Bria Video Background Remover removes the background from videos with support for transparency and custom background colors. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
En attente
$0.05par exécution·~20 / $1
Bria Fibo Video Background Remover is an AI-powered video processing model that removes backgrounds from videos with strong temporal consistency and clean subject separation. Upload your video, choose a replacement background color, and generate a processed result suitable for compositing, social content, product videos, and professional editing workflows.
Bria’s V-RMBG 3.0 is now live as a major upgrade to Bria’s production-ready video background removal stack.
Clean background removal
Precisely separates subjects from backgrounds across all video frames.
Multiple background colors
Replace the background with transparent output or solid colors such as black, white, gray, red, green, blue, yellow, cyan, or magenta.
Temporal consistency
Maintains smoother, more stable output throughout the full video.
Audio preservation
Optionally keep the original audio track in the output.
Flexible output formats
Export as WebM VP9 or other supported container/codec combinations depending on your workflow.
Production-ready workflow
Useful for compositing, creator content, product isolation, and professional post-production.
| Parameter | Required | Description |
|---|---|---|
| video | Yes | Source video for background removal (URL or upload). |
| background_color | No | Replacement color: Transparent, Black, White, Gray, Red, Green, Blue, Yellow, Cyan, Magenta. |
| output_container_and_codec | No | Output format option. Default: webm_vp9. |
| preserve_audio | No | Keep the original audio in the output video. Default: enabled. |
| Option | Container | Codec | Alpha Support |
|---|---|---|---|
webm_vp9 | WebM | VP9 | Yes |
mp4_h264 | MP4 | H.264 | No |
mp4_h265 | MP4 | H.265 / HEVC | No |
mov_h265 | MOV | H.265 / HEVC | Partial |
mov_proresks | MOV | ProRes 4444 | Yes |
mkv_h264 | MKV | H.264 | No |
mkv_h265 | MKV | H.265 / HEVC | No |
mkv_vp9 | MKV | VP9 | Yes |
gif | GIF | — | Yes |
Important: If you select Transparent as background_color, you must use an output format that supports alpha, such as webm_vp9, mov_proresks, mkv_vp9, or gif. Otherwise, the request may return a 422 error.
preserve_audio enabled if you want the original audio retained.Remove the background from a presenter clip, keep the original audio, and export with transparency for use in a video editor or motion graphics workflow.
| Billing Unit | Cost |
|---|---|
| Per second | $0.05 |
webm_vp9, mov_proresks, mkv_vp9, or gif.gif only for short clips where lightweight transparent output matters more than fidelity.mp4_h264 offers strong compatibility, but it does not support transparency.mov_proresks is a strong choice for higher-quality professional editing workflows.preserve_audio enabled when voice, music, or sound effects need to remain intact.video is the only required input.Transparent with a non-alpha format may result in an API error.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bria/fibo/video-background-remover with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Fibo Video Background Remover below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
"background_color": "Transparent",
"output_container_and_codec": "webm_vp9",
"preserve_audio": true
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/bria/fibo/video-background-remover" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d "$REQUEST_BODY")
TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
-H "Authorization: Bearer $WAVESPEED_API_KEY")
RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
case "$STATUS" in
completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
esac
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/bria/fibo/video-background-remover";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
async function requestJson(url, options = {}) {
const response = await fetch(url, options);
if (!response.ok) throw new Error(await response.text());
return response.json();
}
// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
method: "POST",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
"background_color": "Transparent",
"output_container_and_codec": "webm_vp9",
"preserve_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;
// 2. Poll until the prediction finishes.
while (true) {
const resultBody = await requestJson(resultUrl, {
headers: { "Authorization": `Bearer ${apiKey}` },
});
const result = resultBody.data ?? resultBody;
if (result.status === "completed") {
console.log(result.outputs);
break;
}
if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
await new Promise(resolve => setTimeout(resolve, 2000));
}import json
import os
import time
from urllib.request import Request, urlopen
api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
"video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
"background_color": "Transparent",
"output_container_and_codec": "webm_vp9",
"preserve_audio": True
}
def request_json(url, data=None):
request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
with urlopen(request) as response:
return json.load(response)
# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/bria/fibo/video-background-remover", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"
# 2. Poll until the prediction finishes.
while True:
result_body = request_json(result_url)
result = result_body.get("data", result_body)
status = result.get("status")
if status == "completed":
print(result.get("outputs", []))
break
if status in {"failed", "cancelled", "timeout"}:
raise RuntimeError(result)
if status not in {"created", "processing"}:
raise RuntimeError(f"Unexpected status: {status}")
time.sleep(2)Fibo Video Background Remover is a Bria model for object / watermark removal, exposed as a REST API on WaveSpeedAI. Bria Video Background Remover removes the background from videos with support for transparency and custom background colors. Ready-to-use REST inference API, best performance, no cold starts, 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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/bria/bria-fibo-video-background-remover.
Fibo Video Background Remover starts at $0.050 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: `video`, `background_color`, `output_container_and_codec`, `preserve_audio`. 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/bria/bria-fibo-video-background-remover.
Median end-to-end generation time on WaveSpeedAI is around 38 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Bria). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.