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Reve Remix Fast

Reve Remix Fast

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Reve Remix-Fast delivers rapid image remixing and editing from Reve Art AI, enabling quick creative iterations. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

ReVE — remix-fast

Reve remix-fast restyles or reimagines an input image from a short prompt while preserving the scene’s structure and composition. It’s built for rapid iteration on portraits, product shots, and concept frames.


Key Features

  • Creative restyling with natural lighting, color, and mood control
  • Reference-guided generation to keep identity and layout stable
  • Flexible aspect ratios for square, vertical, or widescreen outputs
  • Fast turnaround for A/B testing and batch workflows

Parameters

  • prompt (required) Describe the desired change or style. Example: vintage film portrait, soft 1950s glamour lighting, smooth skin texture, cinematic mood.

  • reference_images (required) Up to four images (PNG/JPEG/WEBP). The first image is treated as primary; additional images can guide clothing, color, or composition.

  • aspect_ratio Choose from presets such as 1:1, 3:4, 4:3, 16:9, etc.

  • output_format jpeg for compact sharing, png for lossless editing, webp for web delivery.


How to Use

  1. Upload 1–4 clear, well-lit reference images.
  2. Enter a concise prompt describing style, lighting, and any must-keep elements.
  3. Select aspect_ratio and output_format.
  4. Run and review. Refine the prompt or swap references to iterate.

Prompt tips

  • State what to preserve: keep pose and background; only change suit color and lighting.
  • Name concrete attributes: tungsten street lights, shallow depth of field, classic film grain.
  • Keep sentences short; avoid conflicting style terms.

Pricing

  • $0.01 per image generation

Notes

  • Use high-quality references; heavy compression limits detail.
  • For strong identity preservation, keep the main subject large in the primary reference.
  • Complex composites may need multiple passes with focused prompts.

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/reve/remix-fast" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "aspect_ratio": "1:1",
    "output_format": "jpeg",
    "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

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
reference_imagesarrayYes-1 ~ 4 itemsA list of images to use as style references.
aspect_ratiostringNo1:116:9, 9:16, 3:2, 2:3, 4:3, 3:4, 1:1The aspect ratio of the generated media.
output_formatstringNojpegjpeg, png, webpThe format of the output image.
enable_sync_modebooleanNofalse-If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.
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 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.outputsstringArray 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.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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