Make AMAZING AI Animation with AnimateLCM! // Civitai Vid2Vid Tutorial

Civitai
19 Feb 202425:59

TLDRTyler from cai.com introduces an advanced workflow for video style transfer using animate LCM, a technique that enhances existing videos with new visual styles through AI. The tutorial assumes prior installation of Comfy UI and familiarity with animate diff basics. It covers video uploading, resolution settings, control nets, IP image adaptation, and prompt traveling for specific frame adjustments. Tyler also discusses the use of the reactor face swapper and the importance of the right model and settings for optimal results. The workflow aims to help users create engaging videos for social media and other platforms.

Takeaways

  • 🎥 The video outlines an animate LCM video to video workflow for creating stylized UI animations using AI.
  • 💡 The workflow requires at least 10 GB of VRAM, and users with less should proceed with caution.
  • 🌟 The process involves style transfer to an existing video using either prompts or reference images.
  • 🖼️ Users can utilize face swapping features to change the subject's face or impose another's face onto the subject.
  • 📌 The tutorial assumes prior installation of Comfy UI and familiarity with animate diff basics.
  • 🔗 Links to resources for learning animate diff, animate LCM, and Comfy UI installation are provided in the video description.
  • 🎞️ The workflow is designed to be simple, with color-coded and numbered groups for ease of use.
  • 📷 Reference images can be uploaded into the IP (Image Prompt) adapter for style guidance.
  • 🎨 Control nets like line art, soft edge, depth, and open pose can be used to refine the animation.
  • 🔄 Prompt traveling allows for specific frame adjustments, such as changing a prop to a cat at a certain frame.
  • ⚙️ Settings like sampler, highres fix (upcaler), and face swapper offer additional customization options.

Q & A

  • What is the main purpose of the workflow discussed in the video?

    -The main purpose of the workflow is to allow users to perform a complete style transfer on an existing video using either text prompts or reference images from the IP adapter, with the help of Animate Diff and Comfy UI.

  • What are the minimum system requirements for this workflow?

    -The workflow requires at least 10 GB of VRAM. Users with less than that should use it at their own risk and might need to find workarounds.

  • What is the role of the 'video Source SL' group in the workflow?

    -The 'video Source SL' group is responsible for loading the video that will be processed, setting the resolution and aspect ratio, and selecting the number of frames to be rendered.

  • What is the significance of the 'model SL animate diff loader' group?

    -The 'model SL animate diff loader' group is where the Animate Diff motion model is chosen, and it also determines the V and other Animate Diff options for the render.

  • How does the 'control Nets' group function in the workflow?

    -The 'control Nets' group includes various control nets like line art, soft edge, depth, and open pose, which can be enabled or disabled based on the user's preference to influence the style and quality of the animation.

  • What is the IP image adapter used for in the workflow?

    -The IP image adapter is used to feed reference images into the system, which the Animate Diff model will then use to build the animation in the style of the provided images.

  • How can users add prompts to the workflow?

    -Users can add prompts through the 'prompt green box' where they can specify frame numbers, use syntax for prompt traveling, and input positive or negative prompts to guide the animation.

  • What is the role of the 'K sampler' and 'highres fix' in the workflow?

    -The 'K sampler' is used to determine the steps and CFG values for the Animate LCM workflow, while the 'highres fix' or upscaler is used to enhance the resolution of the output video.

  • What is the Reactor face swapper used for?

    -The Reactor face swapper is used to replace the subject's face in the animation with an image of another face, although it is noted that some users may have difficulties installing this part of the workflow.

  • How can users share their creations made with this workflow?

    -Users can share their creations by tagging 'hello Civ' on social media platforms, allowing the community to view and share their videos made using the Animate LCM vidto vid workflow.

  • Where can users find the Animate LCM vidto vid workflow for download?

    -The Animate LCM vidto vid workflow can be downloaded from the speaker's profile on cai.com, with the link provided in the video description.

Outlines

00:00

🎬 Introduction to Animate LCM Video to Video Workflow

This paragraph introduces the video tutorial by Tyler from cai.com, focusing on the Animate LCM (Live Cycle Model) video to video workflow. It explains that the workflow allows users to perform style transfer on existing videos using either text prompts or reference images from the IP adapter. The workflow also includes a high res fix for upscaling and a face swapper feature. Tyler notes that the workflow requires at least 10GB of VRAM and provides a warning for users with less. He also gives a shoutout to community members Sir Spence and PES Flows for their contributions and provides Instagram handles for them.

05:01

📏 Configuring Video Upload and Resolution Settings

In this paragraph, Tyler explains the process of configuring the video upload and resolution settings within the workflow. He details the use of frame load cap, skip first frames, and select every 'in' settings for controlling the rendering process. Tyler also discusses the importance of aspect ratio and resolution, sharing his preference for vertical format and a 9x6 aspect ratio. He mentions the upscale image node and the use of the Laura stacker, model strength, and clip strength for achieving desired results.

10:02

🚀 Setting Up the Animate Diff Model and Controls

Tyler delves into the specifics of setting up the Animate Diff model and controls in this paragraph. He emphasizes the need for the Animate LCM motion model and provides a link to it in the description. He also discusses the use of different control nets such as line art, soft edge, depth, and open pose, and how to enable or disable them. The paragraph covers the importance of having the correct models downloaded and installed for control nets to function properly.

15:05

🖼️ Utilizing the IP Adapter for Style Transfer

This section focuses on the use of the IP (Image Prompt) adapter for style transfer in the workflow. Tyler explains how to use reference images to guide the animation style, detailing the process of uploading images and using the crop position selector to focus on specific parts of the image. He discusses the weights for the IP adapter and the importance of finding the right balance for the style transfer. The paragraph also touches on the need for the IP adapter plus stable diffusion 1.5 bin file and the sd15 pytorch model bin for the clip vision folder.

20:06

🎯 Prompt Travel and Prompt Scheduling

Tyler introduces the concept of prompt traveling and prompt scheduling in this paragraph. He explains how to use positive prompts and provides syntax for inserting prompts at specific frames. The paragraph covers the use of pretext and batch prompt scheduler, emphasizing the order in which prompts are executed. It also mentions the importance of avoiding syntax errors and the impact of prompt traveling on the overall video output.

25:07

🔄 K Sampler, Upscaling, and Face Swapping

This paragraph discusses the K sampler and highres fix (upcaler) settings within the workflow. Tyler explains the importance of configuring the right mixture of CFG (Control Flow Graph) and steps for the Animate LCM workflow. He provides his recommended settings for the best results and discusses the use of the stable seed for consistency. The paragraph also touches on the reactor face swapper feature and its installation challenges, offering advice for users experiencing difficulties.

🎥 Output and Preview Gallery

In the final paragraph, Tyler talks about the output settings and the preview gallery within the workflow. He shares his recommended frame rate for the video combine node and demonstrates the final output of the video. Tyler encourages viewers to download the workflow from his cai.com profile and to share their creations using the hashtag #helloCivi on social media. He concludes the tutorial by inviting viewers to join him on a future Twitch stream and reiterates the importance of exploring and iterating on the workflow to achieve the best results.

Mindmap

Keywords

💡animate LCM

Animate LCM refers to a specific type of motion model used in the video editing process described in the script. It stands for 'Animate Latent Code Motion' and is utilized to render animations or enhance video content by applying motion and style transfers. In the context of the video, the animate LCM workflow is used to take an existing video and apply a complete style transfer to it, which means changing the visual aesthetic of the video while maintaining its motion and fluidity. The script mentions the need to download the animate LCM motion model for the workflow to function properly.

💡style transfer

Style transfer is a technique used in image and video processing to change the style of the visual content while preserving its original structure and content. In the context of the video, style transfer is applied to an existing video using the animate LCM workflow. This allows the user to transform the visual appearance of the video, for example, by applying the style of a particular artwork or image to the video, making it look as though it was created with a different aesthetic while still retaining its original motion and movement.

💡control nets

Control nets are a set of tools or models used in the video editing process to influence and guide the output of the animation or rendering. They can be used to adjust specific aspects of the video, such as the edges, depth, or pose of the subjects within the video. In the script, control nets like line art, soft edge, depth, and open pose are mentioned as part of the workflow, which allows the user to fine-tune the visual elements of the video according to their preferences.

💡IP adapter

The IP adapter, or Image Prompt adapter, is a tool used in the video editing process to incorporate reference images into the animation. It allows the user to feed specific images into the system, which the animation will then try to emulate or incorporate into the final video. This can be used to maintain a consistent style or to introduce new elements into the animation based on the reference images provided.

💡highres fix

Highres fix, also known as an upscaler, is a process or tool used to increase the resolution of a video. In the context of the video, it is used to enhance the quality of the output video by increasing its pixel dimensions. This is particularly useful when starting with a lower resolution video and wanting to achieve a higher resolution output, such as 1080p, for better quality and detail.

💡face swapper

Face swapper is a tool or technique used to replace or modify the facial features of a subject in a video with another face, often from a different image. This can be used for various purposes, such as maintaining the original subject's face, adding a new face, or creating composite characters. In the video, the face swapper is mentioned as an optional component of the workflow, which can be used to change the face of the subject in the animation.

💡prompt traveling

Prompt traveling is a technique used in the context of the video to change or introduce new elements into the animation at specific frames. It involves writing a specific command that tells the system to switch to a different prompt or style at a particular frame number. This allows for dynamic changes in the animation, such as introducing a new character or object at a certain point in the video.

💡VRAM

VRAM, or Video RAM, is a type of memory used to store image data that is being processed by a graphics processing unit (GPU). In the context of the video, VRAM is crucial for handling the computationally intensive tasks of the animate LCM workflow. The script mentions that at least 10 GB of VRAM is required for the workflow, indicating the high computational demands of the process.

💡Comfy UI

Comfy UI is a user interface or software platform mentioned in the script that is used for video editing and processing. It provides a workspace where users can load and manipulate various nodes and tools to create their desired video outputs. The script assumes that the audience has Comfy UI installed and is familiar with its basic functions, as it focuses on a specific workflow within the platform.

💡prompt

In the context of the video, a prompt is a command or a set of instructions given to the system to guide the generation or transformation of the video content. Prompts can include specific descriptions, styles, or elements that the user wants to incorporate into the video. They are used to communicate the user's creative intentions to the system, which then attempts to reflect those intentions in the output video.

Highlights

Introducing the animate LCM video to video workflow for creating stylized videos using AI.

The workflow allows for style transfer onto existing videos through prompting or reference images.

High-resolution upscaling is possible with the workflow, enhancing video quality.

The use of control nets such as line art, soft edge, depth, and open pose for additional stylization options.

The integration of the IP adapter for incorporating reference images into the animation style.

The ability to change prompts at specific frames for dynamic content creation.

The use of the highres fix (upcaler) to improve the resolution of the output video.

The recommendation to use a stable seed for consistent animation results.

The option to use the reactor face swapper for customizing character faces in the animation.

The importance of using the correct motion model (animate LCM motion model) for this specific workflow.

The tutorial assumes prior installation of comfy UI and basic knowledge of animate diff.

The need for at least 10 GB of VRAM for optimal performance with this workflow.

The inclusion of links to additional resources for learning about comfy UI, animate diff, and the LCM workflow.

The process of selecting and uploading videos, setting resolution, and choosing control nets.

The tutorial provides a step-by-step guide on how to use the workflow effectively.

The workflow's potential for creating engaging social media content or other creative projects.

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