Stable Video Diffusion - RELEASED! - Local Install Guide
TLDRThis video tutorial introduces viewers to Stable AI's new models for image-to-video rendering, offering a step-by-step guide on how to run the process on a personal computer. The host emphasizes the importance of installing the necessary software, specifically COMI, and provides links to resources and a Google Drive folder for easy access. The video showcases the potential of Stable AI's models, which can be adapted for various tasks, and suggests trying out the demo on Replicate.com for a hands-on experience. The workflow involves downloading specific models from Hugging Face, setting up the COMI manager, and adjusting parameters such as motion bucket and augmentation level to achieve desired video effects. The tutorial concludes with tips on selecting suitable images for the best results and expresses excitement over the technology's capabilities.
Takeaways
- 🚀 Stability AI has released two new models for image to video rendering.
- 🔧 To run the models, you need to install the comi UI manager extension.
- 🔗 The workflow for using the models is hosted on Google Drive for easy access.
- 📁 Download the two models from Hugging Face: SVD and SVD image decoder.
- 📸 The input image resolution should be 576x124 or vice versa.
- 📹 Choose between 14 or 25 frames for the video output.
- 🎥 The motion bucket defines the speed of motion in the video.
- 🔄 The augmentation level determines the level of animation in the video.
- 🔄 Experiment with the CFG scale for different rendering results.
- 📁 The workflow is designed for simpler images with less complex action.
- 🌐 The models run locally on your computer, offering fast rendering without text input or masking adjustments.
Q & A
What are the two new models released by Stability AI for image to video rendering?
-The two new models released by Stability AI are SVD (Stable Video Diffusion) and SVD Image Decoder, both designed for image to video rendering.
What is the purpose of the workflow shared by the user in the video?
-The purpose of the workflow is to provide a step-by-step guide on how to run the Stability AI models on a personal computer for image to video rendering without the need for external services.
Where can one find the workflow hosted by the user?
-The user has hosted the workflow on their Google Drive, and a link to it is provided in the video description.
What is the significance of the video model mentioned by Stability AI?
-The video model can be adapted to various downstream tasks, including multi-view synthesis from a single image with fine-tuning on multi-view datasets, and Stability AI has big plans for its development.
How can one sign up for the waiting list for Stability AI's video model?
-One can sign up for the waiting list by scrolling a little lower in the Stability AI announcement and providing their information.
What is the alternative method for using Stability AI's video model without installing anything?
-An alternative method is to use the demo on replicate.com, where users can upload an image and click 'run' to create a video without any installations.
Which two files are required to be downloaded from Hugging Face for the workflow?
-The two required files are SVD and SVD Image Decoder, which are used for the image to video rendering process.
What is the importance of the comi UI manager extension for running the workflow?
-The comi UI manager extension is crucial for managing custom nodes and ensuring that the workflow runs smoothly on the user's computer.
What resolution should the input image have for the workflow?
-The input image should have a resolution of 576 by 124 or vice versa, as specified in the workflow.
How does the 'motion bucket' parameter in the workflow affect the video?
-The 'motion bucket' parameter defines how quickly the motion happens within the video, affecting the speed and fluidity of the animation.
What is the recommended approach for selecting images to use with the Stability AI video model?
-It is recommended to use simpler images with not too complex action, such as a rocket starting or a train moving along tracks, for better results.
Outlines
🚀 Introduction to Stable Video Diffusion
The video begins with an introduction to Stable AI's new models for image to video rendering. The host plans to demonstrate a workflow for running these models on a computer using a tool called comi. The video also acknowledges the contribution of Enigmatic E, who has built the workflow, and provides a link to his video. The host mentions hosting the workflow on Google Drive for easy access and encourages viewers to share their favorite AI video rendering methods in the comments. The video then transitions to discussing the capabilities of the new video model by Stable AI, which can be adapted for various downstream tasks, including multi-view synthesis from a single image. The host also provides a link to sign up for the waiting list and suggests trying out the models immediately using Replicate tocom, a platform that allows users to upload an image and generate a video without needing to run comi.
🛠️ Setting Up the Workflow
The host guides viewers through the process of setting up the workflow for Stable Video Diffusion. This includes installing the comi UI manager extension, cloning the repository, and updating comi to the latest version. The workflow involves downloading two models from Hugging Face, SVD and SVD image decoder, which differ in the number of frames they support. The host explains how to load the workflow in comi, install missing custom nodes, and adjust settings such as the motion bucket, frames per second, and augmentation level. The video also provides tips on using simpler images with less complex action for better results and mentions that the workflow is designed to run on a local system for faster rendering.
Mindmap
Keywords
💡Stable Video Diffusion
💡Comi
💡Workflow
💡Hugging Face
💡Image Resolution
💡Motion Bucket
💡Augmentation Level
💡CFG Scale
💡Render
💡Local System
💡Simplicity in Images
Highlights
Stability AI has released two new models for image to video rendering.
The workflow for running the models on your computer is explained in the video.
Enigmatic E has built a workflow that is linked in the video description.
The video model can be adapted to various downstream tasks, including multi-view synthesis from a single image.
Stability AI is planning a variety of models built on and extending the base similar to the stable diffusion ecosystem.
Multi-view synthesis examples are showcased in the video.
A waiting list is available for signing up, but the video shows how to use the models without waiting.
Replicate.com offers a demo where users can upload an image and create a video.
To use the models, download them from the Hugging Face page.
Install the COMI UI manager extension for the workflow.
After installing the manager, update all and load the workflow.
Install missing custom nodes if there are red boxes in the workflow.
The workflow requires specific image resolution (576x124 or 124x576).
Adjust the number of video frames (14 or 25), motion bucket, and augmentation level.
The motion bucket defines the speed of motion in the video.
The augmentation level determines the level of animation in the background and details.
The workflow is automatic, and the video can be saved by right-clicking and saving the preview.
The AI figures out the movement from a simple image input.
Using simpler images with less complex action yields better results.
