MMAudio takes a silent or quiet video and synthesizes matching audio from scratch, saving you hours of hunting for sound effects or working with audio editors. Whether you are a content creator trying to make a clip feel real or a video editor who needs quick ambient sound, this model reads the visual content and generates audio that fits the scene. The model accepts a text prompt alongside your video, so you can steer the output toward specific sounds like rustling leaves, city traffic, or crowd murmur. A negative prompt lets you exclude unwanted sound types, such as music, keeping the result focused on the exact audio texture you need. You can adjust duration and inference steps to balance quality against generation speed. MMAudio slots into post-production without requiring audio software or technical expertise. Upload your clip, write a brief description of the soundscape you want, and download a video file with synchronized audio ready for editing or publishing. It is available free on Picasso IA, so your first generation can happen within minutes.
MMAudio generates synchronized audio from video content using AI, solving one of the most time-consuming parts of video post-production: finding or creating sound that actually fits what is on screen. On Picasso IA, you upload a silent or low-audio clip, describe the sounds you want, and the model synthesizes audio that matches the visual context. A filmmaker adding ambient rain to an outdoor scene, a social media creator needing subtle footstep sounds for a cooking video, or an animator wanting soft machine hum for a tech demo can all use it without any audio software. The result is a downloadable video file with the generated audio already embedded and ready to use.
Do I need programming skills or technical knowledge to use this? No, just open MMAudio on Picasso IA, adjust the settings you want, and hit generate.
Is MMAudio free to try? Yes, you can run the model for free on Picasso IA without signing up. Credits may apply for longer or higher-quality generations.
How long does it take to get results? Most generations finish in under a minute for clips up to 8 seconds. Longer clips or higher inference step counts may take a bit more time.
What output format does MMAudio return? The model returns a video file with the generated audio already merged in, ready to download and drop into your editing timeline.
Can I customize the audio style or content? Yes. The text prompt lets you describe any sound environment in plain language, and the negative prompt lets you exclude specific sound types like music or voices. The CFG strength setting controls how closely the output follows your prompt.
What happens if the generated audio does not match the video well? Try refining your text prompt with more specific descriptors, increase the number of inference steps for better quality, or use a different random seed to get a fresh variation of the audio.
Everything this model can do for you
Generates audio that matches the visual content and timing of your uploaded video.
Steer the sound output using plain language to describe exactly what you want to hear.
Exclude unwanted sound types like music or voices by listing them in the negative prompt field.
Set output audio length from a few seconds up to match the full length of your clip.
Increase the number of steps for higher audio fidelity or reduce them for faster results.
Upload a video and receive a finished audio-synced file without any post-processing.
Reuse a seed value to regenerate the same audio output for consistency across revisions.
High-quality, context-aware audio output
