Civitai AI Video & Animation // Making Depth Maps for Animation // 3.28.24

Tyler, the host, welcomes viewers to a video and animation stream focusing on creating depth map animations. He introduces the plan for the session, which involves generating depth map animations using Comfy UI and Anime Diff, and then stylizing them. The required resources, including a specific Laura model by Phil (Machine Delusions) and two workflows, are shared through provided links. The process is described as accessible and creative, with an emphasis on the potential for stylization using depth maps.

The host provides an overview of the first workflow, which is designed to generate a depth map from a prompt. He explains the role of the LCM Laura model and the settings used, such as the resolution and the strength of the LCM Laura. The importance of the batch prompt scheduler is highlighted for creating prompt traveling depth maps. Tyler also discusses the use of prompts from the audience to generate various depth map animations and mentions the potential for VRAM usage during the process.

Tyler demonstrates the process of generating a depth map using a specific prompt and the LCM Laura model. He discusses the use of motion scales and the importance of randomizing seeds for different outcomes. The host also addresses the use of an IP adapter to enhance the depth map with a specific image. He shares examples of generated depth maps and explains how they will be used in the second part of the workflow for stylization.

The host moves on to the second workflow, which focuses on animating and stylizing the depth map. He details the use of the depth control net and the control GIF to smooth out animations. Tyler also mentions the possibility of using an IP adapter for stylization and discusses the VRAM usage during the animation process. The goal is to create animations that can be smoothed out and slowed down through interpolation.

Tyler attempts to generate a depth map for a wizard and a clock based on prompts from the audience. He discusses the challenges in getting the desired outcome for the clock prompt and explores different models and seeds to achieve better results. The host also touches on the potential of using depth map pre-processors to create depth maps from normal videos.

The host discusses the ease of 'reskinning' depth maps using the IP adapter or by prompting. He emphasizes the potential for creating music visualizers or cool loops by putting time and effort into the process. Tyler also interacts with the audience, taking more prompts for depth map generation and showing how to apply different styles to the generated maps.

Tyler addresses the VRAM constraints when running the workflows and provides solutions for users with limited VRAM. He shares links to the required LCM Laura model and the workflows, ensuring that the audience can access them easily. The host also discusses the process of generating a depth map from text and applying styles to create visually appealing animations.

The host experiments with creating depth maps using bug-themed prompts. He uses a motion model trained on ants to add a crawling effect to the animations. Tyler also discusses the potential of using different motion models to achieve varied animation effects. The audience is encouraged to generate insect-themed images for use in the IP adapter.

Tyler shares the workflows and models used during the stream and encourages the audience to download and experiment with them. He highlights the importance of community interaction and sharing creations on the workflow page. The host also previews the next stream with a guest creator, generating excitement for future content.

The host wraps up the stream by summarizing the activities and expressing gratitude to the audience for their participation. He provides instructions for using the workflows and models, and encourages viewers to share their creations on the workflow page. Tyler also teases the next stream, which will feature a guest creator and promises to be insightful and inspiring.