Have TOTAL CONTROL with this AI Animation Workflow in AnimateLCM! // Civitai Vid2Vid Tutorial Stream
TLDRIn this engaging tutorial stream, Tyler from Civitai demonstrates a new AI animation workflow using AnimateLCM, which offers total control over the animation process. The stream covers the differences between AnimateLCM and Animate Diff V3 workflows, emphasizing the former's faster generation times suitable for live demonstrations. Tyler guides viewers through setting up the workflow, including the use of control nets, IP adapters, and the importance of alpha masks for subject and background isolation. He also addresses the installation of the Reactor face swapper and the use of various models to enhance video quality. The tutorial is interactive, with Tyler inviting audience participation by requesting character and background images to create unique AI animations. He concludes by showcasing the results of the AnimateLCM workflow and comparing it with Animate Diff V3, highlighting the strengths of each method.
Takeaways
- π Tyler from Civitai shares a tutorial on AI animation workflows using AnimateLCM and Animate Diff V3.
- π Two workflows are introduced, one based on Animate LCM and the other on Animate Diff V3, each suited for different VRAM capacities.
- π Animate LCM is recommended for users with limited VRAM, offering faster generation times.
- π¨ Quality differences are noted between the two workflows, with Animate Diff V3 providing higher quality if VRAM allows.
- πΎ The tutorial includes a detailed walkthrough of the workflow, including setting up the UI and using control nets.
- πΌοΈ The importance of IP adapters and alpha masks for subject and background isolation is emphasized.
- π Specific model recommendations are given, such as the Photon LCM model and the stable diffusion 1.5 LCM Laura.
- π₯ The video demonstrates the process of combining characters and backgrounds, showcasing the power of AI animation.
- π‘ Tips on optimizing VRAM usage and workflow settings are provided for better performance.
- π’ Tyler announces a new streaming schedule with guest streams featuring different talents from the AI and creative communities.
- π The tutorial aims to empower users to create unique animations by understanding and utilizing the AI workflows effectively.
Q & A
What is the main topic of the tutorial stream presented by Tyler?
-The main topic of the tutorial stream is an introduction and walkthrough of new AI animation workflows in AnimateLCM, specifically focusing on the differences between Animate LCM and Animate Diff V3 workflows.
Why would someone choose to use the LCM workflow over the V3 workflow?
-One would choose the LCM workflow over the V3 workflow if they are limited on VRAM and not working with a high amount of VRAM, as the LCM workflow generates animations faster and is less demanding on system resources.
What is the benefit of using a Photon LCM model in the LCM workflow?
-The Photon LCM model is beneficial because it integrates well with the LCM workflow, allowing for lower CFG settings which in turn enables faster generation times while maintaining quality.
How does Tyler suggest users control the character and background separation in the animation?
-Tyler suggests using two separate IP adapters, one for the subject (character) and one for the background. He also recommends using an alpha mask to achieve better subject-background separation.
What is the role of the 'Animate Diff Motion Lauras' in the workflow?
-The 'Animate Diff Motion Lauras' are used to add motion effects to the animation. They can be adjusted for strength and are particularly useful when specific motion effects are desired for certain parts of the video.
What is the purpose of the 'fast bypassers' in the control nets?
-The 'fast bypassers' allow users to quickly toggle on and off the control nets they want to use in their video, providing a more efficient way to manage and test different combinations of control nets.
How does Tyler handle the issue of CUDA errors during the upscale process?
-To avoid CUDA errors, Tyler suggests switching the upscaler to bilinear and reducing the upscale value to 1.5, which allows for a clean render without causing system strain.
What are the system requirements for installing the Reactor face swapper node?
-To install the Reactor face swapper node, users need to have Visual Studio Code 2022 or later and C++ installed on their system.
What is the recommended approach for managing output files in the workflow?
-Tyler recommends installing Mikey nodes from the Comfy UI manager, which allows for easy saving of outputs into custom folders in the output directory, helping to keep the file organization tidy.
How does Tyler ensure the quality of the upscaled video?
-Tyler uses a combination of the workflow's built-in upscaler and additional post-processing in Topaz or a similar tool to achieve a high-quality upscale to full 1080p resolution suitable for social media.
What is the significance of the 'negative prompt' in the workflow?
-The 'negative prompt' is used to specify elements or characteristics that the user does not want to see in the final video, helping to refine and control the output of the AI animation.
Outlines
π Introduction to the Tutorial
Tyler introduces himself as the host of 'Civii Office Hours', responsible for AI animation and video at Civii, as well as managing their social media. He announces a special tutorial on new animate diff workflows released on his Civii profile, which are designed for different versions of animate diff. He provides links to these resources in the chat and outlines the workflow, emphasizing the need for an alpha mask for the subject and the option to use either the LCM or V3 workflow based on VRAM availability.
π Walkthrough of the Workflow
Tyler provides a step-by-step guide through the workflow, explaining the purpose of each section and the importance of organization and simplicity. He discusses the video source, resolution, and frame load cap, as well as the use of the Photon LCM model and the stable diffusion 1.5 LCM Laura for efficient rendering. He also covers the use of control nets, such as depth and open pose, and their impact on the final video's motion and style.
π¨ Customizing the IP Adapters
The tutorial delves into the customization of IP adapters, emphasizing the use of two separate adapters for the subject and background. Tyler explains the process of uploading an alpha mask and how it affects the style of the character in the video. He also discusses the use of different models for the IP adapter and the importance of the aspect ratio in the mask and original video.
π Navigating the Comfy UI
Tyler addresses potential issues with the Comfy UI, such as the workflow appearing grayed out upon initial load. He advises users to zoom out to locate the workflow and offers tips for organizing nodes within the UI. He also provides guidance on using the video combine node and installing necessary nodes for custom folder outputs.
π High-Resolution Fixes and Upscaling
The discussion moves to the highres fix and upscaling process within the workflow. Tyler shares his preference for using the NN latent upscaler for its denoising capabilities but cautions about potential Cuda errors when handling high frame counts. He suggests using the bilinear upscaler as an alternative to avoid such errors and mentions the use of Topaz for final upscaling touches.
π€ Reactor Face Swapper and Mikey Nodes
Tyler covers the installation and use of the Reactor face swapper, noting the prerequisites of Visual Studio Code and C++ for its installation. He also discusses the Mikey nodes for organized output directories and the process of connecting the file name prefix node to the video combine node for custom folder naming.
π§ Finalizing the Workflow
The final steps in the workflow are explained, including the use of the upscaler and the importance of adjusting settings to avoid Cuda errors when working with limited VRAM. Tyler also discusses the use of the K sampler and the significance of the CFG value in achieving fast generations with the LCM model.
π Showcasing the Power of AI
Tyler demonstrates the power of AI by creating unique combinations of characters and backgrounds, showcasing the strength of the double IP adapter in separating character and background elements. He emphasizes the importance of high-quality images and interesting textures for better results and invites audience participation by requesting character and background image suggestions.
π VRAM Usage and Performance
The tutorial concludes with a discussion on VRAM usage, noting that the workflow can reach up to 16GB of VRAM during the upscaler phase. Tyler shares his approach to managing VRAM, such as adjusting the upscale Buy number or the low resolution dimensions. He also addresses the importance of using the right prompt to guide the AI in generating the desired output.
π Wrapping Up and Future Streams
Tyler wraps up the tutorial by expressing his excitement about the workflows and their impact on his creative process. He provides links to both the LCM and V3 workflows and invites viewers to share their creations on social media. He also announces the addition of a fifth streaming day featuring guest streams with experts in various fields, starting with a prompting specialist.
π Final Summary and Next Steps
In the final paragraph, Tyler summarizes the key points of the tutorial and encourages viewers to experiment with the workflows. He provides a direct link to the LCM workflow and the V3 workflow, and shares his personal preference for the LCM version in certain cases. He also reminds viewers to download necessary models and create an alpha mask for their videos. Tyler concludes by thanking the audience for their participation and looking forward to their future creations.
Mindmap
Keywords
π‘AI Animation
π‘AnimateLCM
π‘VRAM
π‘Control Nets
π‘IP Adapter
π‘Alpha Mask
π‘Highres Fix
π‘Prompt
π‘Reactor Face Swapper
π‘CFG (Config)
π‘Upscale
Highlights
Tyler introduces two new AI animation workflows based on Animate LCM and Animate Diff V3.
The LCM workflow is designed for users with limited VRAM, offering faster generation times.
Animate Diff V3 provides higher quality output with more available VRAM.
The tutorial covers the differences in quality and control between the two workflows.
The importance of using the correct model and settings for optimal results is emphasized.
Control Nets like Depth and Open Pose are discussed for their role in refining animations.
The use of dual IP adapters for subject and background isolation is a key feature of the workflow.
Alpha masks are required for the workflow, and methods to generate them are suggested.
The process of connecting nodes for custom directory output is demonstrated.
The reactor face swapper's installation process is clarified, requiring Visual Studio Code and C++.
The significance of the CFG setting in relation to the LCM model is explained.
Upscaling techniques for social media are discussed, including the use of Topaz for final touches.
The impact of VRAM on the workflow's performance and output is highlighted.
A live demonstration of the workflow's effectiveness with various character and background combinations.
The upcoming schedule of guest streams featuring different AI animation experts is announced.
The power of AI in creating detailed and unique animations, such as a cat skateboarding in a vintage park, is showcased.
Final thoughts on the flexibility and potential of the workflows for various creative projects are shared.