: png description: >- Output format. gif and svg are new in GPT Image 2.6 and are only available for text-to-image; svg returns a single result, and neither format supports output_compression or transparent backgrounds. complexity: enum: - low - medium - high type: string title: Complexity default: high description: >- How much the model plans before rendering. low suits focused edits such as changing a background; high helps with dense text and complex layouts. Defaults to high and costs nothing extra. quality: enum: - auto - low - medium - high - xhigh - max type: string title: Quality default: auto description: >- Output fidelity tier. Must be at least medium when background is transparent. background: enum: - auto - opaque - transparent type: string title: Background default: auto description: >- Background mode. transparent returns an alpha-channel image and requires quality of medium or higher. aspect_ratio: enum: - auto - '1:1' - '2:3' - '3:2' - '3:4' - '4:3' - '4:5' - '5:4' - '9:16' - '16:9' - '21:9' type: string title: Aspect Ratio default: auto description: Aspect ratio of the generated image. resolution: enum: - 1K - 2K - 4K type: string title: Resolution default: 1K description: Resolution tier of the generated images. size: type: string title: Size description: >- Exact pixel size as WIDTHxHEIGHT, for example 1024x1536. Each side must be a multiple of 16 and at most 3840. Takes precedence over resolution and aspect_ratio, and sets the GIF frame size. frame_count: type: integer title: Frame Count minimum: 2 maximum: 64 default: 9 description: >- Number of GIF frames, 2-64. Only read when output_format is gif; defaults to 9. frame_duration_ms: type: integer title: Frame Duration (ms) minimum: 20 maximum: 2000 default: 200 description: >- Duration of each GIF frame in milliseconds, 20-2000. Only read when output_format is gif; defaults to 200. output_compression: type: integer title: Output Compression minimum: 0 maximum: 100 description: >- Compression level 0-100 for jpeg and webp output. Not supported by gif or svg. example: model: gpt-image-2.6-flare 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: Task accepted content: application/json: schema: type: object title: Task Submit Response required: - code - message - data properties: code: type: integer data: type: object title: Task Submit Data properties: task_id: type: string description: generatation task id description: Data content for task submission message: type: string 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", "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", "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", "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", "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", "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: Use your APIPod API key as a Bearer token in the Authorization header. ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.