Will AnimateDiff v3 Give Stable Video Diffusion A Run For It's Money?
TLDRAnimateDiff v3 has been released, promising to give Stable Video Diffusion a run for its money. This new version includes four models: a domain adapter, a motion model, and two sparse control encoders. Unlike Stable Video Diffusion, which has a license that limits commercial use, AnimateDiff v3 is free and open for creative use without monthly fees. The models can animate single static images and also use multiple inputs for more complex animations. The video compares AnimateDiff v3 with its previous version and long animate models, demonstrating the ease of use and versatility of the new version. While the sparse control features are not yet available for public use, the current capabilities of AnimateDiff v3 are impressive, and the upcoming features are expected to be a game-changer in the animation industry. The video concludes with a festive wish and anticipation for more advancements in 2024.
Takeaways
- 🔥 **New Version 3 Models**: The AnimateDiff v3 models have been released and are described as being very impressive.
- 🌟 **Long Animate Models**: Lightricks has introduced longer Animate models, one of which was trained on up to 64 frames, twice as long as the others.
- 🎨 **Four New Models**: With the release of AnimateDiff v3, there are four new models: a domain adapter, a motion model, and two sparse control encoders.
- 📷 **RGB Image Conditioning**: The RGB image conditioning model works with normal pictures and is likened to Stable Video Diffusion from Stability AI.
- 🚫 **Commercial Use Limitation**: Stable Video Diffusion has a license that restricts commercial use unless a monthly fee is paid, which is not viable for educators.
- 🆓 **Free License**: AnimateDiff v3 offers a free license with no paywalls, allowing creators to animate images without financial constraints.
- 🎭 **Multiple Scribbles**: Version 3 can animate a single scribble and also use multiple scribbles for more complex animations.
- 🔄 **Module Compatibility**: The Laura and motion module files are compatible with both Automatic1111 and Comfy UI.
- 📚 **GitHub Resources**: Detailed instructions and resources for AnimateDiff can be found on the GitHub page, including FP16 safe tensor files.
- 📈 **Performance Comparison**: A comparison between AnimateDiff v2, v3, and the long animate models was conducted, with v2 and v3 being favored in the test.
- 🎄 **Sparse Control Potential**: Version 3's main potential lies in its sparse control capabilities, which are not yet available but are anticipated to be a game-changer.
- 🌐 **Wishing for the Future**: The speaker expresses optimism for 2024, expecting it to bring more exciting advancements in technology.
Q & A
What are the new features introduced in AnimateDiff v3?
-AnimateDiff v3 introduces four new models: a domain adapter, a motion model, and two sparse control encoders. It also allows for animations from a single static image and can handle multiple scribbles for guiding the animation.
How does the licensing of AnimateDiff v3 compare to Stable Video Diffusion?
-AnimateDiff v3 is licensed freely with no paywalls, allowing for commercial use without monthly fees, which is a significant advantage over Stable Video Diffusion that requires a monthly fee for commercial use.
What is the significance of the long animate models from Lightricks?
-The long animate models from Lightricks are trained on up to 64 frames, which is twice as long as the standard models, offering the potential for more detailed and longer animations.
How does the user interface differ between Automatic 1111 and Comfy UI?
-Automatic 1111 is limited to a single output, while Comfy UI allows for side-by-side comparisons of multiple outputs. Both interfaces support the Laura and motion module files for AnimateDiff v3.
What is the file size of AnimateDiff v3 and how does it benefit the user?
-AnimateDiff v3 has a file size of just 837 MB, which is beneficial for users as it saves both load time and valuable disk space.
How does the user add a Laura to the prompt in AnimateDiff v3?
-To add a Laura, the user selects the Laura tab and searches for the desired adapter, which is then added to the prompt at the top.
What is the role of the motion scale in the long animate models?
-The motion scale adjusts the speed of the animation in the long animate models, with different suggested values for the 32 and 64 frame models.
How does the user control the animation in AnimateDiff v3?
-The user can control the animation by providing a prompt and selecting the appropriate model and settings, such as the motion scale and enabling the animation feature.
What is the potential impact of sparse control nets for AnimateDiff v3?
-Sparse control nets, once available for AnimateDiff v3, are expected to be a game-changer, offering more precise control over the animation process.
How does the user adjust the seed for the animation?
-The user can adjust the seed by adding a case sampler and setting the seed value, which helps in generating consistent and comparable results.
What are the user's preferences regarding the different versions of AnimateDiff?
-The user personally prefers the original version 2 for its quality, but acknowledges that version 3 is also very good, especially with the potential of sparse control features.
Outlines
🚀 Introduction to Animate, Diff Version 3 Models
The video script introduces the release of new version 3 models in the animate,diff World, which are described as being highly impressive. The video discusses the inclusion of a domain adapter, a motion model, and two sparse control encoders. It highlights the advantage of the free license for these models, which allows for animation without commercial restrictions or monthly fees. The script also touches on the capability of animating from static images and the potential for guiding animations through multiple scribbles or inputs. The models are tested in both automatic 1111 and comfy UI interfaces, with the latter allowing for side-by-side comparisons. The video concludes with a prompt for using the models and a mention of the GitHub page for more detailed instructions.
📊 Comparative Testing of Animate, Diff Models
The script details a comparative analysis of different Animate, Diff models, including version 2 and the new version 3, as well as long animate models with 32 and 64 frames. The video demonstrates how to set up and use these models in the comfy interface, adjusting settings like motion scale based on GitHub recommendations. The comparison includes generating animations with different models using the same prompt and seed for consistency. The results are displayed side by side to evaluate the performance of each model. The video also discusses the potential for further improvements with larger context and different seeds. The long animate models show some wibbly effects, which can be controlled with input videos and control Nets. The video concludes with a positive outlook on the capabilities of version 3, especially once sparse control nets are available.
🎄 Seasonal Greetings and Future Predictions
The final paragraph discusses the integration of a video input into the animation process instead of using latents. The video input requires an updated prompt to reflect the change in content. The script mentions the rendering process and the different outputs generated by each model, with a personal preference for version three. It acknowledges the limitations of the current version 3 regarding sparse controls but remains optimistic about future updates. The video ends with festive wishes for the audience and a prediction that the year 2024 will bring more exciting advancements in the field.
Mindmap
Keywords
💡AnimateDiff v3
💡Domain Adapter
💡Motion Model
💡Sparse Control Encoders
💡Stable Video Diffusion
💡Commercial Use
💡RGB Image Conditioning
💡Long Animate Models
💡Automatic 1111 and Comfy UI
💡FP16 Safe Tensor Files
💡Sparse Controls
Highlights
AnimateDiff v3 has been released, offering new models that are highly anticipated.
Version 3 introduces four new models: a domain adapter, a motion model, and two sparse control encoders.
AnimateDiff v3 is a potential competitor to Stable Video Diffusion, especially for those who cannot afford commercial licensing.
The new models can animate single static images and also use multiple scribbles for more complex animations.
AnimateDiff v3 is free to use with no paywalls, making it accessible for creators and educators.
The Laura and motion module files are ready to use in both Automatic1111 and Comfy UI.
Version 3 is efficient, weighing in at just 837 MB, saving on load time and disk space.
The domain adapter from the new version allows for text prompts to be integrated into the animation process.
Different frame lengths are available for the long animate models, with options for 32 and 64 frames.
The long animate models show potential but may require further refinement for smoother animations.
Sparse control nets for version 3 are not yet available but are expected to be a game-changer when released.
The video input feature allows for the animation of specific subjects, such as a woman turning into a rodent in the example.
The comparison between version 2 and version 3 of AnimateDiff shows that both perform well, with version 3 offering more control.
The use of an input video and control nets can help refine the animation outputs for more consistent results.
The GitHub page for AnimateDiff provides detailed instructions and resources for users to get started.
The file size of the models is smaller due to the use of fp16 safe tensor files, which are safer and more efficient.
The narrator expresses optimism for the upcoming year, predicting more advancements in the field of animation technology.