Civitai AI Video & Animation // Motion Brush Img2Vid Workflow! w/ Tyler

Tyler, the host, welcomes viewers to the AI video and animation stream, expressing excitement about sharing a new workflow involving motion brushes in Comfy UI with anime diff. He invites Discord users to submit images for animation. The session is intended to be relaxed, with no dance videos or complex tasks. Tyler discusses a recent guest stream with Spencer, which provided an in-depth learning experience. The current image on screen, a dripping head, is a transformed version of an initial image, demonstrating the workflow's capabilities. The stream will focus on low-resolution images for speed, with the understanding that upscaling will improve the final output. Tyler credits VK, the creator of the workflow, and plans to share it on his profile after the stream, once he has permission.

The workflow setup begins with ensuring the correct clip vision and IP adapter models are in place. Tyler explains the use of the IP adapter advanced node, the Laura loader, and the control net, specifically the control GIF animate diff, which aids in smoothing animations. He provides a link to download the control net for those who may not have it. The animation process involves selecting between two checkpoints, Boton LCM for general use and Every Journey LCM for anime-based animations. Tyler emphasizes the importance of the frame count and the standard EMA settings. He also discusses the transition from using the Hello 2D model to other models to keep the content fresh and unique.

Tyler demonstrates how to use the mask editor to paint key parts of the image that will be animated. He shows how to adjust the thickness of the paint and how the animation will be more pronounced in the painted areas. The process is interactive, with Tyler asking the audience for opinions on which parts to animate. He also shows how to erase mistakes using the alt key. The segment includes a shout-out to pitp, a contributor to the stream, and a discussion about the workflow's efficiency and the choice of resolution for generating images.

The paragraph discusses how to control the intensity of the motion in the animation. Tyler explains the use of the 'grow mask with blur' node, which expands and blurs the mask for a smoother transition. He also talks about inverting the mask for different effects. The paragraph includes tips from VK on adjusting brightness and handling noise in the animation. Tyler showcases the results of the animation, emphasizing the impact on the eyes and how different motion layers can affect the outcome. He also discusses the technical aspects, such as VRAM usage and the option to interpolate for smoother animations.

Tyler iterates through the workflow using different images submitted by the audience. He demonstrates the process of painting the desired animated areas on each image and how to adjust the workflow for the best results. The segment includes attempts with various 'motion lauras' and the use of different checkpoints for anime-style animations. Tyler also discusses the importance of a high-quality base image for better output and the potential for creating a Civetta badge using the workflow.

The paragraph covers the process of adding more dynamic motions to the animations. Tyler experiments with different motion lauras and describes the visual effects achieved with each. He also discusses the importance of the motion scale in anime diff and how it controls the amount of motion in the animation. The segment includes a variety of images, from a monster with dripping goo to a girl with an aura, demonstrating the versatility of the workflow. Tyler also mentions the upcoming guest, Phil, and teases future streams.

Tyler focuses on a specific image of a girl surfing and discusses the use of motion lauras to create the illusion of waves. He emphasizes the importance of providing clear prompts and using high-quality images for better results. The paragraph also includes a discussion about the motion laura trained by Palm, a friend of Tyler's, and the impact of the motion laura's training on the final output. Tyler encourages viewers to experiment with different elements to enhance their animations.

The final paragraph covers the steps Tyler takes to finalize the workflow and prepare it for upload. He discusses the process of exporting the workflow, removing unnecessary elements, and saving it as a JSON file. Tyler also mentions his equipment preferences, specifically the XP-Pen Pro 24 for pen input. The paragraph concludes with Tyler's intention to upload the workflow during the stream and share the link with the viewers. He also talks about the importance of the open-source community and the willingness of its members to share their work.

Tyler shares the workflow with the audience, providing instructions on how to download and use it. He also discusses the importance of tagging and categorizing the workflow properly for easy access. The paragraph includes a shout-out to VK, the original creator of the workflow, and encourages viewers to follow him on Instagram. Tyler also talks about an Instagram post featuring a Civetta song and encourages viewers to remix and share it using a specific hashtag. He concludes by previewing upcoming streams, including a special guest creator stream with Noah Miller and a discussion on AI in animation.