Reve Edit Fast
Playground
Try it on WavespeedAI!Reve Edit-Fast delivers lightning-fast image edits: upload a photo and transform it with text prompts for precise, natural results. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Reve — Edit Fast
Reve Edit Fast applies prompt-guided edits to a reference image with speed prioritized. Compared to the previous Reve editor, this version renders significantly faster while keeping clean colors, sharp edges, and stable composition—great for batch creative work, thumbnails, product shots, and stylized photography.
Key Features
- Prompted image-to-image editing that respects the original composition
- Fast inference for rapid iteration and A/B testing
- Natural color handling and edge preservation to avoid over-smearing
- Flexible output formats for downstream pipelines
Parameters
-
prompt Describe the target look or change. Example: dreamy fairy-tale glow, soft pastel palette, floating petals, gentle rim light.
-
image Source image URL or upload. Higher-quality sources yield cleaner edits.
-
output_format jpeg for compact delivery, png for lossless editing, webp for web pipelines.
How to Use
- Upload or paste your source image.
- Write a concise prompt describing the desired changes (mood, palette, texture, lighting).
- Choose output_format.
- Click Run and review. Iterate by refining the prompt; small wording changes can produce noticeably different looks.
Prompting Tips
- State what to keep: keep framing and subject identity; add soft golden hour lighting.
- Name concrete elements: glowing flowers, pastel color grade, light fog, film-grain texture.
- Use short sentences or comma-separated phrases; avoid overly long narratives.
- For product or portrait work, keep edits subtle to preserve brand colors and skin tone.
Pricing
- $0.01 per image
Notes
- Input resolution and sharpness set the quality ceiling; avoid heavy compression.
- For heavy relighting or structural changes, try multiple passes with focused prompts rather than one long instruction.
- Ensure you have rights to the images you upload and that your edits comply with platform policies.
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/edit-fast" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"output_format": "jpeg",
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | The image to edit-fast. | |
| prompt | string | Yes | - | The positive prompt for the generation. | |
| output_format | string | No | jpeg | jpeg, png, webp | The format of the output image. |
| enable_sync_mode | boolean | No | false | - | 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_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 |