Openai Dall E 2

Playground

Original DALL-E 2 from OpenAI for classic text-to-image generation via the OpenAI Image Generation API. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

OpenAI DALL-E 2

Create imaginative images from text descriptions with OpenAI’s DALL-E 2 — a pioneering text-to-image model known for its artistic versatility and creative interpretation. From oil paintings to digital art, DALL-E 2 transforms your words into visually compelling artwork with distinctive style.

Looking for higher fidelity? Try GPT-Image-1 High Fidelity for maximum quality output.

Why It Looks Great

Artistic versatility: Excels at various art styles — oil painting, watercolor, impressionism, digital art, and more.
Creative interpretation: Adds artistic flair and imagination to your descriptions.
Proven reliability: Battle-tested model with consistent, dependable results.
Prompt Enhancer: Built-in tool to refine and expand your descriptions automatically.
Affordable quality: Strong artistic generation at a competitive price point.

Parameters

Parameter	Required	Description
prompt	Yes	Text description of the image you want to generate.

How to Use

Write your prompt — describe your image with details about subject, style, colors, and mood.
Use Prompt Enhancer (optional) — click to automatically enrich your description.
Run — click the button to generate.
Download — preview and save your generated image.

Pricing

Flat rate per image generation.

Output	Cost
Per image	$0.12

Best Use Cases

Artistic Illustrations — Generate paintings, sketches, and artistic interpretations.
Creative Exploration — Experiment with visual ideas and artistic directions.
Concept Visualization — Bring abstract ideas to life with artistic rendering.
Social Media Content — Create unique, eye-catching visuals for posts.
Mood Boards & Inspiration — Generate reference imagery for creative projects.

Example Prompts

“A calm river winding through a misty forest, oil painting style, soft blending, impressionistic colors, morning light”
“A cozy bookshop interior with warm lighting, watercolor illustration, soft edges”
“Surreal floating islands with waterfalls, digital art, vibrant fantasy colors”
“Portrait of a cat wearing a Renaissance collar, classical oil painting style”
“Abstract geometric cityscape at sunset, art deco poster design”

Pro Tips for Best Results

Specify the art style explicitly — “oil painting”, “watercolor”, “impressionistic”, “digital art”.
Include color and lighting details — “soft blending”, “morning light”, “warm tones”.
Describe mood and atmosphere for more evocative results.
Use the Prompt Enhancer to add artistic terminology to simple ideas.
DALL-E 2 interprets creatively — embrace the artistic interpretation.
Combine subject matter with style references for best results.

Notes

DALL-E 2 is optimized for artistic and creative imagery.
Processing time is typically fast and consistent.
For photorealistic needs, consider GPT-Image-1 variants.

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/openai/dall-e-2" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "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.
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

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, the ID of the prediction to get
data.model	string	Model ID used for the prediction
data.outputs	string	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.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

Kwaivgi Kling Video To Audio Openai Dall E 3