How to Create Ai Videos of Yourself!
Summary
TLDRThis 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
😀 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.
📸 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.
Mindmap
Keywords
💡AI video generation
💡Flux image generator
💡Data set
💡Replicate platform
💡Trigger word
💡Auto caption prefix
💡Aspect ratio
💡Upscaling
💡Cing AI video generator
💡Runway gen 3
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
[Music]
Weitere ähnliche Videos ansehen
How To Create Trending MONETIZABLE 3D AI Animation Video with LUMA AI DREAM MACHINE - Full Course
2024最新AI绘图教程,如何使用Leonardo ai创建人物一致性角色,AI 3D卡通人物生成,超详细教学,新手轻松掌握,ai制作卡通动画图片,怎么把图片转换视频
מדריך מלא: איך לאמן מודל FLUX עם הפנים שלכם באתר ASTRIA + קבלו 10$ לחשבון שלכם מתנה!
Newest AI Video generator | Text To Video AI | Image To Video AI | Vidu AI Tutorial |
How To Create Your Own AI Clone for Videos (No More Shooting)
How to Make Stickers to Sell with AI Artificial Intelligence Midjourney App and Photoshop
5.0 / 5 (0 votes)