Turn Midjourney Images into Zoom Out Videos

Turn Midjourney Images into Zoom Out Videos

Table of Contents

1. Introduction
2. Creating the Initial Image
3. Upscaling and Zooming Out the Images
4. Generating Sequential Images
5. Converting Images into a Video
6. Using Code Interpreter for Video Generation
7. Improving Video Quality with Detailed Prompt
8. Comparing the Results
9. Adjusting Parameters for Desired Zoom Level
10. Conclusion

Article

Introduction

Welcome to the Second video in our captivating series, "Experiments with Chat GPT Code Interpreter." In this video, we will explore how we can use the code interpreter to Create a zoom-out video using a sequence of images.

Creating the Initial Image

To start the process, we need to create the initial image using the mid-Journey. We can use the Imagine command with a prompt, such as a little girl walking through a forest. Once the images are generated, we can select one and upscale it using the upscale button. For example, let's upscale the third image. We can then use the zoom out 1.5x button to zoom out the first image. While the image is being generated, we can save it as g1.png, which will be the starting point of our video.

Upscaling and Zooming Out the Images

Next, we need to repeat the process of upscaling and zooming out to create a sequence of zoomed-out images. We can summarize the process into three steps:

1. Upscale one of the four images generated by mid-journey.
2. Click on the zoom out 1.5x button to zoom out and create another set of zoomed-out images.
3. Save the upscaled image from step 1 with a sequential naming convention.

We can repeat this process using the four images generated from step 2. For the purpose of this video, let's limit it to six images.

Generating Sequential Images

By following the upscaling and zooming out process, we have now created six images with a zoom-out effect. It's important to note that the zooming out may not be smooth within the image, and there might be a slight pause when the image changes.

Converting Images into a Video

Now, let's try to convert these images into a video using the chat GPT code interpreter. We need to create a zip file with the six images we have generated. Since the code interpreter only accepts a single file upload, we need to use a zip file to work with multiple files.

To enable the code interpreter, we can go to the GPT4 tab and upload the zip file with the six images. We can then use a simple prompt in natural language to check if the code interpreter is able to generate a video.

Using Code Interpreter for Video Generation

For the prompt, we can specify that the zip file contains six images named in sequence from g1.png to g6.png. We can also mention that we want to create a video starting from g1.png and zooming out till g6.png, ensuring that the transition is smooth.

After executing the prompt, the code interpreter will break the task into multiple steps and start executing them. We can check the python code to see what's happening within the code interpreter. Sometimes, the code interpreter may ask for input regarding the video, such as the desired frames per second (e.g., 30 FPS).

Once the task is completed, the video will be ready to download. We can play the video to see the zoom-out effect for the six images we created. However, it's important to note that there may still be minor issues when the image changes, such as a slight pause.

Improving Video Quality with Detailed Prompt

To improve the video quality and address the issues when the image changes, we can use a more detailed prompt that contains technical values. During our research for this experiment, we came across a tweet from a person called minchoy, who has experimented with the same effect. They used a much more technical prompt compared to the simple natural language prompt we used earlier.

Let's take a look at their prompt, which specifies using matplotlib and opencv libraries, the desired zoom levels, the output format, and more:

"This ZIP file contains a series of images simulating a zoomed-in shot to a zoomed-out shot, with six images sequenced from g1.png to g6.png. Using matplotlib for sorting and opencv library, turn this image into a 30fps, 6 seconds video. Start with zoomed in on Center at Zoom factor of 1.5 of g1.png, then slowly zooming out using Zoom factor of 0.02 until a Zoom factor of 1.0 is achieved. Repeat for each next image in the same manner in the sequence. Write each frame to the video as they are generated to avoid memory issues. Output format should be MP4/MOV for web, maintaining the original resolution."

By using this prompt, we can recreate the images at the desired zoom level and generate a better video with smooth transitions and minimal issues when the image changes.

Comparing the Results

When we compare the results of the video generated using the simple prompt and the detailed prompt, we can see a significant improvement in the video quality. The video created with the detailed prompt has longer duration, smooth transitions, and a more professional appearance. This is attributed to the specific instructions provided in the prompt, including the use of matplotlib and opencv libraries, the defined zoom levels, and the specified output format and resolution.

Adjusting Parameters for Desired Zoom Level

In the detailed prompt, the author used a zoom level of 1.25x, which differs from our initial prompt where we used a zoom level of 1.5x. To match the desired zoom level, we might need to adjust the parameters in the prompt accordingly. By experimenting with different zoom levels and settings, we can achieve the desired outcome.

Conclusion

In conclusion, using the code interpreter and detailed Prompts, we can generate impressive zoom-out videos from a sequence of images. By specifying technical details, such as zoom levels and output formats, we can enhance the video quality and create a more professional result. Keep experimenting and exploring the possibilities of the code interpreter to unlock more creative outputs.

Highlights

• Explore creating a zoom-out video using a sequence of images with the code interpreter.
• Upscale and zoom out the images to generate a series of zoomed-out images.
• Convert the images into a video using the code interpreter.
• Improve video quality by using a detailed prompt with technical values.
• Adjust parameters to achieve the desired zoom level.
• Code interpreter provides step-by-step execution and explanations.
• Compare results between simple and detailed prompts to see the difference in video quality.
• Experiment with different zoom levels and settings for more creative outputs.
• Enhance transitions and minimize issues when the image changes.
• Get impressive and professional results with the right parameters and instructions.

FAQ

Q: Can I use any sequence of images to create a zoom-out video? A: Yes, you can use any sequence of images as long as they are in the desired order and meet the requirements of the code interpreter.

Q: How can I adjust the zoom level in the video? A: To adjust the zoom level, you can modify the prompt and specify the desired zoom factors for the images.

Q: Can I use a different output format for the video? A: Yes, you can specify the desired output format in the prompt, such as MP4 or MOV, based on your requirements.

Q: Does the code interpreter provide explanations for its execution? A: Yes, the code interpreter provides step-by-step execution instructions and explanations to help you understand the process.

Q: Can I use different libraries for image manipulation? A: Yes, you can specify the desired libraries, such as matplotlib and opencv, in the prompt to customize the image manipulation process.

Q: How can I ensure smooth transitions between the images in the video? A: By following the detailed prompt and specifying the desired zoom levels and transition settings, you can achieve smooth transitions between the images in the video.