WaveSpeedAI APIImage Effects Advanced Photography

Image Effects Advanced Photography

Image Effects Advanced Photography

Playground

Try it on WavespeedAI!

Advanced-Photography is an image enhancement model designed to simulate high-end DSLR photography. It applies dynamic range correction, color grading, and detail refinement to produce professional-quality visuals from standard images.

Features

📸 Advanced-Photography

Advanced-Photography is a powerful image enhancement model that upgrades ordinary images to resemble professional DSLR-quality photography. It enhances lighting, sharpens details, and applies subtle color grading for a polished, cinematic look.

✨ Features

  • Dynamic range and exposure correction
  • Intelligent sharpening and detail enhancement
  • Professional-grade color tone adjustment

🖼️ Input

  • Any standard image (JPG/PNG)
  • Best results with well-lit inputs

🧪 Output

  • Enhanced photo with DSLR-style quality and aesthetic

🎯 Use Cases

  • Social media and portfolio enhancement
  • Product photos and promotional content
  • Personal photo upscaling and beautification

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/image-effects/advanced-photography" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "image": "https://portal.volccdn.com/obj/volcfe/cloud-universal-doc/upload_bada876d0cb71c5598a6e0885f14c83c.png",
    "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

ParameterTypeRequiredDefaultRangeDescription
imagestringYes-The image to edit, can be a URL or base64 encoded image.
enable_base64_outputbooleanNofalse-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

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.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
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 Query Parameters

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, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
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
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