This summary of the video was created by an AI. It might contain some inaccuracies.
00:00:00 – 00:12:55
The video demonstrates the use of AI to create a cinematic video entirely on a computer, starting from generating a story with Gravity Ride to adding dialogue and enhancing facial expressions with various AI tools. It details processes like upscaling images, adding dialogue using L labs, and lip-syncing with Lamo Studio. The narrator highlights the ease and efficiency of using AI tools like Mid Journey, Runway ml, and Think Diffusion throughout the movie-making process. The final steps involve enhancing and editing the video before exporting the completed movie. Overall, the video showcases how individuals, including non-professional storytellers, can leverage AI to create their own films, culminating in an invitation to viewers to share their AI movie-making experiences.
00:00:00
In this segment of the video, the content creator demonstrates how to use AI to create a cinematic video right from a computer. The process involves generating a story for the movie using Gravity Ride, converting the script into images using tools like Mid Journey or Playground A, and creating image prompts for each shot of the video with the help of AI using Gravity Ride. These steps help in creating a cinematic video by leveraging AI technology.
00:03:00
In this part of the video, the focus is on upscaling images for a movie project. The speaker demonstrates how to use Mid Journey to upscale images and then introduces Runway ml for converting the images into a video by dragging and dropping them onto the platform. The process is shown to be quick and easy, with the resulting video ready in just a few minutes. Next, the speaker mentions adding dialogue to the videos using a tool called L labs, which converts text into high-quality spoken audio in various voice styles and languages. This step completes the process of transitioning from images to a complete movie with dialogue.
00:06:00
In this part of the video, the speaker demonstrates how to create dialogues for scenes by generating them using a tool. They then show how to lip-sync the dialogue with a video using Lamo Studio. The process involves uploading the video, adding the dialogue, and generating a lip-synced video. Additionally, the speaker mentions using another AI tool called Think Diffusion to enhance facial expressions in the video by converting it into images and processing them through the tool. The process involves uploading the images, making adjustments, and generating enhanced images for realistic facial expressions.
00:09:00
In this segment of the video, the narrator demonstrates how to enhance images by downloading the ZIP file containing the enhanced images. The next step involves converting the images back into a video using Runway ML and selecting frame interpolation. The narrator highlights the importance of setting the clip duration to match the video duration obtained from the source. After generating the video, they use an online video editor called Clipchamp to combine the clips, add voice-over, and include background music sourced from Pixabay. The final step involves exporting the movie.
00:12:00
In this part of the video, the narrator discusses the process of creating a full-fledged movie using AI, highlighting how they went from having no story to a completed film. They express their genuine amazement at AI’s capabilities and encourage viewers to try crafting their own AI movies, emphasizing that even non-professional storytellers can partake in this creative process. The video concludes by inviting viewers to share their experiences in the comment section and encourages them to start creating their own movies using AI.