How to Create Viral AI Transformation Videos: A Complete Step-by-Step Guide

The rise of artificial intelligence has radically transformed the digital content creation landscape. One of the hottest and most viral-friendly trends right now is AI-generated ‘restoration’ or ‘transformation’ videos. These short clips, which show a stunning progression from a degraded state to a state of perfection, instantly capture viewer attention and are ideal for platforms like TikTok, Instagram Reels, and YouTube Shorts. What once required hours of complex filming and editing can now be achieved in minutes using accessible and specialized AI tools.

This detailed guide will demystify the process, showing you exactly how to utilize a powerful combination of ChatGPT and OpenArt to create an impeccable kitchen transformation sequence, culminating in a cohesive, high-quality final video. Prepare to master the art of AI-generated visual storytelling.

The Structure of Success: Setting Up the AI Workflow via ChatGPT

The secret to creating consistent transformation videos lies in structured, controlled iteration. Instead of attempting to generate complex prompts from scratch, we will utilize a specialized AI assistant within the ChatGPT ecosystem.

Locating the Specialized GPT: Floor Transformation

The first step is navigating to the GPT Store within the ChatGPT interface. The GPT Store hosts thousands of customized tools trained for specific tasks. For this project, the ideal assistant is the “Floor Transformation” GPT.

• Access: Open ChatGPT and head to the GPT Store.
• Search: Look for “Floor Transformation.”
• Initiation: Click to start the chat, and then press the ‘Start’ button provided by the GPT.

The value of this specialized GPT is that it already possesses the intelligence and pre-configured prompts necessary to generate the logical sequence required for a seamless transformation, ensuring that the images created are coherent and progressive.

Defining the Project Scope

The GPT will ask what kind of video you wish to make. For our specific example, we will proceed with the kitchen transformation option, which is a perfect scenario for demonstrating the progression of floor restoration.

Upon selecting the desired option (in this case, option 1: kitchen), the GPT will provide a complete instruction package, which includes four detailed image prompts, intended for the Nano Banana Pro model, and three video prompts, optimized for the V3 model. These prompts are the backbone of our entire project.

Mastering Sequential Image Generation in OpenArt

With the prompts in hand, we migrate to the primary art generation tool: OpenArt. OpenArt is a robust platform that offers access to cutting-edge models, essential for the high quality and realism we seek.

Phase 1: The Starting Point (The Initial Image)

In this phase, we will generate the first frame of our video, representing the ‘before’ state of the transformation. It is crucial to adhere to the exact specifications for the model and the short-form video format.

1. Access OpenArt: Navigate to the ‘Image’ tab and click on ‘Create Image’.
2. Model Selection: Choose the Nano Banana Pro model. This model is renowned for its ability to generate ultra-realistic images with fine details, making it ideal for interior design projects.
3. Prompt Input: Copy and paste the first image prompt provided by ChatGPT.
4. Output Settings:
• Aspect Ratio: 9:16 (Vertical format for short videos).
• Resolution: 2K (To ensure high definition and quality).
• Image Count: Select the desired number (1 or 4 is recommended for choice).
5. Creation: Click ‘Create’.

This image will be Frame 1, the old, worn-down kitchen.

Phase 2: Utilizing Omni Reference for Coherence

The key to a believable transformation is visual coherence between frames. OpenArt offers a feature called ‘Omni Reference’ that allows you to use a previously generated image as a base for the next, ensuring that geometry, lighting, and perspective remain consistent throughout the sequence.

To generate Frame 2 (People working in the kitchen):

1. Reference Upload: Upload the newly created Frame 1 as the ‘Omni Reference’.
2. New Prompt: Copy the second image prompt from ChatGPT (the one describing activity or the start of construction).
3. Creation: Click ‘Create’ again.

Frame 2 will show the exact same kitchen, but now with construction activity underway. This step is vital for the narrative transition.

Phase 3: The Installation Progression (Frame 3)

We repeat the process, but now focusing on the installation of the central new element of the transformation: the flooring.

1. New Reference: Upload Frame 2 (the image with people working) as the new ‘Omni Reference’.
2. Third Prompt: Copy and paste the third prompt from ChatGPT (focusing on floor installation).
3. Generation: Click ‘Create’.

Frame 3 will show the floor actively being installed, a critical step in the sequence progression.

Phase 4: The Final Result (Frame 4)

The final image prompt will give us the end result—the restored and pristine kitchen. This will be our ‘after’ shot, the climax of the transformation.

1. Final Reference: Use Frame 3 (floor being installed) as the ‘Omni Reference’.
2. Last Prompt: Copy and paste the fourth and final image prompt from ChatGPT (describing the completed kitchen).
3. Image Conclusion: Click ‘Create’.

At this point, we have four static images, each representing a sequential and coherent stage of the kitchen transformation.

Bringing the Transformation to Life: Video Clips and Transitions

Having the images is only half the battle. The true viral impact comes from the smooth, dynamic transitions between these frames. For this, we will use OpenArt’s ‘Image to Video’ functionality, leveraging the V3 model, which is optimized for motion.

Configuring the V3 Model and the First Transition

The V3 model excels at generating subtle motion and visual transitions, turning the difference between two static frames into a fluid video clip. This process simulates a time-lapse effect without the need for real-world filming.

1. Access: Go to the ‘Video’ tab in OpenArt and select ‘Image to Video’.
2. Video Model: Choose the V3 model.
3. Defining Start and End (Clip 1):
• Start Frame: Upload Frame 1 (old kitchen).
• End Frame: Upload Frame 2 (people working).
4. Motion Prompt: Copy the first video prompt provided by ChatGPT and paste it in. This prompt instructs the AI on the desired type of movement and transition.
5. Video Settings:
• Resolution: 720p (Ideal for short videos and quick processing).
• Aspect Ratio: 9:16.
• Duration: 6 seconds (Perfect for capturing the transition without being too lengthy).
6. Generation: Click ‘Create’ to generate the first transition clip.

Creating the Sequential Transitions (Clip 2 and Clip 3)

We repeat this process, linking the remaining frames to create a continuous visual narrative.

Clip 2: Progress of Work

For this transition, the starting point is the result of the ongoing work, and the endpoint is the floor installation.

• Start Frame: Frame 2 (people working).
• End Frame: Frame 3 (floor installed).
• Prompt: Use the second video prompt from ChatGPT.
• Creation: Generate the second clip.

Clip 3: From Installation to Finish

This is the final restoration clip, showing the shift from the floor being installed to the completed kitchen.

• Start Frame: Frame 3 (floor installed).
• End Frame: Frame 4 (final result).
• Prompt: Use the third and final video prompt from ChatGPT.
• Creation: Generate the third clip.

The Final Touch: The Climax Shot and Assembly

To maximize viral impact, it is essential to end the video with a visual “climax,” typically a dynamic camera movement over the finished result.

Clip 4: The Aerial Shot (Zoom-In)

The fourth clip will be a closing shot, using only the finalized image to create an impressive cinematic movement. This type of motion, such as a smooth zoom or a drone shot, adds a professional, high-production feel.

1. Tool: Utilize the ‘Image to Video’ function again.
2. Input: Upload only Frame 4 (the completed kitchen).
3. Simple Prompt: Type a direct motion prompt, such as “zoom-in camera” or “smooth drone shot”.
4. Creation: Generate this final clip, which will serve as the impactful conclusion to your video.

Upon completion of this step, you will have a total of four video clips: three sequential transitions and one dynamic closing shot.

Final Assembly in CapCut

The last step is assembly. CapCut is an incredibly popular and efficient video editing tool for short-form content, making it ideal for this project.

1. Download: Download all four video clips generated by OpenArt.
2. Import: Import all clips into CapCut.
3. Sequence: Place the clips on the timeline, one after the other, in the correct order (Transition 1, Transition 2, Transition 3, Final Aerial Shot).
4. Speed and Audio Adjustments: Although the AI has done most of the heavy lifting, you can add an engaging soundtrack and adjust the playback speed (perhaps slightly accelerating the transitions) to create the perfect rhythm for viral consumption.

The end result is a mesmerizing time-lapse video of a kitchen being built and restored, step by step, all generated efficiently and rapidly through the power of artificial intelligence. This methodology ensures not only aesthetic beauty but also the narrative consistency needed to capture the audience’s attention.

Advanced Considerations and Viral Potential

The beauty of this methodology lies in its repeatability and adaptability. Once you master the workflow involving the specialized GPT and OpenArt’s image/video tools, you can apply the same process to countless other scenarios: vintage car restoration, garden transformation, or furniture renovation.

• Prompt Engineering Nuances: Remember that while the GPT provides the starting prompts, minor modifications to descriptive terms (colors, materials, architectural styles) can generate drastically different visual results, allowing you to tailor the content for specific niches.
• The Role of Coherence: The use of ‘Omni Reference’ is the technical factor that prevents your images from looking disconnected. By ensuring that each new frame builds upon the previous one, the AI maintains the same ‘camera’ and ‘lighting,’ selling the illusion of a real time-lapse recording.

Creating high-quality, viral content has never been more accessible. By combining ChatGPT’s narrative structuring capability with OpenArt’s visual generation power, you are now equipped to dominate short-form video platforms with content that not only impresses but also spreads rapidly.