Ever wonder how to breathe new life into your Midjourney creations?

, you can now immediately turn your AI generated images into animated videos!

In this blog, we will explore some examples of combining these two AI APIs in action, creating dynamic videos as per the most popular trends!

In our first example, we’ll explore a fan-favorite scenario: the Iron Man character portrayed by Tom Cruise - and we will be using the AI APIs to generate a short scene of this fictional character.

In terms of workflows, we will be testing three different workflows for this example, to help us better understand the steps involved, and the respective output qualities.

For this workflow, we will first generate the image for this fictional character using Midjourney API, and then we will use that image along with another prompt to generate the video using the Luma API. Below is the image that we have generated using Midjourney API, with its prompt in its description (all the prompts used in this blog are edited by GPT). The image generated by Midjourney API will then be put into Luma API

Now that we have the image generated by Midjourney API, we will be inserting that image alongside a new prompt into Dream Machine API, and below is the video generated.

For the second workflow, we have found a real image of Tom Cruise on the internet (see below), and we will use it along with a new prompt to generate the video using the Dream Machine API.

For the prompt in this workflow, we will have to specify the "man in a red and yellow Iron Man suit" because the Tom Cruise image that we found obviously doesn't have the Iron Man suit. In contrast, Workflow 1's image includes an Iron Man suit since the image is generated by Midjourney, thus the omission in its prompt. 

Below is the video generated using the prompt (shown under the video GIF) and the input image found online.

And for the final workflow, we will not use any image as an input to Luma, but only use a relevant prompt to generate the video using the API. 

The main difference between the prompts for this workflow and Workflow 1 is that in Workflow 1, the image already features Tom Cruise in an Iron Man suit, so we don't need to specify the "Iron Man suit" part. Whereas this workflow has no initial image, thus needing the specification in the prompt. 

And below is the video generated by Luma API, using only the prompt under the GIF.

By comparing the results above, we think that the result from Workflow 1 (Midjourney to Luma) is the most realistic and detailed output.

In Workflow 2 (Real image to Luma), we refined the prompt to specify Tom Cruise wearing a red and yellow Iron Man suit, as he obviously wasn't wearing one in the real image. However, despite the prompt, the final result did not include the suit.

In Workflow 3 (Just using Luma), we also refined the prompt to specify Tom Cruise wearing a red and yellow Iron Man suit, as no initial image was used. The result is not as high resolution as that from Workflow 1. We think this is because the high quality image from Midjourney "primed" the Luma model to generate higher-quality video. 

Thus, if you want the best possible output, we recommend you to use Luma Dream Machine API in conjunction with the image from Midjourney.

In the second example, we’ll revisit a concept fans of the 

 movie may be familiar with, the fictional character Wolverine played by Henry Cavill.

Although many may be disappointed by his brief cameo in the movie, Luma API and Midjourney API will allow us to explore an alternate reality where Henry Cavill took on the iconic role of Wolverine, instead of Hugh Jackman.

First, we used Midjourney API to generate an image of Henry Cavill Wolverine; you can see below for the output image and the prompt.

Then, we input the image generated into Luma API with a new prompt. You can see below for the output GIF from Luma and the prompt used. The output is quite dynamic as you can see.

In the final example, we'll explore the highly anticipated concept of the fictional character Dr. Doom, portrayed by Robert Downey Jr (RDJ). 

RDJ Doom takes a new direction for the Marvel universe, and by using the APIs, you can visualize this concept before Marvel releases its first glimpse of Robert Downey Jr. as Dr. Doom.

As with the previous examples, we will first need to generate an image of RDJ Doom using Midjourney API with the prompt provided under the output image.

The image generated will then be used in the Luma API, along with a prompt shown below the output GIF. We personally like the intense look on the character and the clockwork details as the camera pans to the left.

 is the superior choice for great animated visuals. The level of detail achieved by feeding Midjourney images into Luma is quite high, and Luma does a very good job with animating the input, resulting in relatively good-quality output videos. 

We hope you've enjoyed our little experiment and can try a few other ideas yourself!

Using Dream Machine API and Midjourney API we explored what famous marvel characters would look like if they were played by different actors. Such as a Tom Cruise Iron Man, a Henry Cavill Wolverine, and finally RDJ Doom!

Luma API & Midjourney API - Exploring the Marvel Multiverse

Around June 2024, Midjourney introduced the CAPTCHA feature for users of their Discord bot to generate images. Being a security feature, Midjourney has not announced or released any public information regarding its implementation, thus we at PiAPI aren't sure about the exact launch date of this feature. After doing some brief research, it seems that others have 


So what is Midjourney's CAPTCHA feature? 

, which stands for "Completely Automated Public Turing test to tell Computers and Humans Apart", is a type of security measure known as challenge-response authentication. Essentially, it is a small test or puzzle that websites and apps use to check if you're a real person rather than a robot. It might ask you to click on certain images, type in some letters, or solve a simple puzzle. If you have spent time online, you more than likely have done one before.

Thus, why did Midjourney introduce this feature?

Most likely, Midjourney introduced this feature to deter bot abuse and prevent automation attempts. However, CAPTCHAs have some problems. 

Firstly, it negatively impacts user experience. CAPTCHAs sometimes has unclear or distorted text for human readability, which often results in multiple failed attempts, causing frustration among users. Also, CAPTCHAs obviously impose extra manual work for users, causing workflow disruptions. Thus, it is not a surprise that 

77% of IT and security leaders agree that eliminating CAPTCHA would greatly enhance the user experience

Secondly, CAPTCHAs fail at their core purpose because 

AI and bots now outperform humans in solving even the most challenging ones

Naturally, developers using Midjourney API would also be negatively affected by CAPTCHAs. When developers discover a CAPTCHA has shown up, it already means that their website/app service is being disrupted, and they'd have to manually solve the CAPTCHA as well.

Therefore, is there a better way to deal with this issue? 

PiAPI's Midjourney API Auto-CAPTCHA Feature

We at PiAPI have taken the initiative to develop and test our auto-CAPTCHA-solving service, and it consists of the following steps:

When a CAPTCHA is triggered within your own Midjourney account(s), PiAPI will automatically detect this, and suspend this account as shown below:

To get notified that your Midjourney account(s) is suspended:

 to automatically receive updates about your suspended account(s).

 since PiAPI first detected that the CAPTCHA was triggered on your account. You can go to 

, click on "Get CAPTCHA link", solve the CAPTCHA manually, and click on "reactivate" for that particular connected account.

 since PIAPI first detected that CAPTCHA has been triggered on your account. You will have to go to that particular Midjourney's account on Discord to solve the CAPTCHA manually (you need to send a new task first to trigger the CAPTCHA again - unfortunately, this might increase the risk of banning). Then, go back to 

 and click on "Reactivate" for that particular connected account.

Note: If you've solved the CAPTCHA, clicked on "reactivate", and the account still does not work - just delete the account and re-connect it again.

 to help users automatically solve the Midjourney CAPTCHA. All you need to do is simply turn on the switch and that is it!

The difficulties for developers caused by Midjourney's CAPTCHA feature are pretty obvious and painful, from frequent disruption to inefficiencies in their operation. We at PiAPI are committed to improving your experience with our 

 feature, designed to overcome these hurdles effortlessly.

We hope you'll like this feature that we worked on!

An article introducing PiAPI's Auto-CAPTCHA-Solver to streamline workflow and improve efficiency

Midjourney API's Auto-CAPTCHA-Solver

Hi developers! We are very delighted to make this tutorial to show how you can use 

Before we dive into this tutorial, do sign up for our Workspace, obtain your API Key, and check out the documentation for our Faceswap API endpoints.


Firstly, you will need to open up or download Postman. Click the "New" button on the top left of your screen and create a new HTTP request, then change the request type to "POST".

Enter the Faceswap API's endpoint address from our docs into the endpoint input field, click on "Headers" and type "x-api-key" in the empty space under the "Key" text and enter your API Key under the "Value" text as shown in the example below.

Next, click on "Body" located below the endpoint address, then click on "raw", copy the code from our docs and insert it into the body section. Press "Send", then a task id will be returned to you in the response section, and you will need to keep it for later use. Once you're done, proceed to the next step.

Now, we are going to fetch for the task that has been submitted. You will need to create a new HTTP request, change the request type to "POST", then copy the fetch endpoint URL from our docs into the endpoint input field, similar to the above steps.

Then, enter the saved task id response into the body of the fetch endpoint, and press "Send". Once the result status shows "finished", you may copy the returned URL (as per arrow below) into a web browser and see your face-swapped image!

Note: As you are sending the fetch request, if the returned "status" is either "pending" or "processing", then you should wait for a moment before you re-send the request again.

If you are wondering about pricing, please check out our 

's pricing section for more information. We also provide custom dedicated deployment service to users who need solutions for specific requirements (ex. low latency, high concurrency, shorter queuing time).

And this is how you can get started using PiAPI's Faceswap API with Postman! Thank you for reading through this tutorial. Do share with people who find this helpful and don't be shy to contact us with any feedback you might have!

Interested in using Faceswap API but don't know how to do it? Check out this tutorial on how to use Faceswap API with Postman and create your favourite face swapped images!

How to use Faceswap API from PiAPI with Postman

Tutorial

Conclusion

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Luma API & Midjourney API - Exploring the Marvel Multiverse

Midjourney API's Auto-CAPTCHA-Solver