How to Create Ai Videos of Yourself!

Summary

This tutorial demonstrates how to create realistic AI-generated videos featuring your own likeness. It guides viewers through the process of creating a mini dataset of personal photos with consistent lighting and features, then training a custom AI model using the Replicate platform. After training, the model generates AI photos that can be animated into videos using the Clean AI video generator. Tips for enhancing results, such as upscaling images for sharper details, are also shared. The video compares different AI video generation platforms, highlighting the importance of selecting the right tool for high-quality, consistent results.

Takeaways

• 😀 AI video generation technology has advanced to the point where realistic animations of one's own face can be created.
• 🔍 The process involves using the flux image generator to train a custom AI model using personal photos.
• 📸 It's recommended to gather a mini data set of at least 10 images with consistent lighting, age, hairstyle, and diverse backgrounds.
• 🖼️ The training of the AI model is facilitated through the Replicate platform, which requires a GitHub account.
• 💻 The Replicate platform allows for the customization of various settings, including the trigger word and image description.
• 📈 Increasing the 'lower rank' setting can help the AI learn more fine-grain details from the training data.
• 🎭 The generated AI images can be further enhanced by upscaling the resolution for more detail and sharpness.
• 🎥 The Clean AI video generator is used to animate the upscaled images, with the option to describe the scene and adjust settings for quality.
• 💬 The AI's performance in generating images and videos is heavily influenced by the quality and diversity of the training data set.
• 💰 Using Replicate for AI model training and image generation comes with costs, typically around $2 to $3 for training and a few cents per image for generation.

Q & A

What is the main topic of the video script?

The main topic of the video script is creating AI-generated videos that feature realistic animations of one's own face using recent updates in AI technology.

What is the purpose of creating a mini data set with photos?

The purpose of creating a mini data set with photos is to train a custom AI model to recognize and replicate the individual's face with realistic animations.

Why is it important to have consistent lighting, age, and hairstyle in the photos for the data set?

Consistent lighting, age, and hairstyle in the photos help the AI model to better learn and replicate the specific facial features and characteristics of the individual.

What is the role of the trigger word in the AI model training?

The trigger word is used to train the AI to associate specific prompts with the individual's data set, allowing the AI to generate images resembling the person when the trigger word is used.

Why is it recommended to use a sequence of letters that is not commonly found in the English language as a trigger word?

Using a unique sequence of letters as a trigger word prevents the AI from getting confused with common English words and ensures that the AI can accurately generate images based on the individual's data set.

What platform is used to train the custom AI model in the script?

The platform used to train the custom AI model is Replicate, which requires a GitHub account for signup.

How long does the training process for the AI model typically take?

The training process for the AI model typically takes around 20 minutes.

What is the significance of the 'auto caption prefix' in the AI model training?

The 'auto caption prefix' is a short description that is attached to all photos in the data set, providing the AI with a label to help it understand the context and content of the images.

Why is it suggested to increase the 'lower rank' value during the AI model training?

Increasing the 'lower rank' value allows the AI to learn more fine-grain details from the data set, which can improve the quality and realism of the generated images.

How does the number of inference steps affect the generated images?

The number of inference steps controls the detail and quality of the generated images; more steps can result in cleaner and more detailed images.

What is the purpose of upscaling the generated images before animating them?

Upscaling the generated images provides additional detail and sharpness, which can enhance the quality of the AI videos by making the facial features more realistic.

How does the script suggest improving the quality of AI-generated videos?

The script suggests improving the quality of AI-generated videos by using a consistent data set, selecting the right trigger word, adjusting AI model settings, and using upscaling for higher resolution images.

Outlines

00:00

😀 Creating AI Videos with Your Own Face

This paragraph introduces a tutorial on creating AI-generated videos that feature realistic animations of one's own face. It explains that while AI video generation has been available, it was previously challenging to consistently insert one's own face with realistic animations. However, recent updates have made it possible to create highly realistic AI videos. The tutorial will guide users through using the flux image generator to train a custom AI model for their face and then animate these images with the clean AI video generator. The process is described as straightforward and not requiring complex setup or programs. The first step is to create a mini data set of one's own face using photos with good lighting and consistency in age, hairstyle, and background diversity. At least 10 images are needed, which are then compressed into a zip file for model training. The tutorial continues with instructions on how to train a custom AI model using the replicate platform, requiring a GitHub account and a few simple settings, including a destination for the model, privacy settings, and a trigger word to associate with the user's data set.

05:01

📸 Enhancing AI Video Quality with Image Upscaling and Animation

This paragraph discusses the optional step of upscaling the resolution of AI-generated images to improve the detail and sharpness in the final AI video. The speaker uses 'magnific' to upscale images, adjusting settings to optimize for portraits and maintaining resemblance to the original image. After generating high-resolution reference photos, the speaker animates them using the clean AI video generator. The process involves uploading the photo, describing the scene, and adjusting settings for quality and video length. The paragraph also touches on the challenges of maintaining facial resemblance during head movements in the video and suggests re-generating if deformation occurs. The speaker compares the results from clean AI with those from Runway gen 3, finding clean AI to produce more consistent and natural-looking videos. The paragraph concludes with a recommendation to watch a specific tutorial for further information on achieving high-quality AI videos.

Keywords

💡AI video generation

AI video generation refers to the process of creating videos using artificial intelligence algorithms. In the context of the video, it involves generating videos that feature realistic animations of a person's face. The script discusses how recent updates have made it possible to consistently put one's own face into AI-generated videos, which is central to the video's theme of demonstrating the process of creating personalized AI videos.

💡Flux image generator

The Flux image generator is a tool mentioned in the script for training a custom AI model using one's own face. It is integral to the video's tutorial on creating AI videos that resemble the individual. The script explains how to use this tool to train a model with a dataset of personal photos to generate AI photos that look like the user.

💡Data set

A data set, in this video, refers to a collection of photos used to train the AI model to recognize and replicate the individual's face. The script emphasizes the importance of creating a mini data set with consistent lighting, age, and hairstyle for effective training. It is a critical component in the process of generating AI videos that look like the person.

💡Replicate platform

The Replicate platform is mentioned as the service used to train a custom AI model. The script provides a step-by-step guide on how to sign up, search for the necessary tools, and upload the data set for training. It is a key resource in the video's demonstration of creating AI videos, as it facilitates the customization of AI models for individual faces.

💡Trigger word

A trigger word is a unique sequence of letters or a term that the AI is trained to associate with the individual's data set. In the script, the trigger word 'top' is used to instruct the AI to generate images based on the user's trained model. It is a crucial element in the video's explanation of how to generate AI photos that resemble the user.

💡Auto caption prefix

The auto caption prefix is a short description entered during the AI model training process. As described in the script, it helps the AI to label and categorize the generated images appropriately. In the video's context, it is used to ensure that the AI has a clear understanding of what each image represents, which is essential for accurate AI video generation.

💡Aspect ratio

Aspect ratio refers to the proportional relationship between the width and the height of an image or video. In the script, the aspect ratio is changed to 16:9 for a widescreen, landscape image, which is mentioned to improve the appearance of the AI-generated videos. It is an important consideration in the video's discussion of optimizing AI video output.

💡Upscaling

Upscaling is the process of increasing the resolution of an image to enhance its detail and sharpness. The script describes an optional step of upscaling the generated AI images using a tool like Magnific to improve the quality of the final AI videos. It is a technique highlighted in the video to achieve higher fidelity in AI video generation.

💡Cing AI video generator

The Cing AI video generator is a tool used in the script to animate the upscaled AI images. It is part of the video's narrative on creating AI videos that look like the individual, as it allows for the transformation of still images into animated sequences. The script provides instructions on how to use this tool to generate high-quality AI videos.

💡Runway gen 3

Runway gen 3 is an alternative tool mentioned in the script for animating AI images. The video compares its performance with Cing AI, suggesting that while it is a viable option, the results may not be as consistently high quality. It is presented as a point of comparison to emphasize the effectiveness of the methods and tools discussed in the video.

Highlights

AI video generation now allows for realistic animations with your own face.

Tutorial teaches using flux image generator to create a custom AI model for your face.

Clean AI video generator is praised for producing high-quality AI videos.

Creating a mini data set with consistent lighting and hairstyle is essential for training the AI.

At least 10 images are needed for the data set to train the AI model.

Replicate platform is used for training a custom Laura model.

A GitHub account is required to sign up on the Replicate platform.

Trigger word is used to train the AI to associate with the user's data set.

Auto caption prefix helps AI label the data set images with a description.

Increasing the rank value can teach the AI more fine-grain details.

Training the AI model on Replicate takes around 20 minutes.

Generated images are influenced by the diversity and quality of the training data set.

Replicate charges around $2 to $3 for training the model and a few cents per image for generation.

Upscaling images with Magnific can enhance detail and sharpness in AI videos.

Clean AI video generator's image to video interface is used for animating the photos.

Professional mode in Clean AI video generator provides the highest video quality.

Head movement in videos can cause the face to deform or lose resemblance.

Clean AI outperforms Runway gen 3 in preserving face shape and consistency.

Tutorial on achieving high-quality videos with Clean AI is available.

Transcripts

I'm showing you how to create AI videos

of yourself that actually look like you

AI video generation has been out for a

while but there really hasn't been any

way to consistently put your own faces

into them with realistic animations but

with recent updates you can now create

AI videos that look exactly like

yourself and it's super easy to do in

this tutorial we'll learn how to use the

flux image generator to train a custom

AI model specifically for your own face

and generate AI photos of yourself then

we'll animate those photos with the

clean AI video generator which in my

opinion generates the best AI videos

right now don't worry this whole process

is a lot easier than it sounds and it

doesn't require any complicated setup or

programs the first thing you'll need to

do is create a mini data set for

yourself this can be just photos you've

got I'd recommend trying to find images

that have decent Lighting on the face

and try to make sure they're consistent

in terms of the age and hairstyle don't

take some photos of When You're 15 and

then also a bunch of photos phot of you

20 years later I'd also suggest you

include some diversity in the

backgrounds you'll need at least 10

images I'm using 12 photos of myself

let's select all these photos and

compress it into a zip file which we'll

use to train the model with the data set

collected let's go and see how we can

train the custom AI model we'll be using

the replicate platform to train a custom

Laura model to sign up you'll first need

a GitHub account this is free to create

and you just need an email for this once

that's done go back to replicate decom

and sign up for an account once inside

you'll see the main dashboard go to the

search bar and search for ostr we need

to find this ostras flux Dev lur trainer

to train a custom image model for

ourselves select this and we'll just

need to enter a few simple settings here

first pick a destination this is just

the photo where your custom model is

stored I'll go with tow portrait I also

set it as a private model then upload

the mini data set we just collected this

needs to be in a zip file remember

you'll need to have at least 10 images

the next thing you need is a trigger

word we'll train the AI to learn to

associate the trigger word with your

mini data set of yourself so that it can

be used inside of the prompts to

generate a photo of you you want to use

a sequence of letters that's not

commonly found in the English language

otherwise the AI can get confused so

I'll use t o p t short for tile prompts

make sure to remember this trigger keyw

then inside the autoc caption prefix we

can enter a short description we want to

be attached to all of our photos I'll

use photo of an Asian man which roughly

describes myself this is just to make

sure that the AI at least has a decent

label for our data set images the only

other thing I'll change is lower Rank

and increase it from 16 to 32 using a

higher value here can teach the AI more

fine grain details it's very common to

use a lower rank of 64 or even 128 we

won't change anything El now let's

create the training you can track the

progress inside the little box here the

entire process takes around 20 minutes

for me once that's done you'll be able

to run the train model or just go to

your dashboard and scroll all the way

down to recent trainings from there

you'll be able to find the IDS of all

your train

models you can click on one to find the

link to run the custom model it's pretty

simple to generate images inside the

prompt just make sure to reference the

special trigger word we used earlier so

in my prompt description I added in the

token t o PRT next to asiia man so the

AI knows to reference the training data

I used earlier and I also added in some

other details I want to be included like

aliens and blue and purple colors I also

changed the aspect ratio to a widescreen

16 to9 for a landscape image I think

that'll look a bit better for the video

next you can change the number of images

the model generates let's bump this up

to three the lower scale controls how

strongly the custom model is applied I

found it works fine if you leave it at

one then the number of inference steps

controls the detail and quality of the

generated images the default for the

flux Dev model is 28 steps but I want to

make sure the details are as clean as

possible so let's increase this a bit

I'll also change the output format to

PNG and leave the other settings the

same now we can go ahead and generate

images using the model the image

generation happens pretty fast it only

takes a minute maybe and we got some

pretty good results some of these look

super similar to me here's an important

tip the images that you're able to

generate using your custom model are

heavily heavily influenced by your data

set if you want a specific camera angle

for where your face is looking or a

specific hairstyle make sure to include

photos of that inside the training data

set at the start now using replicate

isn't free training the model costs

around $2 to $3 depending on the

settings you use and then generating the

images also cost a few cents per image

if you don't want to go through the

process of setting this up locally or if

you just don't have the hardware to run

these AI models I think it's pretty

convenient to run this on replicate I

went ahead and generated a bunch of

different images of myself sometimes it

does take a few tries to get a good

image not all of them will look exactly

like you but overall I'd say the

performance of the model is very

good you could directly use these images

to generate a video but I'm going to

take an optional extra step and UPC the

resolution of these images which is

going to give us a little bit of extra

detail and sharpness in the AI video you

can skip this step though it's not

essential to do the upscaling I'll use

magnific first I'll upload the photo of

myself then I'll change the optimized

setting to portraits soft since these

have my faces in them I also turn the

resemblance up to 10 I find that

magnific can sometimes make slight

adjustments to your visual appearance so

I want to keep them as similar as

possible to the original image after

that just upscale the images the extra

level of detail we get from these high

resolution images can make a big

difference in how the AI videos look so

I finished generating all the reference

photos of myself now let's go ahead and

animate them using the cing AI video

generator I've logged into cing let's go

to the AI video Generations tab we'll be

using the image to video interface for

this first let's upload the photo of

ourself if you've upscaled them make

sure to use the upscaled versions inside

the prompt roughly describe what should

be happening in the scene I'll keep it

simple with just a man and an alien are

talking then in the settings I like to

use professional mode to get the highest

quality and generate 5-second videos you

can't generate longer videos if you want

but longer videos are more likely to

deform I'll definitely be playing around

with this a lot more it's really really

amazing Tech you will notice that the

more head movement is in the video the

more the face may change change its

shape or lose resemblance to you so if

you have a video where the head's

turning to the side and the face deforms

a bit try generating it again you can

use this entire process to generate

videos of anybody as long as you can

create a small data set of photos for

them I also attempted to animate some of

these in Runway gen 3 as a comparison

I'd say that clean did a better job of

preserving the shape of my face overall

the videos just look more consistent the

Motions also seem a bit more natural

like this video me walking forwards

here's a couple more Clips I'm animated

in Runway it is a good alternative to

cling I just find that the results

aren't as consistently high

quality if you want to learn more about

how to get the highest quality videos

using cing ai go and check out this

tutorial I made over here

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