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MMAudio from Sony AI Full Tutorial Open Source AI Audio Generator for Videos Images and Text

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MMAudio from Sony AI Full Tutorial - Open Source AI Audio Generator for Videos, Images and Text

Full tutorial link > https://www.youtube.com/watch?v=504f8S4MLTw

MMAudio from Sony AI Full Tutorial - Open Source AI Audio Generator for Videos, Images and Text

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MMAudio is the currently state of the art (SOTA) open source free to use AI model to generate sounds for videos, images and text prompts. It is so amazing and high quality and extremely useful to generate sound effects for your AI videos, game assets, or any project where you need specific or free sound effects. In this step by step tutorial I will show you how to install and use this amazing model on your Windows computer with 1-click installation and extremely easy to use Gradio App. My app and installation supports RTX 5000 series GPUs as well as older GPUs. Moreover, I am sharing scripts to 1-click install on Cloud services such as RunPod, Massed Compute and a free Kaggle account notebook. Enjoy.

🔗 Full Instructions, Configs, Installers, Information and Links Shared Post (the one used in the tutorial) ⤵️

▶️ https://www.patreon.com/posts/click-to-open-post-used-in-tutorial-117990364

🔗 Mandatory Requirements Tutorial⤵️

▶️ https://youtu.be/DrhUHnYfwC0

Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis

MMAudio generates synchronized audio given video and/or text inputs. Our key innovation is multimodal joint training which allows training on a wide range of audio-visual and audio-text datasets. Moreover, a synchronization module aligns the generated audio with the video frames.

00:00:00 Introduction to MMAudio: State-of-the-Art AI Audio Generation Model

00:00:06 Exploring MMAudio's Versatility: Generating Audio from Video, Text, and Images

00:00:23 Demonstrating Video to Audio Functionality and Initial Prompting Concepts

00:00:45 Showcasing AI Generated Video Examples with Impressive Audio Quality Matching

00:01:01 Highlighting Perfect Audio Synchronization with Input Video Content: Mind-blowing Results

00:01:17 Illustrating Realistic Video Audio Generation Capabilities with MMAudio for Enhanced Immersion

00:01:31 Example of Image Upload and Automatic Audio Generation Based on Visual Input

00:01:42 Text Prompt to Audio Generation Demonstration: Creating Soundscapes from Written Descriptions

00:02:06 Tutorial Roadmap: Step-by-Step Guide for Local Windows and Cloud Installation Options

00:02:47 Accessing Instruction Post & Downloading the Latest MMAudio Installer Zip File - Quick Guide

00:03:10 Understanding System Requirements and Performing One-Time Mandatory Setup for AI Applications

00:03:28 Detailed Installation Process: Extracting Zip & Running Windows Install.bat Script Locally

00:04:00 Clarifying Gradio Application Compatibility and Supported GPU Series (RTX 5000, 4000, 3000, etc.)

00:04:24 Verifying Installation Completion, Checking for Errors, and Troubleshooting with Log Files

00:04:41 Launching MMAudio: Running Start App.bat and Selecting GPU Option (Above/Below 8GB VRAM)

00:05:03 Observing Initial Model Download Process and First Look at the MMAudio User Interface

00:05:19 Navigating the Interface: Configuration Settings and Exploring Video to Audio Features

00:05:30 Video to Audio Demonstration: Generating Ambient Sound Directly from Video Content Without Prompts

00:06:21 Leveraging Google AI Studio for Advanced Prompt Engineering and Enhanced Audio Generation

00:07:04 Generating Multiple Audio Variations and Adjusting Key Parameters like Steps & Guidance Strength

00:08:18 In-depth Explanation and Demonstration of Batch Processing for Efficient Video to Audio Conversion

00:09:18 Understanding Batch Processing Logic: Defining Prompts Per Video and Output Folder Configuration

00:10:41 Text to Audio Functionality Deep Dive: Generating Diverse Audio Files Solely from Text Prompts

00:11:52 Streamlining Workflow with Batch Processing for Text to Audio: Generating Multiple Prompts at Once

00:12:50 Image to Audio Functionality Showcase: Generating Contextual Audio Based on Uploaded Images

00:13:31 Optimizing Image to Audio Results with Effective Prompting Techniques for Targeted Sound Design

00:14:02 Step-by-Step Guide to Batch Processing for Image to Audio: Automating Audio Generation for Multiple Images

00:14:48 Mastering Configuration Settings: Saving, Loading, and Resetting Custom Parameter Presets

00:15:27 Live Speed Comparison: Analyzing Performance Differences Between RTX 5090 and 3090 Ti GPUs

00:17:50 Cloud Service Installation Tutorial: Massed Compute, Runpod, and Free Kaggle Account Setup

00:19:29 Kaggle Setup Walkthrough: Importing Notebook, Running the App, and Downloading Generated Files as Zip

00:20:18 Exploring Patreon Exclusive Content, Discord Community, GitHub Repository, Reddit, and LinkedIn Links

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Video Transcription

  • 00:00:00 Greetings everyone. Today, I am going to introduce  you to the most advanced state-of-the-art audio  

  • 00:00:06 generation model, MMAudio. So what does this  model do is, it is able to generate audio  

  • 00:00:13 according to the input video, and also  it is able to generate audio from text,  

  • 00:00:17 and also it is able to generate from input image.  So let me show you some of the examples and let's  

  • 00:00:23 begin this tutorial. As you have seen, I have  uploaded this video and I have entered a prompt,  

  • 00:00:34 and according to the video content and the  prompt, it has generated this video. I will  

  • 00:00:39 show you how to write good prompts. Let's  see several other examples. This is second  

  • 00:00:45 example. This is another amazing AI generated  video and let's see the audio it generated.  

  • 00:01:01 As you can see, the audio is perfectly matching  to the input video and it is just mind-blowing.  

  • 00:01:07 It is even better with the more realistic videos.  Let's see how it generates. So the audio of this  

  • 00:01:17 video was generated with the MMAudio. Let me  show you another example. Just purely amazing.  

  • 00:01:31 And let's see an example of image upload and audio  generation for that image. Just purely amazing.  

  • 00:01:42 Finally, it is also able to generate audio from  just text prompts. Let's see an example. Just  

  • 00:01:54 amazing. You see this is the prompt and this  was the generation. Let's see another example.  

  • 00:02:06 Just purely amazing. With a simple prompt  and amazing output. So in this tutorial,  

  • 00:02:11 I will show you how to install and run this  application locally on your Windows computer  

  • 00:02:17 with full speed mode and also VRAM optimized  mode. Moreover, I will show on Massed Compute,  

  • 00:02:24 my favorite most affordable cloud platform. On  Runpod, which is favorite of a lot of people,  

  • 00:02:31 and on a free Kaggle account who is GPU poor and  also doesn't want to pay any money to any cloud  

  • 00:02:36 services. The application I have developed is  extremely advanced. I will show every feature of  

  • 00:02:42 it. So watch the Windows tutorial part, then you  can run it either locally or on a cloud service  

  • 00:02:47 that you would like. So as usual, I have prepared  an amazing instruction post. The link of this post  

  • 00:02:53 will be in the description of the video in below.  So check it out. Once you entered to this post,  

  • 00:02:59 you will see the latest installer zip file.  I recommend you to read this post from top to  

  • 00:03:04 bottom. So click the latest zip file to download  it. Before starting installation, make sure that  

  • 00:03:10 you have the requirements. These requirements  are one-time follow. When you follow it, you will  

  • 00:03:15 be able to use all of the AI applications that I  show you, that I teach you, that I share. So this  

  • 00:03:22 is one-time mandatory to follow. Once you have  followed the requirements, move the downloaded  

  • 00:03:28 zip file into any disk that you want to install.  Let's install it into my E drive and extract. Do  

  • 00:03:34 not install it into a shared drive like OneDrive,  like Google Drive. So install it into your one of  

  • 00:03:41 the internal drive. Then double click Windows  install.bat file, more info, run anyway. Do not  

  • 00:03:47 run anything as administrator. Always use double  click or select and hit enter. This will download  

  • 00:03:54 and install everything automatically for you.  Just wait for installation to be complete. This  

  • 00:04:00 Gradio application that I have developed working  on RTX 5000 series as well, as well as with the  

  • 00:04:06 older GPUs like RTX 4000 series, 3000 series,  probably 2000, 1000 series. I haven't tested,  

  • 00:04:13 but it should work. But it is working beginning  from 3000 to above and it should work with the  

  • 00:04:18 2000 and older GPUs as well. When you see that  virtual environment made and installed properly,  

  • 00:04:24 the installation has been completed. Scroll up  and see if there are any errors or not. If you  

  • 00:04:29 see any errors, select all of the logs,  copy into a text file and just email me,  

  • 00:04:35 message me from Patreon or from Discord. So I can  see your error. So just click anything and it will  

  • 00:04:41 close. Once installed, you are ready to run it. So  double click Windows start App.bat file, more info,  

  • 00:04:48 run anyway and it will start the application.  So if you have above 8 GB GPUs, select option  

  • 00:04:53 one. If you have below 8 GB GPUs, select option  two. According to your GPU, select it. Wait for  

  • 00:04:59 application to start. Initially, it will download  the models, then it will start the application.  

  • 00:05:03 You see it is downloading the missing models right  now. They will be all downloaded into this folder.  

  • 00:05:09 This is one time only download, so it will not  download again once they are downloaded. Okay,  

  • 00:05:14 so the application has been started and  this is our interface. First of all,  

  • 00:05:19 it will generate the default configuration and  load it, but you can always save your configs  

  • 00:05:24 and load them. It has 3 options, video to  audio, text to audio and image to audio. So  

  • 00:05:30 let's begin with video to audio. Click here and  select your input video. You can use any video,  

  • 00:05:37 the videos that has already sound, it doesn't  matter. So let's try this video for example.  

  • 00:05:42 Let me play it. There is no sound. This is  downloaded from CivitAI. So how you should  

  • 00:05:47 prompt this to generate? First of all, you don't  need to prompt. It can already generate according  

  • 00:05:53 to the video. Let's try. Submit. You can see the  status on the started CMD window always. This is  

  • 00:05:59 running on RTX 5090 right now. It is already very  fast. As you see, it is showing the speed and  

  • 00:06:05 everything and it is generated. So you can click  here to play it and it will start playing. Okay,  

  • 00:06:15 so this is the audio it generated for this video  without any prompt. So how you should prompt it? I  

  • 00:06:21 really recommend to use Google AI Studio. This is  an amazing free to use AI right now. So select the  

  • 00:06:29 Flash thinking experimental model. I like this and  click plus icon, upload file. You can use this for  

  • 00:06:36 free and upload your video. Then you can use this  prompt that I have prepared it for you. Paste it,  

  • 00:06:42 wait for upload to be completed. You see, it is  currently extracting the video. If your video  

  • 00:06:47 be too big, it may fail and it is uploaded. It  is only using 1,300 tokens and run. Then this  

  • 00:06:54 will give us a very good prompt to generate audio  for our models and it has given us this prompt.  

  • 00:07:01 So let's copy this prompt. Let's copy and paste  it here. Now you can generate multiple videos at  

  • 00:07:07 once. How you can do that? You see we have number  of generations. Let's generate 10 videos. So it  

  • 00:07:13 will use different seeds and generate 10 audios  for this video. You can also change number of  

  • 00:07:19 steps from here. Recommended is 25, but since it  is really fast, I use 50. It will set it according  

  • 00:07:26 to your input video duration and you can also  change the guidance strength. It will impact how  

  • 00:07:32 much prompt should be followed or not. Moreover,  when you enable save generation parameters,  

  • 00:07:38 it will save all the used parameters. I will show  you. So let's hit submit and the generation has  

  • 00:07:44 been started. You see it is truncating video to  generate accordingly and you will see the progress  

  • 00:07:51 like this. I have spent a lot of time to make  this application perfect. It shows the step speed,  

  • 00:07:56 it shows the generation status, the generation  speed, the time it is going to take. So currently  

  • 00:08:03 it is generating 10 videos and it is taking around  one minute to generate 10 different audios for  

  • 00:08:08 this input video. By the way, this is not the  maximum speed because currently I am recording,  

  • 00:08:13 but it is really really fast and it is also  fast on RTX 3090 Ti as well. I will make a  

  • 00:08:18 comparison to show you. And the 10 videos has been  generated. You can see all of them is displayed in  

  • 00:08:24 here. So you can click like this, then you can  select videos to play them. Let me show you.  

  • 00:08:43 So you can generate more audios until you find  whatever you like most. This is so simple. Every  

  • 00:08:50 generation will be saved inside outputs folder.  Click this open outputs folder and you see this is  

  • 00:08:56 where I have installed and it is inside outputs  folder like this. So let's see the videos. So  

  • 00:09:02 these are the videos, the audios we have generated  and when you open the params, it will show you all  

  • 00:09:08 of the used parameters like this, prompt, negative  prompt, used seed, number of steps and whatever  

  • 00:09:13 there are. We also have batch processing  feature. The batch processing is so simple,  

  • 00:09:18 let me demonstrate you. So put the videos into a  folder like this. You can define a separate prompt  

  • 00:09:25 for every video or you can just use the prompt  written here. It is up to you. So how you can  

  • 00:09:31 define a prompt for each one? Generate a text  file like this 1. This will be matching with  

  • 00:09:37 the first video and type a prompt like test 1.  Then generate another text prompt for the second  

  • 00:09:43 video like 2 and this will be matching with the  second video and let's not generate any prompt for  

  • 00:09:49 the third one and let's make this is the third  video like this and it should use it. Then enter  

  • 00:09:54 your input folder like this and enter your output  folder. Let's say B audio. And then click start  

  • 00:10:01 processing. You can also skip if existing and you  can save generation parameters. Then follow what  

  • 00:10:07 is happening in the CMD window, but you need to  be careful with something. When you have number  

  • 00:10:12 of generations here, it will still apply to  your batch processing. So it is currently going  

  • 00:10:19 to generate 10 videos for every video. So let's  open our target desired folder, which is inside  

  • 00:10:26 here and we can see that it is batch processing  every video. Let's open the parameters. So we can  

  • 00:10:31 see it is using test 1. This is amazing. And  the second video will be also test 1. However,  

  • 00:10:36 it is using different seeds. So this is how batch  processing works. This is the logic of it. Let's  

  • 00:10:41 cancel the batch processing. The batch processing  should be canceled. Then let's make the number of  

  • 00:10:46 generations 1 and I will start batch processing  again. Now it should start generating one time  

  • 00:10:52 for every video and you can watch the progress  here. By the way, the batch processing will be  

  • 00:10:58 canceled once these 10 videos are done. So always  pay attention to the number of generations. And  

  • 00:11:04 currently it is really slow because I am using a  lot of VRAM with the other applications. So let  

  • 00:11:08 me close everything and restart. So what about  text to audio? For text to audio, click here. It  

  • 00:11:13 is just taking prompts to generate audio files.  I already have two examples here. For example,  

  • 00:11:20 this one, just type it. How many you want to  generate the same settings? Let's generate 3

  • 00:11:25 and click submit. It will generate 3 audio  files with this prompt. You can always monitor  

  • 00:11:31 what is happening on CMD, remember that. You  see I did restart and closed some of the other  

  • 00:11:35 applications and now it is faster. Let's play some  of them. Yeah, it is really great. You can click  

  • 00:11:46 here and download or you can open outputs folder  and you will see they are generated like this,  

  • 00:11:52 12 MP3, 13 MP3 or 14 MP3. This is also supporting  batch processing. For batch processing, you need  

  • 00:11:59 to type prompts here. So let's copy these two and  type here. You can also set an output folder for  

  • 00:12:06 the batch processing of the text to audio. Let's  generate them inside here and let's say 3 and  

  • 00:12:12 start batch processing. It will skip if the line  is empty or lesser than 2 characters. So don't  

  • 00:12:18 worry about that and now it is generating. We  will see the results. Yes, it is completed.  

  • 00:12:24 Let's open the folder inside here. Oh, by the  way, still it is generating number of 3. So  

  • 00:12:30 I am always forgetting that, don't forget that.  I can see that it is generating. You can also  

  • 00:12:35 see the used parameters, the prompt, the negative  prompt, used seed and everything and it is already  

  • 00:12:41 done. It is super fast. This application is just  super fast. Just double click and play. Okay,  

  • 00:12:50 it is working as expected. So what about image to  audio? Image to audio generates audio according to  

  • 00:12:57 the image. Let's upload an image for testing. For  example, this image. Now you don't need to type  

  • 00:13:02 any prompt. Let's first try that way. Submit. The  speed doesn't really change and it is generated.  

  • 00:13:08 Let's play it. Okay, not very relative to the  image. So we need to support it with a prompt,  

  • 00:13:19 but sometimes it works. For example, let's try  another one before I show you. For example,  

  • 00:13:23 let's try this one. Submit. Okay, let's play.  Yes, this one definitely more matching. So how  

  • 00:13:31 you can decide your prompt? Again, you can use  this prompt on here. So let's clear this chat  

  • 00:13:37 and let's upload our image and see what it is  giving to us. Okay, let's try this image. Wait  

  • 00:13:43 for upload to be completed and run. Okay, it gave  us a prompt. So let's try copy it and paste it and  

  • 00:13:52 let's see. Let's play it. Okay, it is decent. You  can always generate multiple and decide which one  

  • 00:14:02 is best. Image to audio is also supporting batch  and the logic is exactly same as in the video  

  • 00:14:09 batch. So let me demonstrate you. Put the images  into a folder and type prompts if you wish like  

  • 00:14:15 try like this one, let's say a dragon. You don't  need to necessarily define and the same logic,  

  • 00:14:22 let's say like this and let's see. Then start  batch processing. It will process all the images  

  • 00:14:28 and generate audio and generate a video. The video  will be static of course. Let's return back to  

  • 00:14:33 the folder and the files are generated like this.  Let's play. As you can see, it is pretty cool. So  

  • 00:14:45 this is how you can do batch processing with image  to audio. What about configuration? Let's say you  

  • 00:14:50 want to change configurations, for example,  the duration for text to audio. For example,  

  • 00:14:56 like this 10. Let's say you want to change image  to audio number of steps like 100. Then you need  

  • 00:15:01 to go to here and set a config like test 1,  save config and now it is selected and it is  

  • 00:15:08 set. So if you want to return back to the default,  select the default and load config and it will be  

  • 00:15:14 default. If you want to get the default again, it  is so easy. Go to the MMaudio, go to the folder  

  • 00:15:21 and you will see that there are configs folder.  Just delete it and restart your application and it  

  • 00:15:25 will regenerate the default configuration. So now  I will show speed comparison between RTX 5090 and  

  • 00:15:33 RTX 3090 Ti. I have both of the GPUs, so let me  demonstrate you the speed comparison. Since when  

  • 00:15:39 recording a video, it takes a lot of GPU power, I  will stop recording and I will make a comparison,  

  • 00:15:46 but before stopping and making that comparison,  let's make a live comparison. So I will copy paste  

  • 00:15:52 this to set GPU IDs. The first one will start  on my first GPU. The second one, I will right  

  • 00:15:58 click and edit in Notepad++. And I will set CUDA  visible devices 1. So it will use my second GPU.  

  • 00:16:05 Let's start it and again the first option. We can  see that it will load the models here. Okay, both  

  • 00:16:11 of the applications started on each of the GPU.  So let's start a comparison. So let's try this  

  • 00:16:17 video on both of them. Upload. Let's get to our  prompt. I will get the prompt from here since it  

  • 00:16:24 is saved. For example, this one. Type the prompt  in both of the audio panel and let's generate 10  

  • 00:16:31 audio to see the speed difference. Okay, 10. Now  we can see both of the applications will start  

  • 00:16:38 generation and we can see the speed comparison.  So currently average of the 5090 Ti is 7 seconds.  

  • 00:16:47 3090 Ti is like 9 seconds. This application is not  able to fully utilize the GPU because it has other  

  • 00:16:54 parts that uses the CPU, but it is really really  fast when we consider the amount of the VRAM it  

  • 00:17:02 uses and the time it takes to generate such audio  with such amount of steps. I am using 50 steps,  

  • 00:17:09 but you can use 25 steps as well. So this is  the live comparison. Now I will close the video  

  • 00:17:15 recording, make a more fair comparison and show  you the results. So I have made the generations  

  • 00:17:21 and calculated the average. The average speed of  the RTX 5090 is 16.5 IT second and the average  

  • 00:17:30 of 3090 Ti is 13.61 IT second. If we calculate  the difference, 16.5 over 13.61, it is around  

  • 00:17:40 20% faster for this application, but in some other  applications we get 300% speed difference. On this  

  • 00:17:48 application, there is not much difference. Now  I will show you how you can use this application  

  • 00:17:53 on cloud services. The using on cloud services  is so easy. First of all, I will show on Massed  

  • 00:18:00 Compute. For Massed Compute, please register an  account with this link. I appreciate that. After  

  • 00:18:06 registration, set your billing, deploy a GPU. You  can use any GPU simply because this application  

  • 00:18:13 is very lightweight, but if RTX A6000 is not  available, use L40. Select our image, select   

  • 00:18:21 SECourses, use our coupon, verify and deploy. Then  you will be able to use. If you don't know how to  

  • 00:18:27 use on Massed Compute, you can follow this video  like 5 to 10 minutes and you will learn. Moreover,  

  • 00:18:33 after you have downloaded the zip file, you will  see there is Massed Compute instructions txt file.  

  • 00:18:39 Always read this file, follow the instructions  here and it will work. It is exactly as same  

  • 00:18:45 principle as following this video. You see, the  link is here. For Runpod, please use this link to  

  • 00:18:52 register. After registration, put go to billing,  set up some balance, then go to pods, click  

  • 00:18:59 deploy, select your machine. You can use simply  any machine. This application is very lightweight.  

  • 00:19:05 If you don't know how to use on Runpod, please  follow this video starting from minute 22. This  

  • 00:19:11 is starting from minute 13 and watch like 5 to  10 minutes and you will understand. Also you  

  • 00:19:16 can always follow the Runpod instructions read txt  file. This has everything that you need to follow.  

  • 00:19:23 Just follow this txt file and you will learn. And  what about Kaggle? Kaggle is also extremely simple  

  • 00:19:29 to use. Go to kaggle.com, register your account  and after registering your account, verify your  

  • 00:19:35 phone number. This is mandatory. Then go to create  new notebook, click file, import notebook, select  

  • 00:19:42 the notebook file we have in our folder, this  one and then follow the instructions. The rest is  

  • 00:19:48 same. If you don't know how to use Kaggle, we also  have a tutorial for that. It is here. Just follow  

  • 00:19:53 from 27 minute 34 second. And there is a good  news, we don't need to use ngrok anymore. It is  

  • 00:20:01 just working with Gradio live share, so it is much  easier than before. Also on the Kaggle notebook,  

  • 00:20:06 you will see a script like this, which allows  you to download all of the generated videos,  

  • 00:20:12 audio files as a zip file. So just follow the  tutorial video and you will learn how to use  

  • 00:20:18 Kaggle as well. I hope you have enjoyed. Please go  to our Patreon exclusive post index. You will see  

  • 00:20:24 that we have over 100 AI applications, amazing  tutorials. Just read here and you will see our  

  • 00:20:31 applications. You will get access to every one of  them. Moreover, please join our Discord channel.  

  • 00:20:38 We have over 10,000 users. Just click this link  to join our Discord channel. Moreover, we have  

  • 00:20:44 Stable Diffusion Generative AI GitHub repository.  Please star it, fork it and watch it. If you also  

  • 00:20:51 sponsor, I appreciate that. We have the list  of our tutorials here starting from very early  

  • 00:20:56 ones to the very latest ones. Moreover, we have  a Reddit. Please click here and go to our Reddit  

  • 00:21:02 subreddit and follow our subreddit. I am sharing  a lot of useful information here. And finally,  

  • 00:21:09 you can follow me on my LinkedIn account.  It's a real account. Go to there, you will  

  • 00:21:13 see everything about me. I am a PhD computer  engineer. So you can follow me on LinkedIn as  

  • 00:21:19 well. I hope you have enjoyed. Hopefully, see  you in another next amazing tutorial video.

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