Mirelo Ai Sfx V1.5 Video To Video
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Try it on WavespeedAI!Mirelo SFX V1.5 generates synchronized sound effects and audio for any video, producing synced SFX to enhance visuals. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Mirelo SFX v1.5 (Video-to-Sound)
Mirelo SFX v1.5 turns your videos into synchronized sound effects using advanced multimodal AI. It listens, sees, and imagines — automatically generating realistic or cinematic sound layers that perfectly match the visual rhythm. Whether it’s footsteps, explosions, or ambient noise, this model brings motion to life.
Why it sounds great
- AI-driven sound synthesis – Generates sound effects that fit object motion, timing, and energy directly from video frames.
- Cinematic awareness – Detects on-screen actions (impacts, motion, intensity) and produces corresponding effects.
- Multiple variations – Create multiple versions of the same video for creative control and sound design diversity.
- High coherence – Outputs seamlessly loopable audio segments aligned to scene transitions.
- Plug-and-play – Just upload a video clip, set samples, and receive ready-to-use sound effects.
Limits and Performance
- Max duration per job: up to 10 seconds (minimum billing covers 5 seconds)
- Processing speed: typically 6–12 seconds per generation
- Input: MP4, MOV, or URL video upload
- Output: AI-generated synchronized sound effects (WAV or MP3)
Pricing
| Duration range (seconds) | Billing rule | Approx. cost per second |
|---|---|---|
| 0–5 s | Minimum charge (5 s) | $0.007 × num_samples × 5 = $0.035 × num_samples |
| 5–10 s | Actual duration billed | $0.007 × num_samples × duration ≈ $0.007 × num_samples per second |
| >10 s | Capped at 10 s | $0.07 × num_samples maximum per run |
How to Use
- Upload a video (drag & drop or paste a URL).
- (Optional) Write a prompt to describe sound context (e.g., “soft footsteps on wood,” “metal clangs,” “cinematic ambience”).
- Set num_samples — the number of different sound versions to generate.
- (Optional) Fix seed for reproducibility or randomize for variation.
- Click Run — preview and download results.
Pro tips for best quality
- Use short, focused clips (≤10s) to maintain strong visual-sound alignment.
- For cinematic realism, include context in the prompt (e.g., “rainy street, distant thunder”).
- Generate multiple samples to audition variations before final mixdown.
- Adjust seed for subtle variations in timing and sound character.
Note
- Each sample is generated independently; total cost scales linearly with
num_samples. - Minimum billing covers 5 seconds even for shorter clips.
- Works best with clear, high-contrast motion — busy scenes may mix sound layers automatically.
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/mirelo-ai/sfx-v1.5/video-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"prompt": "",
"num_samples": 2,
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| video | string | Yes | - | The video for generating the output. | |
| prompt | string | No | - | Text prompt to guide sound effect generation | |
| num_samples | integer | No | 2 | 2 ~ 4 | Number of sound effects to generate |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed to use for the generation. -1 means a random seed will be used. |
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 |