Bria Increase Resolution
Playground
Try it on WavespeedAI!Bria Increase resolution upscales the resolution of any image. It increases resolution using a dedicated upscaling method that preserves the original image content without regeneration.
Features
Bria Increase Resolution
Bria Increase Resolution enlarges images by a fixed 2× or 4× while preserving sharp edges, textures, and natural color. It’s built on licensed training data for compliant commercial use and is ideal for design assets, product photos, and AI artwork that already look good but need more pixels.
✨ Highlights
- Fixed-factor upscale — 2× or 4× with consistent geometry and minimal ringing.
- Quality-first — enhances detail while avoiding over-sharpening or halos.
- Production-friendly I/O — synchronous or async API; URL or BASE64 output.
- Performance guardrails — maximum total area 8192×8192 px.
🧩 Parameters
- 
image* (required) Source image (URL or upload). 
- 
desired_increase* (dropdown, required) Resolution multiplier: 2 or 4. The model respects a max total area of 8192×8192 px. 
🚀 How to Use
- Upload/Paste image (required).
- Choose desired_increase = 2 or 4.
- Click Run to generate and download the upscaled result.
💰 Pricing
- Per run: $0.04
🧠 Tips
- Choose the factor by destination: web UI elements often need 2×; print or large hero images benefit from 4× (when within the area cap).
- Pipeline pairing: combine with a gentle denoise or JPEG-artifact cleanup before upscaling for best results.
Notes
- This model is best suited for images that are already reasonably sharp and clean, and need additional resolution. For extremely blurry or heavily compressed sources, consider using ultimate-image-upscaler.
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/bria/increase-resolution" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "desired_increase": 2,
    "enable_sync_mode": false,
    "enable_base64_output": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description | 
|---|---|---|---|---|---|
| image | string | Yes | - | The URL of the image to erase. | |
| desired_increase | integer | No | 2 | 2, 4 | Resolution multiplier. Possible values are 2 or 4. Maximum total area is 8192x8192 pixels | 
| 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, orfailed | 
| 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 |