Image2Video. Stable Video Diffusion Tutorial.

Sebastian Kamph
2 Dec 202312:23

TLDRIn this tutorial, the presenter introduces Stable Video Diffusion, a technology by Stability AI that transforms still images into dynamic videos. The process is free and adaptable to various video applications, including multi-view synthesis that can create a 3D effect. Two models are available, one for 14 frames and another for 25 frames. The tutorial demonstrates how to use these models with Comfy UI, a platform that allows users to download and implement workflows for Stable Video Diffusion. The presenter also discusses the process of obtaining and renaming the models for use, and provides tips on achieving better results with different samplers. The video concludes with an invitation to participate in an AI art contest with a prize pool of up to $113,000, where entrants can submit their workflows for a chance to win.

Takeaways

  • 🎬 Stable Video Diffusion is a technique that transforms still images into dynamic videos.
  • 🆓 This technology is free and can process any image, whether prompted or a regular photo.
  • 🐦 The results can be quite impressive, as demonstrated by the example of the birds.
  • 🤖 Stable Video Diffusion is developed by Stability AI and is their first model for generative video.
  • 📈 It is adaptable to various video applications, including multi-view synthesis, which can create a 3D model effect.
  • 📚 Two models are available: one for 14 frames and another for 25 frames, dictating the length of the video generation.
  • 📈 Stable Video Diffusion outperformed or was on par with competitors like Runway and Pabs in a user comparison.
  • 📁 The process involves using specific models (SVD 14 frames and SVD 25 frames) and can be implemented in a UI like Comfy.
  • 💻 Users with less than 8 GB of VRAM can use cloud GPU power through Think Diffusion.
  • 🔍 Experimentation with different settings, such as the motion bucket and augmentation level, can significantly affect the output.
  • 🌟 OpenArt is hosting a Comfy UI workflow contest with a total prize pool of up to $113,000, encouraging creative use of Stable Video Diffusion.
  • 📢 Winning workflows will be available to the public on OpenArt, so creators should be comfortable with this level of visibility.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is about Stable Video Diffusion, a technology that can transform still images into videos, and it is provided by Stability AI.

  • What are the two models available for Stable Video Diffusion?

    -The two models available for Stable Video Diffusion are one for 14 frames and another for 25 frames, which determine the length of the video generation.

  • How does Stable Video Diffusion compare to its competitors?

    -According to a win rate comparison mentioned in the script, Stable Video Diffusion came up on par with or on top of its competitors, Runway and Pabs.

  • What is the purpose of the AI art contest mentioned in the video?

    -The AI art contest is organized to encourage the creation and sharing of workflows for Comfy UI, with a total prize pool of up to $113,000.

  • How can one participate in the AI art contest?

    -To participate in the AI art contest, one needs to upload their Comfy UI workflow to OpenArt, following the instructions provided on the contest page.

  • What is the recommended sampler for Stable Video Diffusion?

    -The recommended sampler for Stable Video Diffusion, based on the presenter's experience, is the k-Sampler, specifically the 'Oiler' model.

  • What is the minimum VRAM requirement to run Stable Video Diffusion?

    -While a 4090 GPU with a lot of VRAM can be used for Stable Video Diffusion, the presenter recommends an 8 GB card as the minimum requirement.

  • What is the significance of the 'motion bucket' in the Stable Video Diffusion process?

    -The 'motion bucket' controls the amount of movement in the generated video. Increasing the motion bucket can result in more movement in the video, but too much can cause the image to break down.

  • How can one access more advanced workflows for Stable Video Diffusion?

    -One can access more advanced workflows by looking into the library of workflows available on OpenArt, which can be sorted by category.

  • What is the recommended file format for the final video output to avoid broken backgrounds and colors?

    -To avoid broken backgrounds and colors, it is recommended to change the output file format from GIF to MP4 or another video codec like H.264.

  • What are the different categories in the AI art contest?

    -The AI art contest has categories such as Art, Design, Marketing, Fun, and Photography, along with several special awards for specific types of workflows.

  • How can one get the Stable Video Diffusion models?

    -The Stable Video Diffusion models can be downloaded from the provided links in the video description, where they are available as SVD XT (25 frames) and SVD (14 frames) save tensors.

Outlines

00:00

🎬 Introduction to Stable Video Diffusion

The video begins with an introduction to Stable Video Diffusion, a technology released by Stability AI that transforms still images into dynamic videos. The host showcases the potential of this AI tool by demonstrating how it can take a regular photo and create an engaging video from it. The technology is adaptable for various video applications, including multi-view synthesis, which allows for the creation of 3D models from a single image. Two models are available: one for 14 frames and another for 25 frames, which determine the duration of the video generation. The video also includes a comparison with other models, highlighting the effectiveness of Stable Video Diffusion. Links to download the necessary models and workflows are provided, along with a brief guide on how to implement the technology using Comfy UI.

05:02

🖼️ Working with Different Image Resolutions

The host discusses the process of using Stable Video Diffusion with images of various resolutions, including vertical and square formats. They mention that while the input image quality affects the output, the AI can still produce a usable video even with suboptimal inputs. The video explores different samplers and recommends the 'Oiler' sampler for its reliability and effectiveness with Stable Diffusion. The host shares their experience with generating videos from different images, adjusting settings to achieve more motion in the output. They also provide guidance for those with limited hardware resources, suggesting the use of cloud GPU services for processing. The segment concludes with a demonstration of how to use the technology to create a video from an image of a warrior woman, emphasizing the importance of experimenting with motion settings to achieve desired results.

10:03

📈 Advanced Workflows and the Comfy UI Workflow Contest

The video moves on to discuss advanced workflows for Stable Video Diffusion, mentioning the availability of a library of workflows on OpenArt. The host guides viewers on how to find and install these workflows in Comfy UI, including dealing with potential issues that may arise during installation. They also touch on the process of upscaling images and the importance of selecting the right format for the desired output quality. The video concludes with an announcement about the OpenArt Comfy UI Workflow Contest, which offers a substantial prize pool for the best workflows in various categories. The host explains the process of entering the contest, including uploading a workflow and providing necessary details such as the workflow's name and a thumbnail image. They encourage viewers to participate and offer best wishes for their success in the competition.

Mindmap

Keywords

💡Stable Video Diffusion

Stable Video Diffusion is a technology released by Stability AI that enables the transformation of still images into dynamic videos. It is based on the image model of Stable Diffusion and is adaptable to various video applications, including multi-view synthesis. In the video, it is demonstrated how this technology can take a prompted or regular photo and create a cool video output, showcasing its capability to generate videos from images of different resolutions and content.

💡Generative Video

Generative Video refers to the creation of new video content that did not previously exist. In the context of the video, Stable Video Diffusion is a generative video model, meaning it can generate new video frames based on an initial image input, effectively 'animating' the image to create a video sequence.

💡Multi-view Synthesis

Multi-view Synthesis is a process where an image is manipulated to give the impression of being viewed from multiple angles, as if it were a 3D model. The video demonstrates this by showing how an image can be turned into a sort of 3D model that can be spun around to view from different perspectives.

💡Frames

In the context of video, frames refer to the individual images that make up the video when played sequentially. The video mentions two models for Stable Video Diffusion, one for 14 frames and one for 25 frames, indicating the length of the video generation run.

💡AI Art Contest

An AI Art Contest is a competition where artists use artificial intelligence to create artwork. The video mentions an AI art contest with significant prizes, up to $113,000, which encourages participants to create and submit their AI-generated art pieces for a chance to win.

💡Workflow

A workflow in the context of the video refers to a series of steps or processes that are followed to accomplish a task, such as generating a video from an image using Stable Video Diffusion. The video provides an example of a workflow that includes loading an image, setting frames, and applying various AI models and settings to create the final video output.

💡VRAM

VRAM, or Video Random Access Memory, is the memory used by the graphics processing unit (GPU) to store image data for rendering. The video script mentions that a high VRAM capacity, such as that available with a 4090 GPU, is beneficial for handling the demands of video diffusion tasks, which can be resource-intensive.

💡Sampler

In the context of AI and machine learning, a sampler is an algorithm that is used to generate samples from a probability distribution. The video discusses different samplers and their effectiveness with Stable Diffusion, noting that 'Oiler' is a good default model for generating stable results.

💡Resolution

Resolution refers to the number of pixels in an image or video, which determines its clarity and detail. The video script discusses the challenges of using images with resolutions that the model was not specifically trained for, such as a square resolution different from the model's default aspect ratio.

💡OpenArt

OpenArt is mentioned in the video as a platform hosting a UI workflow contest and providing a library of workflows for Comfy UI. It is a resource for users to share, download, and apply various workflows to their AI-generated content creation processes.

💡Custom Nodes

Custom nodes are user-defined components in a workflow that can be installed to add specific functionality to a software application. In the video, custom nodes are mentioned as part of the process of using new workflows in Comfy UI, which may require manual installation if they are not automatically recognized by the application.

Highlights

Stable Video Diffusion is a technique that can transform still images into dynamic videos.

Developed by Stability AI, it is their first model for generative video.

The technology is adaptable to various video applications, including multi-view synthesis.

Two models are available: one for 14 frames and one for 25 frames, determining the video length.

Stable Video Diffusion outperformed or was on par with competitors in win rate comparisons.

Comfy UI has implemented Stable Video Diffusion, allowing users to download and use workflows.

The video tutorial provides a detailed guide on setting up the workflow in Comfy.

Users can load SVD models into Comfy for video generation.

Different samplers can be used for the diffusion process, with the 'Oiler' sampler being recommended.

The process can handle various image resolutions, even those not specifically trained for by the model.

For users without sufficient GPU power, cloud GPU services like Think Diffusion are suggested.

The tutorial demonstrates how to adjust motion and augmentation levels for better video results.

OpenArt is hosting a Comfy UI workflow contest with a total prize pool of up to $113,000.

The contest has multiple categories and special awards for creative workflows.

Participants can upload their Comfy UI workflows to compete in the contest.

Workflows submitted to the contest will be made available to the public on OpenArt.

The video provides instructions on how to enter the contest, including uploading a workflow and creating a thumbnail.

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