How to create an AI music video (FULL WALKTHROUGH)

neural frames
23 Jul 202310:34

TLDRIn this tutorial, Nico from Newer Frames demonstrates how to create an AI-generated music video in under 10 minutes. Starting with selecting an AI model, he guides through the process of creating the first frame, editing the video with a timeline, and syncing it with music. He explains the importance of strength and smoothness in image generation, and how to use modulation to enhance the video's rhythm. The result is a visually engaging evolution of humankind, from prehistoric times to modern civilization, all set to music.

Takeaways

  • 😀 The tutorial is about creating an AI music video using the platform 'Neural Frames'.
  • 🤖 There are six standard AI models in Neural Frames, including three all-rounders and three specialists for specific styles.
  • 🛠️ Users can train custom AI models on specific subjects or objects.
  • 🎨 The 'Dream Shaper' model is selected for the video project to depict the evolution of humankind.
  • 🖼️ The first frame of the video is created by inputting a text prompt and choosing an image format.
  • 🎵 The video editor includes a timeline for prompts, modulation, and music.
  • 🎶 The platform extracts individual elements of a song for synchronization with video content.
  • 🔧 Modulation settings can be adjusted based on song elements like the snare, kick drum, or hi-hats.
  • 🔄 The 'strength' parameter controls how different each new image will be from the previous one.
  • 🔄 The 'smooth' parameter determines the interpolation between neural network outputs for a smoother transition.
  • 🎥 The tutorial demonstrates adding prompts and rendering the video to create a music video that evolves with the song.

Q & A

  • What is the purpose of the platform 'Newer Frames' mentioned in the script?

    -The 'Newer Frames' platform is designed to create videos from text, and it is particularly suited for creating music videos.

  • How many standard AI models does Neural Frames have according to the script?

    -Neural Frames has a total of six standard AI models trained on specific use cases.

  • What are the three all-rounder models in Neural Frames used for?

    -The three all-rounder models in Neural Frames can depict anything the user would ever want and are versatile for various scenarios.

  • What is the 'Dream Shaper' model mentioned in the script?

    -The 'Dream Shaper' is one of the standard models in Neural Frames that the presenter likes and chooses for the demonstration.

  • What is the 'Pimp My Prompt' feature used for in the video creation process?

    -The 'Pimp My Prompt' feature uses AI techniques to enhance the text prompt, making it better suited for the AI model to understand and generate images.

  • What is the significance of choosing the image format as 16 to 9 in the script?

    -Choosing the image format as 16 to 9 is for creating a widescreen aspect ratio, which is commonly used in video production.

  • How does the video editor in Newer Frames consist of elements?

    -The video editor in Newer Frames consists of three elements: the timeline, the preview window, and the settings panel.

  • What does the term 'stems' refer to in the context of adding a song to the video?

    -In the context of adding a song, 'stems' refers to the individual elements of the song, such as the snare, kick drum, or other components, which can be used for modulation.

  • What are the two important parameters for modulation mentioned in the script?

    -The two important parameters for modulation mentioned are 'strength' and 'smooth', which determine how different the new image will be from the old one and how much interpolation occurs between neural network outputs.

  • Why is a low smooth value recommended when using modulation based on rhythm elements?

    -A low smooth value is recommended to ensure that the modulation of strength based on rhythm elements like the snare aligns with the beat, avoiding the smoothing frame that could miss the hit of the snare and result in no modulation effect.

  • What is the role of 'strength' in the video generation process as described in the script?

    -The 'strength' determines the magnitude of difference between the new image generated by the neural network and the old image, with high strength leading to very different images and low strength sticking closely to the original image.

Outlines

00:00

🎥 Introduction to Video Creation with AI Models

The script introduces Nico, the host from NewerFrames, who demonstrates how to create videos from text, particularly for music videos. The platform offers six standard AI models, including three all-rounders and three specialists for specific styles like realistic vision, analog photography, and comics. Custom AI models can also be trained. The process begins by selecting an AI model, such as the 'Dream Shaper', and then creating or uploading an initial image. The first frame editor allows users to input text prompts to guide the AI in creating the starting frame of the video, with options to enhance the prompt and select image format.

05:01

🎼 Creating a Music Video with AI-Assisted Editing

This section details the video creation process in NewerFrames, focusing on the video editor's interface, which includes a timeline for prompt inputs, modulation, and music. The platform extracts individual elements of a song for more dynamic video creation. Users can add modulation based on song elements like the snare, kick drum, or hi-hats to create effects synchronized with the music. The script explains the importance of 'strength' and 'smooth' parameters in image generation, emphasizing the need for a low smooth value for effective modulation. It also advises against changing the smooth value mid-video to maintain visual coherence. The host illustrates the process by adding text prompts for different evolutionary stages of humankind and suggests using camera movements and adjusting strength values to create a compelling music video.

10:01

🎵 Finalizing the Music Video with Additional Prompts

The final paragraph describes the continuation of the music video creation process by adding more text prompts to synchronize with the song's duration. The host intends to add prompts until the 80-second mark and then showcase the end of the video. The script highlights the ability to review and re-render the video at any point if adjustments are needed. The host expresses satisfaction with the current results, indicating that no further changes are necessary, and looks forward to completing the video with additional prompts that align with the music's theme and evolution.

Mindmap

Keywords

💡AI model

An AI model in the context of this video refers to the artificial intelligence algorithms used to generate visual content. The script mentions 'standard models' and 'custom models,' indicating that there are pre-trained models suitable for general use and the option to train models on specific subjects or styles. The AI model 'Dream Shaper' is selected for the project, which is integral to the video's creation process.

💡Neural frames

Neural frames are likely a reference to the framework or system within which AI models operate to create video content. The script suggests that there are six standard models available within this framework, each trained for specific use cases, which is crucial for understanding how the AI generates the music video content.

💡Text prompt

A text prompt is a textual description provided to guide the AI in generating specific imagery. In the script, the text prompt is used to describe the desired scene, such as 'prehistoric cave with fire,' which helps the AI model to visualize and create the content that aligns with the video's theme of human evolution.

💡Pimp My Prompt

This term from the script refers to a feature that enhances the text prompt using AI techniques to better describe the scene for the AI model. It's a tool to refine and improve the clarity of the instructions given to the AI, ensuring that the generated images are more accurate and aligned with the creator's vision.

💡Image format

The image format mentioned in the script, such as '16 to 9,' refers to the aspect ratio of the generated images. This is an important parameter as it determines how the video will look on different screens and is part of the technical setup for creating the music video.

💡Timeline

In video editing, the timeline is a sequence that represents the order and duration of media elements in the video. The script describes the timeline as consisting of parts for prompt inputs, modulation, and music, which are essential for synchronizing the visual content with the audio track in the music video.

💡Song stems

Song stems are the individual components or tracks of a song, such as vocals, drums, or bass. The script mentions that the platform extracts these stems, allowing for the synchronization of video content with specific elements of the music, enhancing the music video's dynamic feel.

💡Modulation

Modulation in this context refers to the variation in the AI-generated video content based on elements of the song, such as the snare or kick drum. The script describes using the snare as a modulation element, which affects the 'strength' of the image changes, creating a visual rhythm that corresponds with the music.

💡Strength

Strength is a parameter that determines how different the new image generated by the AI will be from the previous one. A high strength value results in more significant changes, while a low value maintains more similarity. In the script, strength is modulated based on the snare hits to create a dynamic visual effect.

💡Smooth

Smooth is a parameter that defines the interpolation between neural network outputs, affecting the transition's smoothness between images. A low smooth value is recommended when using modulation to ensure that the changes in strength align with the music's rhythm, as mentioned in the script.

💡Camera movement

Camera movement refers to the simulated motion of the virtual camera within the AI-generated video. In the script, the creator opts to start without camera movement, which means the initial focus is on the static imagery before potentially introducing motion to enhance the visual storytelling.

Highlights

Introduction to creating AI music videos using Neural Frames.

Explanation of six standard AI models available in Neural Frames.

Option to train custom AI models for personalized video creation.

Selection of the 'Dream Shaper' model for the music video project.

Creating the first frame by typing in a text prompt describing the desired scene.

Utilization of 'Pimp My Prompt' to enhance the text prompt for AI.

Choosing the image format and rendering the starting frame.

Entering the video editor with its three main elements: timeline, preview window, and settings.

Adding a song and extracting its stems for individual control.

Adjusting video settings such as trippiness and movement for the initial render.

Introduction to modulation based on song elements like the snare for dynamic video effects.

Importance of 'strength' and 'smooth' parameters in video generation.

Recommendation to use a low smooth value for rhythm-based modulation.

Adding camera movement and adjusting strength for dynamic scenes.

Creating a sequence of prompts to depict the evolution of humankind.

Rendering the video and making adjustments as needed.

Finalizing the music video with a series of prompts until the song's end.

Reviewing the completed AI music video and its creative process.