AnimateDiff Lightning Fast

You may change the steps from 4 to 8, if you didn't get satisfied results. First Video Generating takes time then Videos generate faster. To get best results Make Sure to Write prompts in style as Given in Examples/p>.

UserUserUserUserUser

1000+ text-to-video

Examples

If you use AnimateDiff-Lightning and recommend it on your Twitter, please let us know. Make Sure to Write prompts in style as Given in Example.

maker

Examples 1

@Focus NOIR

Foucs NOIR non white diverse bauhaus time traveller male stripper amazing colorful googles and head piece transparent futuristic neon lots of movement glow in the dark

maker

Examples 2

@Focus Eiffel Tower

Focus: Eiffel Tower (Animate: Clouds moving)

maker

Examples 3

@Focus Trees in forest

Focus: Trees In forest (Animate: Lion running)

maker

Examples 4

@Focus Astronaut in Space

Focus: Astronaut in Space

maker

Examples 5

@Focus Group of Birds in sky

Focus: Group of Birds in sky (Animate: Birds Moving) (Shot From distance)

maker

Examples 6

@Focus Statue of liberty

Focus: Statue of liberty (Shot from Drone) (Animate: Drone coming toward statue)

maker

Examples 7

@Focus Panda in Forest

Focus: Panda in Forest (Animate: Drinking Tea)

maker

Examples 8

@Focus Kids Playing

Focus: Kids Playing (Season: Winter)

Features

Lightning Speed

The AnimateDiff LightningFast model can generate videos more than ten times faster than the original AnimateDiff.

High-Quality Output

Utilizes AnimateDiff Image technology to produce smooth and visually appealing animations, suitable for various styles including realistic and anime.

Low Sampling Steps

Operates at low sampling steps to ensure stable and flicker-free animations.

Flexible Input Options

Supports generating animations from static images and text prompts, offering diverse creative possibilities.

Automated Workflow

Simplifies the animation creation process by automatically generating image sequences.

Video-to-Video Generation

Supports video-to-video generation, enhancing workflow performance.

FAQs

Here are some of the most frequently asked questions.

AnimateDiff Image is an AI tool that can convert static images or text prompts into animated videos. It achieves this by generating a series of smoothly transitioning images.

AnimateDiff Image utilizes pre-trained image-to-image diffusion models (such as Stable Diffusion) and motion modules to predict inter-frame motion, thereby generating animations.

It can handle static images and text prompts. Users can upload a static image, and AnimateDiff Image will predict the motion and generate an animation.

- Generate animations from text prompts - Generate animations from static images - Automatically generate image sequences without manually creating each frame - Seamlessly integrate with Stable Diffusion, leveraging its powerful image generation capabilities

- Can add animation to any input image, including personalized models or artworks - Automatically infer motion without additional guidance - Control the degree of motion by adjusting settings - Works better for simple scenes

Users simply need to provide a text prompt or static image, select a model, and activate AnimateDiff Image to generate short video clips.

- Text-to-video generation - Image-to-video generation - Seamless loop animations - Video editing/manipulation

Artists and creators can integrate AnimateDiff Image into their creative workflows for quickly visualizing animation concepts, storyboards, or animation previews.

Running AnimateDiff Image requires at least 12GB of VRAM to generate 512×512 resolution, 16-frame images.

Yes, by combining technologies like DreamBooth or LoRA, AnimateDiff Image can generate animations for personalized themes, characters, or objects.

AnimateDiff Image generates smooth and visually appealing animations, suitable for use in film and cartoons.

Yes, the video2video implementation of AnimateDiff Image utilizes ControlNet to edit existing videos based on text prompts.

The motion module learns general motion patterns from real videos, generates intermediate frames, and applies motion dynamics to turn static images into animations.

Yes, AnimateDiff Image is open source, and users are free to use and modify it.

No. Users are free to use and modify AnimateDiff Image, and developers are encouraged to submit PRs to help improve it.

Yes, AnimateDiff Image includes basic SEO optimization features to help web pages rank better in search engines.

If you encounter any issues while using AnimateDiff Image, please contact the development team through relevant community or support channels.

Try AnimateDiff-Lightning Now

Experience lightning-fast video generation, explore the power of motion modules, and create stunninganimations!