Make AMAZING AI Animation with AnimateLCM! // Civitai Vid2Vid Tutorial
TLDRTyler from cai.com presents a tutorial on using the animate LCM video to video workflow for creating stylized UI animations. The workflow allows for style transfer onto existing videos using either prompts or reference images. It requires at least 10 GB of VRAM and includes features like face swapping and upscaling. Tyler provides detailed steps and settings, recommending specific models and control nets for optimal results. The tutorial is designed for those familiar with comfy UI and animate diff basics, with links provided for further learning. Tyler also discusses the use of control nets, the IP image adapter for reference images, and prompt traveling for specific frame alterations. The workflow aims to simplify the process of creating engaging and smooth animations for various applications.
Takeaways
- 🎥 The video tutorial introduces an animate LCM video to video workflow for creating stylized UI animations using AI.
- 💻 This workflow requires at least 10 GB of VRAM, and users with less should proceed with caution.
- 🌐 The tutorial assumes prior installation of Comfy UI and familiarity with basic animate diff concepts.
- 🔗 Helpful links for Comfy UI installation and animate diff basics are provided in the video description.
- 🎨 The workflow is designed to be simple, with color-coded and numbered groups for easy navigation.
- 📷 Users can upload a video, adjust frame load cap, skip first frames, and select every frame for rendering.
- 📐 The base resolution can be set according to the user's preference, with the option to upscale the image for higher quality.
- 👤 The Laura stacker allows users to select different models and adjust model and clip strength for the desired effect.
- 🚀 The workflow utilizes the animate LCM motion model, which can be downloaded from a provided link.
- 🎨 Control Nets such as line art, soft edge, depth, and open pose can be enabled or disabled based on user preference.
- 🖼️ The IP image adapter uses reference images to guide the style of the animation, with options to crop and focus on specific parts of the images.
- ✨ The final output showcases the combined effects of the workflow, with the ability to loop the animation and preview different versions.
Q & A
What is the main purpose of the workflow described in the video?
-The main purpose of the workflow is to allow users to perform a complete style transfer to an existing video using either text prompts or reference images from the IP adapter.
What are the minimum system requirements for this workflow?
-The workflow requires at least 10 GB of VRAM, and if the user has less, they 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 where users load their video, set the resolution, aspect ratio, and choose the Laura stacker for the animation.
What is the significance of the 'model SL animate diff loader' group?
-The 'model SL animate diff loader' group is where users select the model or checkpoint for rendering and adjust settings like V and animate diff options.
How many control nets are included in the workflow and what are some examples?
-There are five control nets in the workflow, including line art, soft edge, depth, open pose, and QR code monster/slash control GI.
What is the function of the IP (Image Prompt) adapter in the workflow?
-The IP adapter is used to feed reference images into the system, which the workflow then uses to build the animation in the style of the provided images.
What is the syntax for prompt traveling in the workflow?
-The syntax for prompt traveling is to use quotation marks for the frame number, a semicolon, a space, quotation marks for the prompt, and commas to separate different tokens. There should be no comma at the end if it's the last prompt.
What are the recommended settings for the K sampler and highres fix (upcaler)?
-For the K sampler, it is recommended to use a CFG of between 1 to 2 with steps of 8 to 12, and the sampler should be set to LCM with the scheduler as SGM uniform. The highres fix script is set to upscale the video from 512x896 to 768x1344.
What is the reactor face swapper used for in the workflow?
-The reactor face swapper is used to replace the subject's face in the video with an image of another face that the user uploads.
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.
Where can users download the animate LCM vidto vid workflow?
-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
🎬 Introduction to Animate LCM Video to Video Workflow
This paragraph introduces the video, highlighting theAnimate LCM video to video workflow designed for style transfer onto existing videos using either text prompts or reference images. The workflow is detailed as requiring at least 10GB of VRAM and mentions the inclusion of a high res fix for upscaling and a face swapper for altering subject's faces. The video also acknowledges contributions from community members, Sir Spence and PES Flows, and provides a brief overview of the workflow's setup and capabilities.
📏 Configuring Video Upload and Resolution Settings
The second paragraph delves into the specifics of configuring the video upload node, discussing frame load cap, skip first frames, and select every 'in' as key parameters for controlling the rendering process. It also covers setting the base resolution and aspect ratio, with a preference for vertical format suitable for social media. The paragraph further explains the role of the upsample image node and the use of the Laura stacker, emphasizing the importance of adjusting model strength and clip strength for optimal results.
🚀 Understanding the Animate Diff Model Loader
This section focuses on the Animate Diff model loader, emphasizing the need for the Animate LCM motion model, which is different from standard Animate Diff V2 or V3 workflows. It mentions the importance of downloading the correct model and provides resources for further learning. The paragraph also discusses the use of a specific model trained by a community member, the photon LCM model, and its compatibility with the workflow. It touches on the use of control nets and the need to have them installed and configured properly.
🖼️ Utilizing the IP Adapter for Style Transfer
The fourth paragraph explains the IP (Image Prompt) adapter, which uses reference images to guide the style transfer process. It details how to upload and crop images for the IP adapter and the importance of selecting the right images to achieve the desired style. The paragraph also covers the weights and settings for the IP adapter, highlighting the flexibility of pushing the IP adapter harder in the LCM workflow. It provides guidance on using the crop position selector and the significance of the weights for applying the IP adapter effectively.
🎯 Fine-Tuning with Prompts and Control Nets
This paragraph discusses the intricacies of using positive and negative prompts to refine the output video. It explains the syntax for prompt traveling, the use of the pretext prompt box, and the importance of structuring prompts correctly to avoid errors. The paragraph also covers the use of control nets, such as line art, soft edge, depth, and open pose, and the need to experiment with their values to achieve the best results. It emphasizes the importance of understanding the impact of control nets on the final output and the necessity of having the appropriate models installed.
🔄 Adjusting Sampler Settings and Upscaling
The sixth paragraph focuses on the technical aspects of the workflow, particularly the sampler settings and the upscaling process. It discusses the importance of configuring the case sampler with the right CFG (Control Flow Graph) and steps for the LCM workflow, as well as the significance of the sampler type and scheduler settings. The paragraph also explains the role of the highres fix script in upscaling the video to a higher resolution and provides specific settings that have yielded successful results. It encourages experimentation with these settings to achieve the desired video quality.
🎭 Reactor Face Swapper and Video Output
This section covers the reactor face swapper, a tool for altering the subject's face in the video. It provides instructions on how to use the tool and cautions about potential installation issues. The paragraph then moves on to discuss the video combine node, which is responsible for the final output. It describes the process of setting the frame rate and achieving a looping video. The paragraph concludes with a mention of the preview gallery, a tool for comparing different versions of the video during the iterative process.
📢 Conclusion and Call to Action
The final paragraph wraps up the video by encouraging viewers to download and use the Animate LCM vidto vid workflow, available on the creator's cai.com profile. It calls for viewers to share their creations using the hashtag #helloCivi on social media and expresses gratitude for the viewership. The video ends with a sign-off from the host, Tyler, and a reminder to follow the platform on all social media channels.
Mindmap
Keywords
💡animate LCM
💡style transfer
💡control nets
💡IP adapter
💡highres fix
💡face swapper
💡prompt traveling
💡VRAM
💡Comfy UI
💡workflow
💡prompt
Highlights
Introducing the animate LCM video to video workflow for creating stylized videos using AI.
The workflow allows for style transfer onto existing videos using either text prompts or reference images.
High-resolution upscaling is possible with the workflow, enhancing video quality.
The workflow integrates face swapping capabilities to customize the subject's face in the video.
At least 10 GB of VRAM is required for optimal use of the workflow.
The tutorial assumes prior installation of Comfy UI and familiarity with animate diff basics.
The workflow is designed to be simple and straightforward, with color-coded and numbered groups for ease of use.
The video source node allows for control over frame load cap, skip first frames, and select every frame settings.
The resolution nodes and upscale image node facilitate adjustments for base resolution and upscaling.
The Laura stacker provides options for selecting different models and adjusting model and clip strengths.
The animate diff motion model loader is crucial for the workflow, requiring a specific LCM motion model for optimal results.
Control nets can be utilized for additional stylistic elements like line art, soft edge, depth, and open pose.
The IP image adapter uses reference images to guide the style of the animation.
Prompt traveling allows for specific frame-by-frame changes in the video, such as switching to a cat at a certain frame.
The K sampler and highres fix nodes are essential for achieving high-quality upscaled videos.
The reactor face swapper provides an additional layer of customization by changing the subject's face in the video.
The video combine node is where the final output is produced, combining all elements of the workflow.
The preview gallery allows for comparison of different video iterations during the creative process.