Vase is a groundbreaking control net model for AI video generation that offers unprecedented control and capabilities. With Vase, you can apply movement from a reference video to an image, creating a new video that seamlessly blends the two.

The key features of Vase include:

• Full Control: Vase allows you to control various aspects of the video generation, including camera movement, pose, depth, and edge information.
• Faster Generation: Vase utilizes a game-changing LORA called Covid, which can generate videos up to 4 times faster than before, all running locally on your computer.
• Versatility: Vase can be used to apply human movements to various characters and objects, enabling you to create dynamic and engaging videos.
• Ease of Use: The provided workflow makes Vase simple to use, with intuitive controls and options to fine-tune your video generations.

To get started with Vase, you can download the pre-configured workflow from the provided links. Once installed, you can easily experiment with different reference videos and images to create your own unique AI-generated videos. The process is straightforward, and the results are truly impressive, showcasing the power of this cutting-edge technology.

To install and use the Vase workflow, follow these steps:

1. If you are a Patreon supporter, download the 1K installer file and double-click it. The installer will guide you through the process based on your GPU's VRAM.

2. If you already have a previous Confui installation, you can simply use the models node install.bat file. Place the file inside Confui and run it to automatically install the missing nodes and models.

3. Make sure to update Confui to the latest version using the Confui manager or the update folder's batch file.

4. Download the special Vase workflow from the Patreon post and drag-and-drop it inside Confui.

5. To use the workflow, activate the provided nodes on the left side. Input your video reference, the image reference, and adjust the settings as needed.

6. The workflow provides various control net groups (OpenPose, Depth, Canny Edge) that you can use individually or in combination to generate the final video.

7. Experiment with the number of steps, the Covidlora strength, and other settings to find the best balance between quality and generation speed.

8. If you don't have a powerful GPU, you can rent one on a platform like RunPod and run the workflow as if it was on your local computer.

9. For any questions or support, reach out to the Patreon community or the creator directly.

Enjoy the power of the Vase workflow and the incredible control it provides over AI video generation!

The Vase workflow provides a powerful set of tools for generating AI-driven videos, but there are several customization options to consider for achieving the best results:

1. Model Selection: Choose the appropriate model based on your GPU's VRAM. The workflow provides options for GPUs with less than 12GB, between 12-16GB, and more than 16GB of VRAM.

2. CoVid Lora: This special Lora can significantly improve the speed and quality of your video generations. The recommended strength is between 0.7 and 0.75, with higher values providing better movement but potentially more flickering.

3. Step Count: While the workflow suggests 10-15 steps as the sweet spot, you can experiment with lower step counts like 4 or 6 to generate videos more quickly, especially for simpler scenes.

4. Video Length and Resolution: Adjust the length (number of frames) and resolution (width and height) to match your desired output. Consider the aspect ratio of your reference image or video.

5. Background Removal: The workflow provides an option to remove the background of the reference image, allowing for a more dynamic and integrated final video.

6. Control Net Groups: Experiment with the different control net groups (OpenPose, Depth, Canny Edge) to see which one or combination works best for your specific use case.

7. Video Upscaling and Interpolation: Leverage the built-in upscaling and interpolation tools to enhance the resolution and frame rate of your final video.

By exploring these customization options, you can fine-tune the Vase workflow to achieve the best possible results for your AI-generated video projects.

If you don't have a powerful GPU on your local machine, you can leverage cloud-based GPU resources to run the Confui and Vase workflows more efficiently. One option is to use a service like RunPod, which allows you to rent GPU instances on-demand.

To get started, you'll need to create a RunPod account. Once you have an account, you can deploy a GPU-powered pod with at least 24GB of VRAM, such as the NVIDIA 4090. After deploying the pod, you'll need to change the container disk size from 10GB to 80GB to accommodate the Confui and Vase installation.

Next, you'll need to connect to the Jupyter Lab interface provided by RunPod. From there, you can follow the same installation process as on your local machine, using the one-click installer provided for Patreon supporters. This will automatically download and install the necessary nodes and models.

Once the installation is complete, you can update Confui to the latest version and then use the Vase workflow as you would on your local machine. The advantage of using RunPod is that you can leverage the powerful GPU resources to generate videos much faster than on a typical home computer.

Remember, as a Patreon supporter, you have access to priority support, so if you have any questions or issues, don't hesitate to reach out to the creator for assistance.

Vase is a powerful control net model for AI video generation that offers unprecedented control and flexibility. With its ability to apply movement from a reference video to an image, users can create unique and dynamic video content with ease. The workflow provided in the transcript demonstrates the versatility of Vase, allowing users to experiment with different control net groups, adjust parameters, and even leverage cloud-based GPU resources for faster generation.

The key highlights of Vase include:

• Seamless integration with Stable Diffusion's Conditional Diffusion framework, enabling users to harness the power of state-of-the-art AI video generation.
• Intuitive workflow with customizable settings, allowing users to fine-tune the output to their preferences.
• Support for various control net groups, including open pose, depth, and Canny edge, providing diverse options for video generation.
• Efficient performance, with the ability to generate high-quality videos in under a minute, even on local hardware.
• Compatibility with cloud-based GPU resources, enabling users without powerful GPUs to leverage Vase's capabilities.

Overall, Vase represents a significant advancement in AI video generation, empowering users to create captivating and visually stunning videos with unprecedented control and creativity.