Stable Diffusion ComfyUI & Suno AI Create AI Music Video On Our Control
TLDRIn this video, the creator discusses the potential and limitations of using AI to generate music videos. Initially, they express disappointment with Noisy AI, a tool that promises to create music videos from text prompts but fails to deliver consistent quality. Instead, the creator advocates for a more controlled approach using local tools like ComfyUI, Stable Diffusion, and AI music generators like Suno AI. They demonstrate a workflow that involves generating text prompts from song lyrics, creating scenes with Stable Diffusion, and compiling these into a cohesive music video. The video concludes with a personal touch, showcasing a music video created using this method, which provides more control and customization over the final product.
Takeaways
- 🎥 The video discusses creating music videos using AI tools, contrasting the quality of results from a specific AI service with a preferred method.
- 📚 The speaker is disappointed with the output from a tool called 'Noisy AI', which they found to be inconsistent and lacking in quality.
- 🤖 The AI models used by Noisy AI are criticized for not generating consistent hands and fingers, indicating a lack of training or data.
- 🎶 The music for the videos on Noisy AI is not generated by the platform itself but must be provided by the users.
- 📷 The speaker prefers to have more control over the content and suggests using local tools like ComfyUI for a better outcome.
- 🛠️ The tutorial outlines using a combination of Stable Diffusion, Anima Diff, and AI music generators to create higher quality music videos.
- 🎵 The AI music generator 'Suno AI' is mentioned as a tool for creating music that can be transformed into music videos.
- 📝 The process involves using large language models to transform lyrics into descriptive stories for each scene of the music video.
- 🎭 The speaker uses 'Animate Diff' to generate singing scenes and 'Stable Video Diffusion' (SVD) to create B-roll scenes that tell a story.
- 🚫 The speaker advises against relying on AI models that merely stitch together scenes without considering the context or lyrics of the music.
- 🌟 The final takeaway is the empowerment of creators to have more control and produce higher quality content by using the right tools and workflows.
Q & A
What is the main topic of the video?
-The main topic of the video is about creating music videos using AI tools, specifically discussing the limitations of a tool called Noisy AI and then demonstrating a more controlled method using Stable Diffusion ComfyUI and Suno AI.
What was the creator's initial impression of Noisy AI?
-The creator was initially excited by Noisy AI, as the introduction videos on their website seemed to show high-quality AI-generated music videos from simple text prompts.
Why did the creator express disappointment with Noisy AI?
-The creator was disappointed because upon further investigation, it appeared that Noisy AI was not creating its own models but was instead combining different AI models, and the generated content did not match the music provided by users.
What are the issues with the generated videos from Noisy AI?
-The issues include inconsistent hand and finger generation, mismatched lyrics and video content, and a lack of creative control over the final music video product.
What alternative method does the creator propose for creating music videos?
-The creator proposes using a combination of Stable Diffusion ComfyUI for generating video scenes and Suno AI for creating music, allowing for more control over the content and style of the music video.
What is the role of Stable Diffusion in the proposed workflow?
-Stable Diffusion is used to generate video scenes based on text prompts, which are transformed into animations that can be used in the music video.
How does the creator plan to use Suno AI in the music video creation process?
-The creator plans to use Suno AI to generate music that will be synchronized with the video scenes created by Stable Diffusion, thus creating a cohesive music video.
What are the advantages of using the proposed method over Noisy AI?
-The advantages include better control over the video content, the ability to create a character for the story, and the option to use any AI music generator of choice for a more personalized and higher-quality music video.
What is the significance of using a large language model in the creation process?
-A large language model is used to transform lyrics into more descriptive stories for each scene, which then helps in generating prompts for Stable Diffusion to create the corresponding video scenes.
What is the final step in creating the music video?
-The final step is to edit the generated scenes and the AI music together using a video editing software like CapCut, ensuring that the scenes and music are well synchronized.
How does the creator describe the quality of the final music video created using the proposed method?
-The creator describes the final music video as being of even better quality than those generated by Noisy AI, with more control over scene arrangement, effects, and transitions.
What future improvements does the creator consider for the music video creation process?
-The creator considers improvements such as better lip syncing and more research on generating higher quality video scenes for an even more polished final product.
Outlines
🎥 Introduction to AI Music Video Creation
The video begins with an introduction to the topic of creating music videos using AI tools. The speaker expresses initial excitement about the potential of AI to generate music videos from text prompts, as demonstrated by the impressive introductory videos on a specific AI's website. However, upon further investigation through the AI's Discord server, disappointment is voiced due to the quality and originality of the generated content. The speaker criticizes the AI for not creating its own models and instead combining existing AI models, leading to inconsistent and sometimes poor results, such as deformed hands in the generated videos. The critique is extended to the AI's music video generation, which is deemed unsatisfactory as the music and video content do not match, and the process seems to be more automated than creatively inspired.
🚀 Building a Better Workflow for Music Videos
Following the critique, the speaker proposes to disregard the disappointing AI model and instead suggests creating a superior workflow for music video generation. The focus is on having more control over the content, using local tools on a PC to generate both the music and the video components of the video. The speaker outlines a plan to use a combination of existing workflows, including a large language model for text prompts, stable video diffusion for animations, and AI music generation with Sunno AI. The aim is to create a music video that tells a story and matches the lyrics and mood of the music, offering a more personalized and higher-quality outcome than the AI model discussed earlier.
🎶 Generating Music and Visuals with AI
The speaker shares the process of generating an R&B style song using Sunno AI, which captures the theme of long-distance love and sadness. The generated song serves as the basis for the music video's visuals. The workflow involves using video clips of people singing, which are transformed through stable diffusion animations to match the desired style. Additionally, the speaker plans to create love story scenes for the B-roll using stable video diffusion, with prompts generated from the song's lyrics. The lyrics are transformed into more descriptive stories, which are then used to create each scene of the music video. The speaker emphasizes the ease of editing the final video in CapCut, combining the A-roll (singing scenes) and B-roll (love story scenes) to create a cohesive narrative that aligns with the music.
📚 Final Thoughts on AI Music Video Tutorial
The video concludes with the speaker presenting the final music video and discussing the ease of assembling the scenes and synchronizing them with the AI-generated music. They highlight the control and customization possible with this method, as opposed to relying on an AI model to generate mismatched content. The speaker also suggests areas for improvement, such as better lip-syncing and further research into enhancing the video quality. They express hope that the audience is inspired by the tutorial and look forward to sharing more in future videos.
Mindmap
Keywords
💡Stable Diffusion
💡AI Music Generator
💡Discord
💡Text Prompt
💡SVD (Stable Video Diffusions)
💡Comfy UI
💡A-Roll and B-Roll
💡Llama 3
💡Zuno AI
💡Cap Cut
💡Lip Sync
Highlights
The video discusses creating music videos using AI tools like Stable Diffusion and AI music generators.
The presenter is initially inspired by Noisy AI's ability to generate music videos from text prompts.
However, upon further investigation, disappointment is expressed with Noisy AI's actual output, which seems to rely on other AI models.
Noisy AI's Discord server is criticized for not training its own models and for the inconsistency in the generated content.
The video demonstrates how to create a more controlled and higher-quality music video using Comfy UI and Stable Diffusion workflows.
Stable Diffusion's Anime Diff and SVD workflows are used to generate scenes for the music video.
Zuno AI is used to generate the music for the video, which is considered to have better quality for this purpose.
The process involves transforming lyrics into descriptive stories for each scene using large language models.
Llama 3 is utilized to generate stable diffusion prompts for each scene.
The video emphasizes the importance of matching the video content with the lyrics and the music for a cohesive music video.
Editing of the final music video is done using CapCut, which is described as user-friendly and straightforward.
The presenter shares their workflow for creating AI music videos, which includes using existing video clips and transforming them into new styles.
The video concludes with a demonstration of the final music video, showcasing a higher quality than what was initially seen with Noisy AI.
The presenter suggests that with more time and research, lip-syncing and other improvements could be added to enhance the music video.
The video provides a link to a tutorial on how to use large language models with Stable Diffusion in Comfy UI.
The final music video is a combination of A-roll (singer's performance) and B-roll (story scenes) edited together with the generated music.
The presenter encourages viewers to use their preferred AI music generator for creating music videos, emphasizing personal preference over perceived quality.
