ai動畫 | 高級插件組合| 控制表情 Stable Diffusion |ai动画 教學|
TLDRIn this tutorial, Pound demonstrates the process of creating an AI animation by combining several plugins. He starts with the isnet_Pro plugin for background removal, then moves on to the Tagger plugin to analyze images and generate prompt words for expressions. The multi-frame rendering is the final step to enhance the animation. Throughout the process, he emphasizes the importance of selecting the right models, styles, and settings to achieve a smooth and engaging final product, while also providing tips on optimizing the workflow and memory usage.
Takeaways
- 🎨 Utilize the isnet_Pro plug-in for background removal in videos.
- 📸 Divide the video into frames to work with individual images.
- 🏷️ Apply the Tagger plug-in to analyze pictures and generate prompt words for AI animation expressions.
- 📦 Use multi-frame rendering to process and output images for animation.
- 🌐 Select the Runway background removal function for efficient video processing.
- 🎥 Preview the cutout to ensure the background is properly removed.
- 📁 Organize assets by creating a folder with an English name and numbers for easy access.
- 📝 Copy and paste prompt words from Tagger for batch generation of AI animations.
- 🖌️ Choose a two-dimensional animation model and adjust settings like style, sampling method, and resolution.
- 🔄 Use ADetailer and Cutoff plug-ins for face and color repair in the animation.
- 🎬 Import the generated images into editing software like PR for final video assembly.
Q & A
What is the main goal of the video?
-The main goal of the video is to demonstrate how to create an AI animation by combining several plug-ins.
Which plug-in is used for background removal in the video?
-The isnet_Pro plug-in is used for background removal in the video.
How does the Tagger plug-in function in the AI animation process?
-The Tagger plug-in automatically analyzes the picture and generates prompt words, which are crucial for the expressions in the AI animation.
What is the purpose of the multi-frame rendering plug-in?
-The multi-frame rendering plug-in is used to render multiple frames of the animation for a smoother and more continuous output.
How does the video demonstrate the use of the Runway background removal function?
-The video demonstrates the Runway background removal function by showing how to select a video, drag it over, and use the AI to automatically cut out the picture based on the selection of the character.
What is the recommended export setting for the video?
-The recommended export setting for the video is 720P when exporting for free.
How does the video script mention dealing with the frame rate of the video?
-The video script mentions that the frame rate of the video is about 23, and the user can start the output frame control or choose not to, as it doesn't matter for the process.
What is the significance of the prompt words in the Tagger plug-in?
-The prompt words in the Tagger plug-in are significant because they help to define the expressions and actions of the AI animation, making the final output less rigid and more dynamic.
What are the steps to generate a text file for the AI animation?
-To generate a text file, the user needs to copy the path location from the batch generation settings in Tagger, paste it, and then click 'Interrogate' to generate a text file corresponding to each picture.
How does the video script address the issue of memory usage?
-The video script advises to uninstall the model after use to prevent it from taking up memory, which could be an issue if multiple models are used in the process.
What are the plug-ins used for repairing and enhancing the AI animation?
-The plug-ins used for repairing and enhancing the AI animation include ADetailer for face repair, Cutoff for color adjustments, and Multi-frame rendering for smoother animation.
How does the video script suggest improving the final output of the AI animation?
-The video script suggests using additional AI patching effects to reduce motion flickering and enhance the overall quality of the animation, as well as using editing software like PR for further adjustments.
Outlines
🎨 Creating AI Animation with Plugins
This paragraph outlines the process of creating an AI animation using various plug-ins. It begins with the isnet_Pro plug-in for background removal, emphasizing the importance of dividing the video into frames. The Tagger plug-in is introduced for its ability to analyze pictures and generate prompt words crucial for the AI animation's expressions. The multi-frame rendering is mentioned as the final step. The tutorial continues with practical instructions on using the Runway background removal function, selecting and processing the video, and exporting the assets. It also covers creating a folder for picture output, using Tagger for automatic prompt generation, and the process of batch generation. The importance of choosing the right model and settings for the animation is highlighted, along with tips on using additional plug-ins for face and color repair, and the significance of Multi-frame rendering for the final output.
🚀 Enhancing and Rendering AI Animation
The second paragraph focuses on the rendering and enhancement process of the AI animation. It discusses the use of single image mode for longer rendering times and the importance of checking this option for efficiency. The paragraph details the process of splitting multi-frame rendering and importing images into editing software. It also mentions the AI repair software for enhancing video quality, with options for zoom and anti-shake. The output specifications and the decision-making process for selecting the best settings are explained. The paragraph concludes with tips on adding music, selecting background pictures, and using AI patching to reduce motion flickering, encouraging viewers to like and follow for more content.
Mindmap
Keywords
💡AI animation
💡isnet_Pro plug-in
💡Tagger plug-in
💡Multi-frame rendering
💡Background Removal
💡Prompt words
💡Seed
💡ADetailer and Cutoff
💡ControlNet
💡Anti-shake mode
💡Chroma keying
Highlights
Combining multiple plugins to create an AI animation
Using the isnet_Pro plugin for background removal
Dividing the video into frames for processing
Utilizing the Tagger plugin for automatic picture analysis
Importance of prompt words for AI animation expressions
Employing multi-frame rendering for picture enhancement
Selecting and using the Runway background removal function
Previewing the cutout and choosing mask and cut out options
Exporting the video with limited resolution options
Creating a folder for picture output location
Automatic generation of prompts with Tagger
Batch generation of text files for each picture
Uninstalling models to save memory
Choosing the two-dimensional animation model for style
Adjusting sampling method and steps for image generation
Using ADetailer and Cutoff plugins for face and color repair
Multi-frame rendering process and settings
Importing pictures into editing software for final touches
Adding music and adjusting video specifications
Applying AI patches to reduce motion flickering