Google Gemini 2.5 Flash Image Text To Image API Documentation

Google Gemini 2.5 Flash Image Text To Image API Documentation

Playground

Try it on WaveSpeedAI!

Google Gemini 2.5 Flash Image offers advanced text-to-image generation and image editing with creative controls for quality images. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Gemini 2.5 Flash Image is Google’s state-of-the-art image generation and editing model, part of the Gemini 2.5 family. It’s optimized for fast, conversational, and multi-turn creative workflows, enabling high-quality visual generation and editing within seconds.


✨ Key Features

  • Native Image Generation & Editing Natively supports both creation and modification of images, offering a seamless multimodal workflow.

  • Multi-Image Fusion Combine multiple inputs into one cohesive image — perfect for product mockups, scene compositing, and style fusion.

  • Character & Style Consistency Maintains consistent appearance, identity, and aesthetic across prompts and sessions, ideal for storytelling and branding.

  • Conversational Editing Make precise visual changes simply by describing them in natural language (e.g., “remove the shadow,” “add a sunset glow”).

  • Visual Reasoning Performs complex understanding tasks such as diagram interpretation, layout composition, and conceptual illustration.

  • SynthID Watermarking All generated and edited images include Google’s invisible SynthID watermark for responsible AI use and transparency.


🧩 How to Use

  1. Enter your prompt describing the desired image or edit.
  2. Select the aspect ratio (e.g., 16:9, 3:2, 1:1, 9:16).
  3. Choose the output format (png or jpeg).
  4. (Optional) Enable sync mode for inline response generation.
  5. Click Run to create your image instantly.

💰 Pricing

  • $0.038 per image generation

📝 Notes

  • Works best with descriptive, context-rich prompts that include composition and style details.
  • Supports aspect ratios up to 21:9 for wide cinematic frames.
  • Output format supports PNG (for transparent graphics) and JPEG (for compressed photography).
  • Please follow Google’s model usage policies.
  • If your input violates the safety rules, the system will block generation and return an error message.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "aspect_ratio": "1:1",
  "output_format": "png"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/google/gemini-2.5-flash-image/text-to-image" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
aspect_ratiostringNo-1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9The aspect ratio of the generated media.
output_formatstringNopngpng, jpegThe format of the output image.
enable_sync_modebooleanNofalse-If set to `true`, the request attempts to wait for the generated result and return outputs in the same response. If the result is not ready within the sync wait window, the API can return a timeout body while the task continues processing. This option is only available via the API and is supported only by some models.
enable_base64_outputbooleanNofalse-If set to `true`, the prediction's `output` strings are returned as **naked base64** (no `data:<mime>;base64,` prefix). When `false` (default), outputs are returned as URLs pointing to our CDN.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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