Civitai AI Video & Animation // Making Depth Maps for Animation // 3.28.24
TLDRIn the Civitai AI Video & Animation stream, Tyler demonstrates how to create depth map animations using Comfy UI and animate them with Diff in a two-part workflow. The first workflow generates a black and white depth map from text prompts, utilizing a model by Phil, also known as Machine Delusions. The second workflow stylizes these depth maps using Anime Diff. Tyler emphasizes the endless creative possibilities, as the clean depth maps can be stylized in various ways. The process is made efficient with the use of 1.5 LCM, ensuring speed. Viewers are encouraged to participate by submitting prompts for the animations. The stream also features a discussion about the potential use of depth maps for music visualizations and the importance of random seeds in generating unique results. Tyler shares the workflow links for download and invites the audience to experiment and share their creations on Civitai.
Takeaways
- 🎥 The stream focuses on creating depth maps for animation using AI and comfort UI.
- 👨💻 Tyler introduces a new workflow for generating depth map animations and stylizing them with anime diff.
- 🔗 The required resources, including the depth map model by Machine Delusions and the workflows, are shared through Discord and Twitch chat.
- 🖌️ Users are encouraged to participate by suggesting prompts and can see their ideas come to life in the animations.
- 🎨 The depth maps are not always visually coherent but offer endless creative possibilities when stylized with anime diff.
- 📸 The stream demonstrates how to use different models and settings to achieve varied depth map results.
- 🌐 The community is invited to share their creations on the Civitai platform and inspire others with their work.
- 🚀 Tyler highlights the potential of these AI tools to create music visualizations and unique video content.
- 💡 The stream showcases the power of combining user input with AI to produce unexpected and exciting outcomes.
- 📅 Upcoming streams are promoted, including a guest creator session with Sir Spence, a technical researcher artist.
- 🤖 The stream emphasizes the importance of the community in driving innovation and exploring new possibilities with AI.
Q & A
What is the main topic of the video?
-The main topic of the video is creating and stylizing depth map animations using Comfy UI and Anime Diff.
Who is the host of the video?
-The host of the video is Tyler, from the Civitai AI Video and Animation stream.
What is the purpose of using depth maps in animation?
-Depth maps are used to add a sense of dimension and depth to animations, which can then be stylized using tools like Anime Diff for creative visual effects.
What is the role of the 'depth map 64' in the workflow?
-'Depth map 64' is a model created by Phil AKA Machine Delusions, used to generate black and white gray-scale images, which serve as depth maps for animations.
How can viewers participate in the stream?
-Viewers can participate by submitting prompts in the chat, which Tyler uses to generate depth map animations during the stream.
What is the significance of the 'Batch Prompt Scheduler' in the workflow?
-The 'Batch Prompt Scheduler' is used to create a sequence of prompts, allowing for the generation of a series of depth map images that can be turned into an animation.
What is the purpose of the 'Animate Diff Loader' in the second workflow?
-The 'Animate Diff Loader' is used to stylize the depth map video by applying different visual styles to it, creating a more polished and artistic animation.
Why is the 'IP Adapter' used in the workflow?
-The 'IP Adapter' is used to apply a specific image style onto the depth map, allowing for greater creative control over the final look of the animation.
What is the 'Control GIF' used for in the workflow?
-The 'Control GIF' is used to smooth out the animation, ensuring that the motion between frames is fluid and natural-looking.
What is the recommended GPU VRAM requirement for running these workflows?
-The recommended GPU VRAM requirement for running these workflows is at least 8 gigabytes.
How can one ensure they are using the correct 'LCM Laura' in the workflow?
-To ensure the correct 'LCM Laura' is used, it should be placed in the 'Laura Stacker' within the workflow and should appear after being added to the 'Laura' folder.
Outlines
🎉 Introduction to Depth Map Animations
Tyler, the host, welcomes the audience to a video and animation stream focused on creating depth map animations. He introduces the plan to generate depth maps using Comfy UI and then stylize them with Anime Diff. The required resources, including a specific model by Phil (Machine Delusions) and two workflows, are shared with the audience through Discord and Twitch links. The first workflow generates the depth map, and the second stylizes it. Tyler emphasizes the creative potential of this process.
📁 Workflow Overview and User Friendliness
The host provides an overview of the two workflows that will be used in the stream. He emphasizes the simplicity and user-friendliness, particularly for Daz, who tests the workflows for their ease of use. The workflows are designed to minimize VRAM usage, making them accessible for users with limited hardware resources. The first workflow generates the depth map, and the second focuses on stylizing the animation using Anime Diff.
🎨 Customizing Depth Maps with Prompts
Tyler explains how to customize the depth maps using prompts. He details the process of using the batch prompt scheduler and the importance of the prompt syntax for generating the desired depth map. The host also discusses the use of the IP adapter for pushing specific images into the depth map and shows examples of generated depth maps, including one using an IP adapter image.
🧙♂️ Animating a Wizard in Rainbow Robes
The host selects a prompt from the chat and begins the process of generating a depth map for an animation of a wizard in rainbow robes. He discusses the motion of the wizard and makes adjustments to the motion Laura to achieve the desired effect. The audience is shown how the black and white depth map is created and how it will be used in the second part of the workflow for stylization.
🔄 Iterative Process and Style Application
Tyler talks about the iterative process of generating depth maps, emphasizing the need to randomize seeds and rerun generations until a satisfactory result is achieved. He also discusses the second workflow, which applies style to the depth maps using Anime Diff. The host shows how to use the depth control net and control net to smooth out animations and mentions the possibility of using an IP adapter to stylize the depth map.
🪲 Experimenting with Bug-Themed Depth Maps
The host shares his excitement about the potential of using depth maps for creative projects like music visualizations. He takes prompts from the audience for bug-themed animations and discusses the use of different models and motion Lauras to achieve varied effects. The stream features experiments with insect-like imagery and motion, aiming to create unique and compelling animations.
🤔 Troubleshooting and Community Interaction
Tyler addresses a question about creating image products and video animations without affecting the original. He refers viewers to a previous stream for answers. The host also discusses the VRAM usage during the workflow and reassures that the process is suitable for systems with as little as 8GB of VRAM. Community interaction continues with the audience providing prompts and sharing their creations.
🧬 Combining Images for Unique Animations
The host talks about combining different images to create unique animations using the IP adapter. He demonstrates how even simple depth maps can be transformed into interesting visuals with the right image input. The stream showcases the process of combining various prompts and images to generate distinct and engaging animations.
📚 Upscaling and Finalizing Animations
Tyler discusses the process of upscaling the animations and preparing them for final use. He also talks about a future guest, Spence, who will join the stream to demonstrate how to create audio-reactive visuals using Comfy UI and other tools. The host expresses excitement about the upcoming stream and encourages viewers to attend.
🌐 Sharing Workflows and Encouraging Community Participation
The host provides links to the workflows and encourages the audience to download and experiment with them. He shares his enthusiasm for the creative potential of the tools and invites viewers to share their creations on the Civi Tai website and Machine Delusions' model page. Tyler also addresses a technical issue with loading a workflow image and provides a solution.
🏁 Wrapping Up the Stream
In the final part of the stream, Tyler thanks the audience for joining and recaps the activities. He highlights a creepy bug-themed animation as a memorable way to end the session. The host also promotes the next stream featuring guest creator Spence and encourages viewers to follow along for an inspiring and educational experience.
Mindmap
Keywords
💡Depth Maps
💡Animation
💡AI Video & Animation Stream
💡Workflow
💡Comfortable UI (Comfy UI)
💡Machine Delusions
💡Anime Diff
💡Stylize
💡Prompts
💡VRAM
Highlights
Tyler is excited to introduce a new approach to depth map animations using Comfy UI and Anime Diff.
The process involves generating depth map animations and then stylizing them with Anime Diff for creative flexibility.
Two different workflows are provided, one for generating the depth map and another for stylization.
The depth map is created using a model trained by Phil, also known as Machine Delusions.
The model sometimes produces nonsensical depth maps, but they are suitable for animation purposes.
The first workflow generates a black, white, and gray image, also known as the depth map.
The second workflow takes the depth map and stylizes it using Anime Diff for various creative outcomes.
The process is highly accessible and allows for endless creative possibilities in animation.
The use of the LCM model at a strength of 18 allows for faster generation of the depth maps.
The batch prompt scheduler enables the creation of prompt-traveling depth maps for varied animations.
The audience is encouraged to submit prompts for the creation of unique animations.
The workflow is designed to be VRAM efficient, making it accessible for users with limited hardware resources.
The output of the first workflow is a low-resolution depth map that can be upscaled after stylization.
The color correction node is used to ensure high contrast and a black background for the depth map.
Examples of generated depth maps include a Buddha statue and a magic-wielding wizard.
The second workflow includes a control net for smoothing out the animations and an IP adapter for stylization.
The final output can be used for various applications such as music visualizations or creating cool loops.
The stream also discusses troubleshooting and optimizing the workflow for different hardware capabilities.