AnimateDiff Lightning - Local Install Guide - Stable Video

Olivio Sarikas
22 Mar 202406:21

TLDRThe video provides a guide on how to use the 'AnimateDiff Lightning' feature for anime-style images within the 'Automatic 1111' and 'Comy UI' platforms. The presenter explains the process of downloading and installing the necessary models and extensions, including the 'AnimateDiff' extension for 'Automatic 1111'. They discuss the different models available and share their findings on the best settings to use for optimal results, such as the 'DPM Plus+ SD' sampling method with four steps and a CFG scale of one. The video also demonstrates how to use the feature in 'Comy UI', mentioning that Patreon supporters have access to a specific workflow. The presenter advises on starting with a short prompt and experimenting with different settings for the best outcome. They highlight the importance of testing and adjusting the motion scale and frame rate for smoother animations. The video concludes with a call to action for viewers to share their thoughts in the comments and to experiment with the tool themselves.

Takeaways

  • 🎉 AnimateDiff Lightning is a new feature for anime diffusion, which enhances the animation process within Automatic1111 and Comfy UI.
  • 🔍 There are two primary models available for use, and users can test them for free to see if they like the results before downloading.
  • 📚 A PDF is provided with interesting information, including control nets for DV pose and head, and the capability for video-to-video input.
  • 📈 For Automatic1111, the Comfy models are found to work better, and the DPM Plus+ SD model works best with four sampling steps.
  • ⚙️ The settings for the DPM Plus+ SD model include a high-risk fix, upscale latent with a D noise of 0.65, and an upscale of 1.5.
  • 📊 The CFG scale is set to one for better results, contrary to examples in the PDF that show no CFG.
  • 📂 The model files should be placed in the extensions folder, specifically the AnimateDiff folder, then in the models folder.
  • 🚫 For longer videos, the AnimateDiff model may not work as well, with 16 frames being the optimal size for the current setup.
  • 🎥 In Comfy UI, Patreon supporters have access to a specific workflow, and the video explains how to manage and nickname extensions for clarity.
  • 🔄 A special loader is used for loops longer than 16 frames, which splits them into multiple 16-frame videos and then merges them.
  • 🌟 The Legacy model is preferred in Comfy UI for its simplicity, and the motion scale can be adjusted based on the amount of motion in the animation.
  • 📹 The video combines two methods: one with upscaling for more detail, and one without for a smoother animation, with the frame rate doubled for smoother results.
  • ✅ Short prompts are recommended to start with, and experimentation with negative prompts can yield fast rendering and decent quality.

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 within the Automatic 1111 and Comfy UI.

  • Which models are available for use with AnimateDiff Lightning?

    -The available models for AnimateDiff Lightning include one step, two step, four step, eight step models.

  • What is the recommended model for use within Automatic 1111?

    -The Comfy models are recommended for use within Automatic 1111 as they work better according to the video.

  • What is the suggested PDF to check for more information?

    -The video suggests checking a PDF which contains interesting information such as control nets for DV pose and head, and the capability to use video to video input.

  • How can one update the AnimateDiff extension in Automatic 1111?

    -To update the AnimateDiff extension, one needs to go to 'Available Load', search for AnimateDiff, check for updates, apply changes, and then restart the application.

  • What settings are recommended for the DPM Plus+ SD model?

    -The recommended settings for the DPM Plus+ SD model are four sampling steps, upscale latent with a d noise of 0.65, and upscale of 1.5.

  • What is the optimal frame size for AnimateDiff Lightning?

    -The optimal frame size for AnimateDiff Lightning is 16 frames as longer videos did not work as well.

  • How can Patreon supporters get the workflow from the video?

    -Patreon supporters can get the workflow from the video by accessing it on the same day it was mentioned in the video.

  • What is the role of the 'manager' in the Comfy UI?

    -In the Comfy UI, the 'manager' is used to navigate to the 'batch' and set it to 'nickname', which shows where each individual note is coming from.

  • How does the loop loader in Comfy UI work?

    -The loop loader in Comfy UI takes a loop longer than 16 frames and splits it into multiple 16-frame videos, then merges them together.

  • What is the recommended motion scale setting if there's too much motion in the video?

    -If there's too much motion, the motion scale should be set a bit lower to reduce the motion.

  • How can one improve the frame rate in the Comfy UI?

    -One can improve the frame rate by using the interpolation note which doubles the frame rate, resulting in a smoother video.

Outlines

00:00

🎨 Introduction to Using Anime Diff in Automatic 1111 and Comfy UI

The video script introduces the audience to the Anime Diff tool, which is used for creating animations. It explains that there are two primary models available for use, and viewers can test the tool for free to determine if they like the results. The video also highlights the versatility of the tool, mentioning that it can be used for DV pose control nets and video to video input. The presenter shares their personal preference for the Comfy UI models within Automatic 1111 and provides a step-by-step guide on how to use the tool, including downloading and installing the necessary extensions, setting up the prompt, and adjusting various parameters such as sampling steps, noise level, and CFG scale. The video concludes with a demonstration of the tool's output, noting that while the quality may not be as high as some might expect due to the lightning model, it still produces visually appealing results.

05:03

🚀 Advanced Workflow in Comfy UI for Animation

The second paragraph delves into an advanced workflow for using the Anime Diff tool within Comfy UI. It discusses the process of managing and loading checkpoints, using a special loader for handling loops in animations that are longer than 16 frames. The workflow involves breaking down longer animations into multiple 16-frame segments, which are then merged to create a cohesive animation. The video provides detailed instructions on setting up the workflow, including the use of a realistic vision checkpoint, adjusting latent dimensions, and batch sizes. It also covers the use of the Legacy model for simplicity and customizing the motion scale to control the level of motion in the animation. The presenter suggests experimenting with different settings and provides tips for achieving a smoother and more detailed final product. The paragraph concludes with a note on the importance of using a concise prompt for faster rendering and better quality results.

Mindmap

Keywords

💡AnimateDiff

AnimateDiff is a software extension that facilitates the creation of animated differences in images, which is a core focus of the video. It is used within the Automatic1111 and Comfy UI platforms to enhance image processing tasks. The video demonstrates how to integrate and use AnimateDiff for creating animations from still images or videos, showcasing its versatility and customization options.

💡Automatic1111

Automatic1111 is a user interface or software platform mentioned in the video where AnimateDiff can be utilized. It is one of the environments in which the tutorial on using AnimateDiff is provided, indicating its compatibility and use for advanced image and video editing tasks.

💡Comfy UI

Comfy UI is another interface where AnimateDiff can be implemented, as discussed in the video. It is suggested that the Comfy UI models work better for the presenter's purposes, highlighting the flexibility of AnimateDiff across different user interfaces.

💡Models

In the context of the video, 'models' refer to the different versions of AnimateDiff that can be downloaded and used within the software. These include one-step, two-step, four-step, and eight-step models, each offering varying levels of detail and complexity in the animation process.

💡PDF

The PDF mentioned in the video is a document that contains additional information about using AnimateDiff. It is suggested as a resource for users to gain a deeper understanding of the tool's capabilities, including control nets for DV pose and head, and the option for video-to-video input.

💡Extension

An 'extension' in the video refers to a specific add-on software component that expands the functionality of a primary program. For AnimateDiff to work within Automatic1111, the viewer is instructed to ensure they have the AnimateDiff extension installed and updated.

💡Sampling Steps

Sampling steps are a parameter within the AnimateDiff extension that determines the number of steps taken to create the animation. The video suggests that four sampling steps work best with the DPM Plus+ SD model for the presenter's use case.

💡CFG Scale

CFG Scale is a setting within the AnimateDiff extension that affects the configuration of the generated images. The video demonstrates that setting the CFG scale to one can be crucial for achieving desired results, as no CFG at all did not work for the presenter.

💡Upscale

Upscaling in the video refers to the process of increasing the resolution of an image or video. It is used in conjunction with AnimateDiff to improve the quality of the output, with a specific mention of using a 'highrisk fix' and a noise level of 0.65.

💡Interpolation

Interpolation is a technique used to increase the frame rate of a video, making it smoother. The video describes using an interpolation note to double the frame rate, resulting in a significantly smoother animation compared to the original.

💡Batch Size

Batch size in the context of the video refers to the number of frames processed at one time by the AnimateDiff extension. The presenter mentions setting the batch size to 16, which is the amount of frames used in their workflow.

Highlights

Lightning for anime diff is now available and can be used within Automatic 1111 and Comy UI.

Two models are available for use in the pop-down menu, and can be tested for free.

Different step models (one, two, four, and eight-step) can be downloaded for enhanced functionality.

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.

The DPM Plus+ SD model works best with four sampling steps.

Highrisk fix is used for testing, but not necessary for all users.

Upscale latent with a D noise of 0.65 and upscale of 1.5 are recommended settings.

CFG scale is set to one for optimal results.

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

The model is placed in the extensions folder for Animated Diff to be accessible.

16 frames seem to be the optimal size for the current model.

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

Patreon supporters get access to the workflow for Comy.

The manager window in Comy allows users to set nicknames for better organization.

Realistic Vision 5.1 is used as a checkpoint in the Comy workflow.

Loops longer than 16 frames are divided into multiple 16-frame videos and merged.

Batch size and frame ratios can be adjusted for different video lengths.

The Legacy model is preferred in Comy for its simplicity.

Motion scale can be adjusted based on the amount of motion in the video.

Experimentation with different VAEs is encouraged to find the best settings.

Video combiners with and without upscaling are used for different results.

Interpolation can double the frame rate for smoother results.

Short prompts are recommended for faster rendering and better quality.

The process is designed to render quickly, even with only four steps.