FLUX.1 Pro Erase is a fast AI object removal and image inpainting model that removes objects from images using a black-and-white mask, then fills the selected area with natural, context-aware detail. Ready-to-use REST inference API for object removal, photo cleanup, product image editing, background repair, creative retouching, marketing assets, and professional image editing workflows with simple integration, no coldstarts, and affordable pricing.
Ocioso

$0.08por execução·~12 / $1

WaveSpeed AI FLUX V1 Pro Erase removes selected elements from an image using a mask, then fills the masked region with regenerated content that blends naturally with the surrounding scene. It is suitable for object removal, cleanup, retouching, and image refinement workflows.
Mask-based object removal Remove unwanted objects, distractions, or visual clutter from an image with a dedicated mask input.
Clean scene-aware fill Regenerate the selected region so it blends with the surrounding image content.
Simple erase workflow Upload an image, provide a mask, adjust dilation, and generate a cleaned result.
Flexible edge expansion
Use dilate_pixels to slightly expand the masked region for smoother inpainting boundaries.
Multiple output formats
Export the result in supported formats such as jpeg.
Production-ready API Suitable for photo cleanup, product image refinement, background editing, and visual post-processing workflows.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Input image to edit. |
| mask_image | Yes | Mask image indicating the region to erase and regenerate. |
| dilate_pixels | No | Number of pixels to expand the mask before regeneration. Default: 10. |
| output_format | No | Output image format, such as jpeg. |
dilate_pixels to slightly expand the masked area for cleaner blending.Remove small desk objects from a workspace photo so the final scene looks cleaner and more minimal.
Just $0.08 per image.
dilate_pixels and output_format do not affect pricingdilate_pixels when edges need smoother blending.jpeg for convenience, or choose another format when your workflow needs it.image and mask_image are required.dilate_pixels defaults to 10.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-v1-pro/erase with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Flux v1 Pro Erase below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-v1-pro/erase" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"image": "https://example.com/your-input.jpg",
"dilate_pixels": 10,
"output_format": "jpeg"
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/flux-v1-pro/erase", {
"image": "https://example.com/your-input.jpg",
"dilate_pixels": 10,
"output_format": "jpeg"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/flux-v1-pro/erase",
{
"image": "https://example.com/your-input.jpg",
"dilate_pixels": 10,
"output_format": "jpeg"
}
)
print(output["outputs"][0]) # → URL of the generated outputFlux v1 Pro Erase is a WaveSpeedAI model for object / watermark removal, exposed as a REST API on WaveSpeedAI. FLUX.1 Pro Erase is a fast AI object removal and image inpainting model that removes objects from images using a black-and-white mask, then fills the selected area with natural, context-aware detail. Ready-to-use REST inference API for object removal, photo cleanup, product image editing, background repair, creative retouching, marketing assets, and professional image editing workflows with simple integration, no coldstarts, and affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/flux-v1-pro-erase.
Flux v1 Pro Erase starts at $0.080 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `image`, `dilate_pixels`, `mask_image`, `output_format`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/flux-v1-pro-erase.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.