Google Gemini 2.5 Flash Image Text To Image
Playground
Try it on WavespeedAI!Google Gemini 2.5 Flash Image, a powerful new image generation and editing model with advanced features and creative control.
Features
Gemini 2.5 Flash Image is Google’s state-of-the-art image generation and editing model. It is a new variant of the Gemini 2.5 family, specifically designed for fast, conversational, and multi-turn creative workflows. This model is made available to developers through the Gemini API, Google AI Studio, and Vertex AI.
Key Features
- Native Image Generation and Editing: Gemini 2.5 Flash Image is a multimodal model that natively understands and generates images. This allows for a seamless, unified workflow for creating and editing visuals.
- Multi-image Fusion: This powerful feature allows you to combine multiple input images into a single, cohesive, new visual. For example, you can integrate a product into a new scene or restyle a room by merging images of different furniture and decor.
- Character and Style Consistency: A significant advancement is the ability to maintain a consistent character, object, or style across multiple prompts and images. This is essential for storytelling, branding, and generating a series of cohesive assets without needing time-consuming fine-tuning.
- Conversational Editing: The model enables precise, targeted edits using natural language. You can make specific changes like blurring a background, removing an object, altering a subject’s pose, or colorizing a black-and-white photo by simply describing the desired outcome.
- Visual Reasoning: Gemini 2.5 Flash Image benefits from the Gemini model’s deep world knowledge. It can go beyond simple photorealism to perform complex tasks that require genuine understanding, such as interpreting hand-drawn diagrams, assisting with educational queries, and following multi-step instructions.
- SynthID Watermarking: To promote responsible AI and transparency, all images created or edited with Gemini 2.5 Flash Image are embedded with an invisible digital watermark from SynthID. This watermark helps identify the content as AI-generated or edited.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/google/gemini-2.5-flash-image/text-to-image" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"output_format": "png",
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
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 function will wait for the image to be generated and uploaded before returning the response. It allows you to get the image directly in the response. This property is only available through the API. |
enable_base64_output | boolean | No | false | - | If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API. |
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 | Array of URLs to the generated content (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.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
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 |