AnimateDiff Lightning - Local Install Guide - Stable Video

The video provides a guide on how to use the AnimateDiff Lightning extension for creating animated content with anime-style diffusion models within the Automatic1111 and Comfy UI platforms. The presenter demonstrates the process of installing and updating the extension, selecting appropriate models, and adjusting settings for optimal results. The video covers the use of different models, including one-step to four-step models, and emphasizes the versatility of the model for various inputs like DV pose and head. It also discusses the importance of setting the CFG scale and using the extension's features to achieve better quality in animations. The presenter shares their findings on the optimal frame size for the model and offers tips for achieving smoother animations through interpolation and upscaling. The video concludes with an invitation to experiment with different prompts and settings to achieve desired results and to share feedback in the comments.

Takeaways

• 🎉 AnimateDiff for anime diffusion is now available and can be used within Automatic1111 and Comfy UI.
• 🔍 There are two models available for testing: one-step, two-step, four-step, and eight-step models.
• 📚 A PDF is recommended for more information, including control nets for DV pose and head, and the capability for video-to-video input.
• 📂 To use AnimateDiff in Automatic1111, you need the AnimateDiff extension, which should be updated for the best results.
• 🔧 For settings in Automatic1111, DPM Plus+ SD with four sampling steps is suggested, along with a CFG scale of one.
• 🚫 Highrisk fix is optional and used for testing purposes.
• 📊 The upscale latent with a D noise of 0.65 and an upscale of 1.5 is suggested, but can be adjusted based on preference.
• 🚀 For longer videos, 16 frames seem to be the optimal size for the current model.
• 🎥 Patreon supporters get access to a specific workflow for using AnimateDiff in Comfy UI.
• 🔄 A special loader is used for loops longer than 16 frames, which splits them into multiple 16-frame videos and then merges them.
• 📈 The motion scale can be adjusted if there is too much motion in the output.
• 📝 Short prompts are recommended for faster rendering and better quality, with the option to experiment with longer prompts and negative prompts.

Q & A

What is the main topic of the video?

The main topic of the video is a guide on how to use the AnimateDiff Lightning feature for anime diffusion within the Automatic1111 and Comfy UI platforms.

What are the two primary models available for use in the AnimateDiff Lightning?

The two primary models available for use are selectable from the dropdown menu within the application.

How many different step models are there to choose from?

There are four different step models available: one step, two step, four step, and eight step models.

Which model did the speaker find to work better in Automatic1111?

The speaker found that the Comfy models worked better in Automatic1111.

What is the recommended PDF to check for more information?

The speaker suggests checking out the PDF for control nets for DV pose and head, as well as information on using video to video input.

What extension is necessary to use AnimateDiff in Automatic1111?

The AnimateDiff extension is necessary, which can be updated and enabled within the platform.

What is the optimal number of sampling steps suggested for the DPM Plus+ SD model?

The optimal number of sampling steps suggested is four, as the speaker downloaded the four-step model.

What is the suggested CFG scale setting for better results?

The speaker set the CFG scale to one for better results, as having no CFG did not work well for them.

What is the recommended frame size for the AnimateDiff model?

The recommended frame size is 16 frames, as longer videos did not work as well.

How can Patreon supporters get the workflow shown in the video?

Patreon supporters can receive the workflow from the speaker directly, as mentioned in the video.

What is the purpose of the loop feature in the Comfy UI?

The loop feature is used to split longer loops into multiple 16-frame videos and then merge them together.

What is the suggested frame rate for smoother results in Comfy UI?

The speaker used a frame rate of six, which was considerably smoother than the options available in Automatic1111.

Outlines

00:00

📚 Introduction to Using Animated Diff in Automatic 1111 and Comfy UI

The first paragraph introduces the viewer to the Animated Diff extension, which is used for creating anime-style animations. The presenter explains that there are two primary models available for use and that viewers can test the tool for free. The models include one-step, two-step, four-step, and eight-step models, with the presenter's preference for the four-step model within Automatic 1111. The paragraph also mentions a PDF with additional information on control nets for different poses and head types, as well as the versatility of the model for video-to-video input. Instructions are provided on how to update and enable the Animated Diff extension, set up the text-to-image prompt, and adjust settings such as sampling steps, noise levels, and CFG scale for optimal results. The presenter also discusses the limitations when working with longer videos and shares a successful outcome using the higher fix and upscaling.

05:03

🎥 Using Animated Diff in Comfy UI for Enhanced Video Smoothness

The second paragraph delves into the application of the Animated Diff extension within Comfy UI, highlighting the process for Patreon supporters who receive a specific workflow. The presenter outlines the steps for managing and naming extensions, loading checkpoints, and using a special loader for handling loops longer than 16 frames by splitting them into shorter segments and merging them. The paragraph also covers the setup for the empty latent, batch size, and the use of the Legacy model for simplicity. Custom nodes and model loading are explained, along with adjusting the motion scale to control the level of motion in the output. The presenter suggests experimenting with different values for the best results and emphasizes the fast rendering time due to the four-step process. The paragraph concludes with advice on starting with short prompts and gradually increasing their length, as well as the presenter's invitation for viewer feedback and a farewell.

Keywords

💡AnimateDiff

AnimateDiff is a software tool used for animating differences between images, which is particularly useful in the context of the video for creating animations from static images. It is a core component of the video's theme as it is the primary tool being demonstrated for use within the Automatic1111 and Comfy UI environments. The script discusses how to install and use AnimateDiff, including the process of downloading models and setting up the extension.

💡Automatic1111

Automatic1111 is a user interface or software platform where AnimateDiff is being demonstrated. It is a key element in the video as the presenter guides viewers on how to integrate and use AnimateDiff within this specific interface. The script mentions the need for the AnimateDiff extension and provides steps to update and enable it within Automatic1111.

💡Comfy UI

Comfy UI is another interface mentioned in the video where AnimateDiff can be utilized. The presenter briefly touches on how Patreon supporters can access a workflow involving AnimateDiff in Comfy UI. It is an important concept as it shows the versatility of AnimateDiff across different platforms.

💡Models

In the context of the video, 'models' refer to the different versions of AnimateDiff that can be downloaded and used. The script mentions one-step, two-step, four-step, and eight-step models, indicating varying levels of complexity and detail that these models can provide in the animation process. Models are central to the functionality of AnimateDiff as they dictate the quality and style of the animations.

💡PDF

The PDF mentioned in the video is a document that contains additional information about using AnimateDiff, including control nets for DV pose and head, and video-to-video input capabilities. It is an important resource for users looking to understand more about the tool's features and how to utilize them effectively.

💡CFG Scale

CFG Scale is a setting within the AnimateDiff tool that affects the configuration of the generated animations. The presenter in the video adjusts the CFG Scale to one, which is a detail that shows the customization options available to users when creating animations. It is a technical term that impacts the final output of the animations.

💡DP PM Plus+ SD

DP PM Plus+ SD is a specific setting or model used within the AnimateDiff tool that the presenter found to work best with four sampling steps. It is an example of the detailed configuration options available to users and is directly related to the quality and style of the animations produced.

💡Upscale Latent

Upscale Latent refers to a process within AnimateDiff that increases the resolution of the latent image used in the animation. The script mentions using a D noise of 0.65 and an upscale of 1.5, which are parameters that affect the clarity and noise level of the upscaled images. This is a key concept as it relates to the visual quality of the final animation.

💡Video Combiners

Video Combiners are tools used to merge multiple video frames or segments into a single, cohesive video. In the video, the presenter discusses using video combiners with and without upscaling to create smoother animations. This is an important step in the animation process as it affects the fluidity and continuity of the final video output.

💡Interpolation

Interpolation is a technique used to increase the frame rate of a video, making it smoother. The presenter mentions using an interpolation note to double the frame rate, which results in a smoother animation compared to the original. It is a significant concept in the video as it addresses the issue of motion smoothness in animations.

💡Patreon Supporters

Patreon Supporters are individuals who financially support creators on the Patreon platform. In the context of the video, the presenter mentions that Patreon supporters will receive a specific workflow involving AnimateDiff. This highlights the additional benefits and exclusive content available to those who support creators on Patreon.

Highlights

Lightning for anime diff is now available for use within Automatic 1111 and Comy UI.

There are two models available to use from the dropdown menu, which can be tested for free.

Models include one step, two step, four step, and eight step options.

The Comy models are found to work better within Automatic 1111.

A PDF is available with interesting information, including control nets for DV pose and head.

The versatility of the model allows for video to video input.

To use the extension in Automatic 1111, ensure the Animated Diff extension is updated.

For settings, DPM Plus+ SD works best with four sampling steps when using the four step model.

Highrisk fix is optional and can be used for testing purposes.

Upscale latent with a D noise of 0.65 and upscale of 1.5 can be adjusted based on preference.

CFG scale set to one works better than no CFG for the user.

Animate Diff should be turned on and the model loaded for use.

The model should be placed in the extensions folder, then the Animated Diff folder, and finally the models folder.

16 frames seem to be the optimal size for the model to work effectively.

The Lightning model may have slightly lower quality due to its nature.

Comy users can access a special workflow provided by the creator to Patreon supporters.

The manager window in Comy allows users to track the origin of individual notes.

Loops longer than 16 frames can be split into multiple 16 frame videos and merged.

Batch size and frame ratios can be adjusted for different output requirements.

The Legacy model in Comy is preferred for its simplicity.

Motion scale can be adjusted to control the amount of motion in the output.

Experimentation with different VAEs can help find the best settings for individual needs.

Video combiners with and without upscaling are available for different detail levels.

Interpolation can double the frame rate for smoother results.

Short prompts are recommended for initial testing, with the option to experiment with longer ones.

The process should render quickly due to the four-step model, providing decent quality.