Google Gemini 2.5 Flash Image Preview Text To Image
Playground
Try it on WaveSpeedAI!Google Gemini 2.5 Flash Text-to-Image delivers state-of-the-art text-to-image generation and image editing with previews. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Gemini 2.5 Flash Image Preview is Google’s fast and efficient text-to-image generation model built on the Gemini architecture. Generate high-quality images from text descriptions with flexible aspect ratios and multiple output formats — all at an affordable price.
Why It Stands Out
- Fast generation: Optimized for speed while maintaining high visual quality.
- Prompt Enhancer: Built-in AI-powered prompt optimization for better image results.
- Flexible aspect ratios: Choose from multiple aspect ratio presets to fit your content needs.
- Multiple output formats: Export as PNG or other formats based on your requirements.
- Powered by Gemini: Leverages Google’s advanced multimodal AI for strong prompt understanding.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image you want to generate. |
| aspect_ratio | No | Output aspect ratio (square, portrait, landscape, etc.). |
| output_format | No | Output format: png, jpeg, etc. (default: png). |
| enable_sync_mode | No | Wait for result before returning response (API only). |
| enable_base64_output | No | Return base64 string instead of URL (API only). |
How to Use
- Write a prompt describing the image you want. Use the Prompt Enhancer for AI-assisted optimization.
- Select aspect ratio — choose the format that fits your use case.
- Choose output format — select PNG or other available formats.
- Click Run and download your image.
Best Use Cases
- Quick Prototyping — Rapidly generate visual concepts and ideas.
- Social Media Content — Create images sized for different platforms.
- Marketing & Advertising — Produce eye-catching visuals for campaigns.
- Creative Exploration — Experiment with different styles and concepts affordably.
- Design Mockups — Generate placeholder images and visual references.
Pricing
| Output | Price |
|---|---|
| Per image | $0.038 |
Pro Tips for Best Quality
- Be descriptive in your prompt — include style, mood, lighting, composition, and specific details.
- Use style keywords like “photorealistic,” “illustration,” “digital art,” or “cinematic” to guide the aesthetic.
- Choose the appropriate aspect ratio for your intended use (square for social media, wide for banners, etc.).
- Use PNG format when you need higher quality or transparency support.
Notes
- Processing time varies based on current queue load.
- Please ensure your prompts comply with Google’s Safety Guidelines.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(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-preview/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
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| aspect_ratio | string | No | - | 1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9 | The aspect ratio of the generated media. |
| output_format | string | No | png | png, jpeg | The format of the output image. |
| enable_sync_mode | boolean | No | false | - | 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_output | boolean | No | false | - | 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
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<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.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |