So in this material of the course, we'll be creating an automation that will allow us to generate highly
professional videos with Klink 2.1.
And the entire process looks like this.
Firstly, we create the prompts with our agents.
So the prompt for um, yeah, for our image and for our video.
Then we've got a step to actually create our image, because actually we take the image and we turn
it into the video, which is in the next step.
So here we've got image to video.
We are using Klink 2.1.
We prepare the content and optionally in this automation we publish that on our social media.
So TikTok YouTube shorts, Facebook or even LinkedIn.
And for the day of recording this video, Google's view free model is going crazy over the internet
because the videos are pretty realistic.
They are pretty high quality and general.
Yeah, we can generate the content.
However, the only problem is it costs $6 to generate this type of video that lasts eight seconds.
And actually with the clink 2.1, we can significantly lower this cost.
So for an example, create a video that is 20 times lower in costs.
So I can say this is a huge advantage.
Also, we can pay attention that the quality of these videos provided by clink are really high quality.
That's why in this material, you will learn how to build this entire automation step by step that produces
for you these videos.
And yeah, it will be so, so powerful.
Therefore stay to the end of this material because also I've got for you prepared the instructions um
JSON file.
So you can just download it and the resources of this material.
And again it's so powerful.
And to know what is happening inside because remember these technologies are appearing every day.
And when you know how to handle these cases.
So for example, how to use the API of the new application and build with that the entire automation.
You can make a lot of money.
You can be really successful with that automation.
And even I can say one project can make you actually a lot of views, millions of views and a lot of
traffic.
Or even if you are setting your agency or you have any product, it may help you a lot, but again,
you need to practice.
That's why we are covering this.
You know, like when we have some trends on the internet, we are covering them.
And because actually the traffic on the internet is pretty high due to the opportunity for growth.
And however also we cover it to know how to operate these specific things and these circumstances.
So with all that being said, let's dive in and let's build this project from start to finish.
So I know it may be a quite long video.
However, again, I want to explain you everything step by step.
So grab your coffee, tea or just any beverage.
And now let's dive in and let's create our workflow.
And we start with the trigger, which is actually I can say it's for your choice.
It's for your taste.
because in general you can pick on a schedule as I did.
So I like to actually run my automation without me doing that, without me remembering about it.
So I like to pick on a schedule.
However, for that you can pick trigger manually or even on a form.
So just create a video whenever you want, okay.
For me, I would like to schedule that.
So yeah we've got at midnight it triggers at midnight.
Um, yeah.
Every day you can just specify the time interval.
So days.
So for example I don't know maybe two days.
So every every second day.
And the choice is yours.
Right away we go ahead and we provide our agent, um, and we'll be using two agents.
The first one will be to generate for us a prompt for an image.
And the second one will be to generate for us the prompt for the video and the title for the content.
Okay.
Um, so let's pick our agent and we just click define below and in general in the resources of this
material.
As I said, you've got the entire instructions as usual.
So here, just look.
How pretty long are these.
These instructions are so we have a lot of different steps.
Um, so yeah, I put everything for you.
Um, hope you appreciate it.
Um, but for the first agent, we've got the prompt and system message.
So the prompt is simple.
Create a prompt for a biblical scene.
And why did I pick this specific case?
Because lately, over the internet, on TikTok, YouTube and other social media, they are very popular.
Like this.
Specific vlogs of, you know, like ancient people and that are speaking to the camera and they get
millions and millions of views, uh, thousands.
And yeah, it's pretty effective for now.
So, you know, also, I need to mention you can just customize this specific case so you can customize
these instructions with ChatGPT say, all right I want to have the videos for something else, maybe
for football healthcare.
Um your your your it's your choice.
Okay.
so this is the point, but we've got a prompt to create a prompt for a biblical scene.
We can just copy and paste it for simplicity.
Um, so yeah, in general we could have created like the system message in the video.
Uh, we could have created the prompt in the video, but I think, like, it would be boring.
Okay.
It would be boring.
Um, so that's why in all of the materials I'm providing for you, ready to use templates I've created
previously, I spend a lot of time, however, still, um, you know, if you want, you can create
these instructions from scratch.
Um, you can do this or even copy from this document.
And what we have inside, we've got the purpose.
So you transform a short form video idea inspired by biblical character or scene, TikTok vlog style,
and a rich, highly descriptive image prompt for an image generation tool.
Your goal is to keep the viral, relatable, and emotional vibe, but produce a single, still image
that captures the mood, Story and setting.
Think tool prompts.
So I'm using the think tool for that.
Um, it's kind of optional.
So if you wish you can just delete it and don't use the think tool.
However, what it will do actually it will refine its response.
So a model.
So it's kind of the safety net or even, you know, if you want to get better results just even slightly,
you can use the think tool for this case.
I will be using it.
And we've got the output requirements.
So return only the complete detailed image prompt.
No extra text.
So we just define we want to have one field.
Also there below will have like different specific information about it.
But for now what we have each image prompt must include scene description.
So clear setting with terrain buildings light and key details.
Character focus.
Who is in the scene?
Pose.
Expression.
Outfit.
It's pretty important.
Um, in terms also for actually taking this image later and putting that, actually transforming that
into the video.
So we need to have some specific, you know, like environment like character that is doing something.
So later we can, you know, just animate it.
Atmosphere and texture, light conditions, dust, wind, fabric, movement, shadows, imperfections.
The texture and atmosphere is great for the video case.
Let's say we've got a dust in the air and then it animates this dust.
So it flows like, you know, it moves.
Um, yeah, it would be perfect visual style.
So we've got our four elements.
Example output.
Um, it's cool.
I've said it many times in this course like to provide example output for your system message.
That's why um, that's how you exactly define you.
Exactly show a agent.
Okay.
This is the case.
I want to get, like, this entire, um, you know, this entire form, this, um, specific format,
um, in some shape or form.
And at the end, we've got the formatting rules to make sure the output works inside JSON.
Follow these simple rules.
Don't use emojis in the text, only provide text that is in JSON format, not provide quotation marks
inside description.
That's really everything.
You can store the video.
Analyze this system message if you wish.
You can create your own or just modify that with ChatGPT.
It's your choice.
Um, but for now, I will skip that and I will even rename it.
So create image a agent.
Um, and for that case, for that case, I can, um.
Yeah, of course, pick the model.
I always forget about it so I can pick the model.
Um, GPT four or mini for that case specific.
Um, let me pick.
Okay.
Um, what do we do?
Also, we require specific output format.
So inside the output parser, um, we provide structured output parser and we define, um, the image
prompt.
So what we do we type image prompt.
Perfect.
And then uh, we've got our colon and our quotation marks.
We need to leave it.
Um, so.
It should work.
Um, and at the end we want to get our think tool.
So do we have the think tool?
Of course.
So our model has three, uh, different extensions.
Um, so our LM think tool and structured.
Output parser.
Um, it should work without adapt.
Let's wait.
So we should get our image prompt.
Variable as we defined.
So let's preview what we have.
Image prompt.
This is our variable at the edge of a rocky cliff.
A lonely figure resembling a biblical prophet stands looking out over a vast desert landscape.
The sun is setting, casting a warm golden glow across the sky.
Nice.
Let me see if we if we don't have any, uh, problems.
So for an example, sometimes, like agent likes to provide, I don't know, maybe the breaks, like,
you know, we've got slash n so it likes to do this stuff.
Um, however, for this case, it's pretty cool.
Um.
All right, let's move on.
And for, um, for the further a agent to.
Don't waste a lot of time.
Let's just pick this agent and click Ctrl d.
You just duplicate it, right?
Like this.
Um, it's pretty simple.
And let's just name it as create video.
Video AI agent.
Um, let's move on.
Okay.
Let's remove the one number and let's move on.
Um, go ahead to our documentation, see what we have.
So as you can see, we've got the structured output parser that we provided.
Um, graphic idea a agent?
No, it's Vario, agent Vario.
A agent.
Uh, video.
Create video a agent.
Perfect.
And create a short cinematic video prompt based on the following biblical image prompt.
And then we just provide the JSON output.
So image prompt.
So our variable that we defined in the structure in the output in the structured output parser I'm sorry.
So specific case um let's provide it.
And then um we need to choose expression.
So you see it's highlighted on um green color.
That's why.
And that indicates um it works.
So you can see like we just fed this agent like the prompt with this data.
So we've got our prompt from previous agent for this message.
Um, let's move on I will copy and I will explain.
Um, so the structure is pretty similar.
We've got the think tool, but for this case this is optional.
As I said you can just use it.
I provided it here so you can just use it.
But for this case I will delete it.
So for the first only the image I will use the thing tool.
And but for the purpose you've got, you transform a detailed biblical image prompt into a cinematic
video prompt and simple title design for short form video tools.
Your goal is to expand the static image into a living scene by describing motion, atmospheric pacing,
camerawork, and subtle story dynamics while keeping the same mood and style.
So overall in this video, in this animation, we'll be taking the image and will be and will be animating
that into the video.
So in general, we take the image, we turn it into the video, and you can ask why?
Because when we go ahead to the application that we'll be using later.
So we've got click 2.1 master.
We'll be using this model.
And the standard version is only for image to video.
The cost for it will be $0.25 per five per five seconds, which is pretty low.
Actually, you know, you can actually you can add, um, you know, additional seconds for that.
Um, but again, for this model, uh, we can't actually use text to video.
If you would like to use text to video, um, you pay $1.40 for five seconds.
It's quite expensive.
So great case is to, you know, like create firstly the image, which is pretty affordable.
And then from this image just create a video.
Also we've got the other model 2.1 master.
And again you can just turn the image to the video.
And with this exact automation and that that will be creating in this material, um, you can simply
very simply switch between the models.
So standard and master I will show you how to do this in this material I will create two different videos
so you will see the difference.
But um, let's move on and let's go back to our system message.
Um, we've got the input.
Um, so the next um, category inside the system message.
Um, so you receive one field image prompt output requirements.
So the form is pretty similar to the previous agent.
So again we've got specific fields for the purpose output requirements example output formatting rules.
However um it differ.
Um, I can say a lot because previously we created the system message for the image model image agent.
Um image prompt agent I'm sorry, let's be precise, but for that we are um, creating the prompt for
video.
So output requirements we've got very shortly, um, seed expansion, character focus, camera movement,
light atmosphere, visual style.
So it's much different than previous system message.
Example output.
Simple prompt.
We would like to get something.
Something very simple.
Um.
Okay.
Title.
Um, so this is, this is the point with this, um, video prompt.
Agent.
We don't want to create only the prompt for the video.
Also, we want to create a title because we will be using this title and publishing our posts on social
media.
Okay.
Um, this is optional step.
I need to say you can just end the automation after, um, after some specific steps after we create
the video.
But still in this material, I will be showing you how you can connect your notes, um, to social media.
So publish the content again on TikTok, YouTube, Facebook, or any platform you want.
Um, for the formatting rules.
Again, we've got some data, so don't use for an example slash n just provide plain text.
Uh, that's pretty everything for the required specific output parser.
Yeah, we've got output parser.
But there we need to change some stuff.
So firstly we've got the video prompt.
Um and then we can just copy it paste here.
And what we have we've got a title title also in the document.
Um, you've got it like you've got structured output parser.
You can copy it and paste.
It's your choice.
Also.
Now I need to say I forgot about the comma.
All right.
For the thing tool we remove it, we leave the OpenAI chat model.
Perfect.
Um, let's run it.
Hopefully we get what we want.
So we should get again.
Um, video prompt and our title.
Perfect.
Um, okay.
Video prompt every time please check the form.
Because if we had for an example like slash n, so for the breaks in the text we would need to um,
like let's say you've created, like, the entire automation, and then you run this automation and
something happens, like you've got an error and you see in the video prompt and then you can say,
it happens a lot.
You've got some defects that are not completely compatible.
Yeah.
This is the word compatible with um JSON.
So let's say slash n.
And so that's why it's great to create, you know like perfect instructions I've done it for you.
So we've got this plain text that we can use later.
Perfect.
Um, so we have our two agents that are the main actually brain for our automation.
They do everything for us.
However, now what do we do?
We pick Google Sheets and let me show you something.
We append the row and sheet.
Perfect.
We choose the document I prepared for you, the document.
You can just copy and paste.
Um, copy.
Yeah.
Just copy to your to your workspace and copy and paste.
Um, so yeah, click plus and then videos.
Let me open it.
I can open it here.
And what we have inside and you can see I created some video right here.
However I will delete it for now for the purpose of this material.
Uh, so what we have title, image, prompt, video prompt, image URL, video URL and status.
In the status we have two statuses to do and done.
So in this exact step we only uh, change the status to to do.
So we indicate okay, we want to just mark it as um, as in progress to do.
And we can even rename it as such status.
Execute this step.
And right there, uh, we'll have our status to do.
Perfect.
Um, also from this document, you can just open this link and then you've got this document.
You can click on file, make a copy and have it in your own workspace.
Perfect.
All right.
So for now, maybe let me take my sticky notes to show you what we do step by step.
Okay.
So perfect.
Let's put it very simply, very shortly.
So we've got actually these fields.
Um, also remember, I encourage you to organize your automations in nice form.
If you have mess, it doesn't look like, you know, captivating.
Um, and if you have everything clear, uh, with, um.
Yeah.
Done with with your sticky notes, it's better.
So, um, what do we have inside?
Um, the first one, the first part is to create the prompts.
So we already done it.
The second part is to create a match.
The third part is to turn this image into the video.
Then we prepare the content, and at the end we publish on social media.
So let's move on.
Let's create our image.
We are using HTTP request method obviously is post because we want to connect to the application.
Um so yeah firstly we connect to the application and then we want to get so we get the content from
the application.
Um so yeah firstly we choose the method which is post.
The URL for that case is um this URL.
And let me explain.
Um, so we are using application which is full AI that allows us to connect to different models.
So when I go ahead to fly, when I go ahead to home, I've got my models such as, you know, here,
um, I've got the clink video 2.1 Flex View Free.
So this is an application that allows you to do this stuff.
Um, you need to provide some credits.
So, you know, like the cost of the video is $0.25 that will be generating in this material.
I'm going to provide here credits.
And then you can just use a specific model.
Um, so yeah, we are just using it for the authentication.
We are using generate general generic credential type.
And for that header authentication and I've got I'm actually that's connected so full I vo3.
Um so let me show you how you do this.
Um, simply maybe let me create new credential I create a new credential I type here authorization authorization,
exactly this specific name.
Um, otherwise if you provide something else, it doesn't work, uh, in mind.
And then you go ahead to full API keys, add key, you name it as link automation.
Okay.
You create a video, you copy the key, and then you just simply paste it here, it's pretty straightforward.
You save it, it's nice.
Okay, let's even save us.
Rename it.
So, um, full I.
So you do it by this way.
Okay, let's click save then.
What you do, you send the body and let's go ahead to our documentation.
Because in the body you provide one specific variable.
Um, actually not variable however parameter.
Um so here the name is prompt and the value is this value.
So let me pick the value.
And then what we do uh, we provide a name which is prompt and a value which is this one.
So now you can see I've got the problem because here the name of the of the agent from the document
is different.
So image prompt a agent over here we've got create image a agent.
So now maybe let me simply change the name of this agent for further simplicity.
Um, let's go ahead here.
Click rename.
Okay.
And now it should.
It should work.
Perfect.
We can name it as Create Image.
And now let's execute this step.
Right now I've got some problems.
So authorization failed.
And I know what's happening.
Actually I forgot to add very important word inside our value.
So firstly let's copy my API key again.
And now firstly type the key.
Okay.
And then paste your API key.
Now it should work.
Let's save it.
Let's execute this step.
So yeah it works.
We've got the status which is in queue.
Uh request id response url, status url url, URL.
So yeah, every information after we do this, after we create an image, we need to create the weight
node that will last approximately one minute.
Let's update it.
It will last 60s.
So one minute.
We can rename it as weight one minute.
And why?
Because we want to wait.
We need to wait until the image is generated.
Okay.
We wait for that.
Let's execute the step for now.
And now you can see when we go ahead to fall I let.
Let's pick the home.
Now you should see like we've got the Flex Pro.
Last request one minute ago.
Okay.
So we simply click on it and then on the requests and you should see your creation.
So the image was created within five seconds.
And what we have.
So let's see perfect image.
But of course remember sometimes you even want to provide like bigger amount of the time.
And from the fact that yeah you don't want to crash, you don't want to get your automation crashed
in some specific circumstances.
So let's say mostly the images are being created in 10s, but sometimes the image may take up 30s.
And then if you have the entire system set up, um, it may cause some specific problems.
Let's say you're a publishing TikTok videos every day, and for some specific case, um, the image
was generated for 30s and then like the entire automation crashes and you've got the problem because
you don't have the TikTok video.
So for the case to be calm, don't worry about our automation may crash.
We just provide higher amount of the time.
Okay.
Um, I recommend you to do this.
This is the great approach.
Um, the other thing you can actually, you know, provide the if note, like if the video is not generated,
you can come back to this step.
But for now we will just leave it.
We just provide bigger amount of the time.
Okay.
But um we've got our two steps and create image part.
The next thing is to provide the same HTTP request.
However we want to get the image.
Um, so as I said previously, um, we are using post to just connect to the application to just say
hi.
I want to create the video for this image.
Hi.
I want to create the image.
Um, so you just provide a method which is post.
And with this specific HTTP request you say, all right, give me this image.
Give me this image right now.
Um pretty funny um, comparison.
But hope you you you appreciate my how to say that my acting skills.
Okay, stop.
Stop joking.
A method and we've got get URL.
Um, let's move on to our file.
Um, so here we've got the method.
Obviously we've got the method which is get y post the URL is this URL.
Let me show you.
So what we do?
We take the response URL from weight node.
Uh, let's delete it.
Let me show you how I drag and drop it here.
Uh, so we've got response URL.
We've got the authentication which is generic type.
We've got header authentication.
Um where do we have our full I, we've got it.
We execute the step and and it's perfect.
We've got the URL and the schema.
You can see this is the URL.
When you copy it you go ahead to the new page.
You paste it click enter.
You should have your image.
That's pretty cool.
Um so we can just rename it as get image.
Get image.
Okay.
The next step, what we want to do, we want to turn this image into the video.
So for now what I can do um, let's pick this node.
Um control Ctrl V, or you just click Ctrl D to duplicate.
And now you create the video.
Just let's rename it Create Video.
And again we are using the method which is post.
The URL will be different obviously.
So inside uh where do we have it.
Create video.
And let me explain you in our automation inside.
And then let's pick expression.
And what we do we say we want to connect with folder I.
And here we just specify the model.
So click video and 2.1.
And there is the point.
You've got two options.
The first option is to use standard model.
And the second option is to use master model.
Um let's move on here to click uh let's go over here.
Um I will show you.
So we've got click video and there okay we've got the standard model which costs $0.05 per second,
or even we've got the model which is master.
And it's much more expensive because the cost for now is $1.40 for five seconds.
Video.
And every second costs $0.28.
All right.
For the purpose of this material, I will choose.
Um, firstly, maybe let me choose.
Okay.
The master model.
So we've got the master image two video.
Um, then what we do and we've got generic type header authentication.
Vol.I.
We send the body for the body, we specify the prompt.
And now we need to wire this, this thing.
Nice.
Uh, for the prompt we are not using the prompt from image prompt agent.
However the prompt from our video prompt agent.
Uh, let me even change the name.
Video prompts.
Video prompt.
Agent.
O.
Video prompt.
Agent.
Perfect.
Nice.
So what?
I said we are using this specific prompt.
Obviously we are creating the video not image.
So video prompt.
And in the second parameter we have the second parameter.
Uh we can go over to the documentation.
We provide the image URL.
Okay.
So we provide the image URL.
We've got image URL.
And then we just take the image.
Where do we have that.
Uh we just take the image URL from get image.
Okay.
So this is this image URL.
Perfect.
Let's execute this step.
Then you see again that your status is in the queue.
You've got request ID request and response URL and so on.
And for this case again we want to provide a wait node.
So we want to wait now for two minutes.
So here 100 and 20s.
Um so yeah, let's just, um, wait for two minutes.
We just want to execute this step.
Perfect.
So let's execute it.
Ah.
All right.
So we are waiting.
And for, um, let me actually show you how it looks like.
So inside the clink image clink video, we've got in the requests, uh, we've got in progress.
So we are just waiting until it's, it's being generated.
Okay.
So for this case, you know, we've got 2.1 master not standard.
When I go ahead to standard, I've got here other videos that I generated in the past.
So it took for an example 70s here 65.
But again, we've got the safety net of one minute, so we need to actually wait.
Even we can notice that the video took longer.
So we've got 200 seconds.
So for now, uh, we can change this time.
Let's say 200 and 40s.
So wait for four minutes.
All right.
And that depends from the model obviously.
Like if you are using standard model, it takes approximately 60s.
But for that case, um, just more perfect.
Um, and again we want to get this video.
So let's copy this note paste here.
We want to get this video.
So get video.
All right.
And again what we do from this wait for four minutes.
Note we take the response URL.
So this one that's perfect.
Already we have it and it's pretty everything we execute the step.
So now we need to wait for four minutes.
So remember actually if you create some automations and you want to change time for, for example temporary,
you can set up let's say 10s.
So we can continue with further steps.
And then you can see we've got our part for create image create image to video.
Um, and then actually I see I accidentally provided different URL.
Um, this is actually the note will be using later so I can duplicate it.
Um, and the prepare content.
So let's actually connect it.
However, for this specific note we are using um, actually let me show you.
We are using this um, specific URL.
So let me explain what it does.
Um, I can just copy it paste it here.
So we've got the expression and there we connect with I uh, we connect our requests because if we go
here, we've got our requests.
So this is the stop.
So we indicate all right from here we want to take the video and then we provide inside here JSON request
ID.
So this is the request ID.
This is this one okay.
And we provide this request ID here and the status.
So let's run it again so we can execute the step.
And as you can see here we've got our video taken.
The status is completed perfect.
And right away we get only the video URL.
So the response URL so we can execute the step.
And that's cool.
We've got this URL.
The next thing what we want to do we want to connect our Google Sheets.
So we want to append row in sheet.
Then take our link and then videos and just fulfill all of the brackets.
So the first one is the title.
We pick it from Video Prompt Agent.
So we have the title.
Then we've got image prompts.
So we have our image prompt video prompt.
So we should have here our output.
What's wrong.
Actually do we have here our.
Yeah we've got our video prompt okay.
So let's just provide it here.
Um video prompt a agent.
All right.
Video prompt agent image URL for the URL.
We pick this one from get image http request https video URL for the video URL we pick um this specific
case okay.
So get video.
And for the status we mark it as done.
Done.
Execute.
Step.
Let's see what we have.
Okay.
So yeah it's title I'm done.
Image prompt video prompt image url video URL.
And that was done.
That's cool.
Okay.
And there is the last part for this entire automation, which is publish the content on social media.
And in one video of this course, which is called Create Viral Social Media Posts with perplexity agent,
I showed exactly how to connect your automation with Ido and then publish your content on multiple social
media such as LinkedIn, TikTok, YouTube, Instagram, Facebook and so on.
So for this case, I will run through everything very quickly.
So yeah, you can just go ahead to this video, to that specific video about perplexity agent and see
how everything is done.
However, we are using um, our HTTP request to connect to Ido, which is actually a platform that allows
us to just connect, um, our multiple profiles from different social media and then just publish the
content.
Very straightforward.
So if I go ahead to my file, I pick the URL.
I provide the generic credential type header authentication.
So let's let's do this very quickly.
Generic credential type header authentication.
We've got the data.
And here you can see we've got an API key.
You can provide your API key right here.
So that's why you connect to the data.
You've got that explained in the other video you click on Send Body.
So as you can see here um you're using um specific fields and this um specific value.
So get video URL.
So we just provide the URL for your video.
All right.
So just upload the content.
You upload this specific video to potato.
So upload to oops.
What do we have.
Upload to potato upload to potato.
Perfect.
Um and the name you provide the URL.
And here just this specific variable.
Um, as you can notice right there, it doesn't work because the name of this of this specific HTTP
request is Get video one.
So if I change it, it works.
But for the simplicity let me change, um, the name of it get video url url.
Let's rename it upload to potato.
Um, perfect.
Um, we can execute the step.
Even, uh, we can provide a post method which is the proper one for this case.
So we need to wait.
And now the content is uploaded to potato.
Um, so from this platform we can connect our credentials to other platforms.
Um, when I go ahead to potato here, you've got free trial.
So.
Yeah.
Um, the link will be in the resources of this material.
You can click on it to open the potato.
Um, but you've got your free trial and here you can log in with your different accounts.
So let's say Facebook Instagram, YouTube and so on.
Um, right there in the settings, you can copy your, your API key.
Um, however, um, yeah, we upload the content inside and then we provide another HTTP request.
So we publish the content straight forward to other platforms.
The first one will be the TikTok.
So publish on TikTok.
Again I will set up everything very quickly.
You've got explained how to do this like step by step, how to publish the content on social media and
other video, which is perplexity, a viral social media posts uh.
However, for this case we are using the URL which is um, this one.
So back end, you just simply go over here.
Uh, method is post authentication.
You connect to uh, it's pretty straightforward.
So next what you do, uh, you just provide the JSON code so you can copy from our document.
So send body JSON and inside this document what you have.
Um, you've got all of the metrics for TikTok and then you've got a content.
So the text platform, media URLs.
Um, here for the media URLs I provided, um, the specific URL.
So, um, yeah.
So it's important to take the URL from um, so just take this variable provided here for the text.
Um, we are using the title that we actually created with our video prompt, a agent.
So let's pick the title here.
We can provide a title perfect.
And then also account ID.
You can copy your account ID by going to potato um connecting to TikTok.
And then you copy your account ID um you paste it here.
By this way, when you click on execute, you publish the content on TikTok.
And again, the same thing we can do for Facebook, LinkedIn, Pinterest, and other different platforms.
For now, I won't talk about it.
You can do it on your own.
Also, I've got the instructions inside this file.
How to set it up step by step.
And for now I can say thank you for watching.
By this way, we created the video and the last thing I want to do is to show you this video.
It's pretty important, isn't it?
I almost forgot about it.
I'm sorry.
So when you go ahead to get video URL, we take this URL or either you can open the full IE.
We can preview what we have.
So this is the video I created.
So let's take a look.
Wow it's pretty nice.
So we've got yeah like the quality um the FPS the motion is so at the point um but also remember like
the action varies from the prompt from different runs of the model.
So for example, let me show you, uh, lately I've created another video.
So this is with the standard image to video.
But it's about the woman.
So here I look on this video.
It's with the standard version over here.
Like she's cleaning the.
Yeah, um.
The clothes.
So it's pretty cool.
You can just specify remember with this automation you can specify different actions.
And again I need to mention that, um, Klink 2.1 master is perfect.
Even the standard version.
So it can produce this type of, you know, videos that are so, so perfect.
And I need to say like this automation, you create it once and then you have it for a long time.
I hope you enjoyed it.
It was helpful for you.
Thank you for watching this material.
It was a quite long material.
However, still, I think it's great to practice, practice and practice because remember, if you know
how to use the latest API APIs, how to create the latest automations, you can earn a lot of money,
make business, and yeah, just get a lot of traffic to your any product you want.
Thank you for watching again and I will see you in the next video.