stable-diffusion-animation
Maintainer: andreasjansson
115
| Property | Value |
|---|---|
| Model Link | View on Replicate |
| API Spec | View on Replicate |
| Github Link | View on Github |
| Paper Link | No paper link provided |
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Model overview
stable-diffusion-animation is a Cog model that extends the capabilities of the Stable Diffusion text-to-image model by allowing users to animate images by interpolating between two prompts. This builds on similar models like tile-morph which create tileable animations, and stable-diffusion-videos-mo-di which generate videos by interpolating the Stable Diffusion latent space.
Model inputs and outputs
The stable-diffusion-animation model takes in a starting prompt, an ending prompt, and various parameters to control the animation, including the number of frames, the interpolation strength, and the frame rate. It outputs an animated GIF that transitions between the two prompts.
Inputs
- prompt_start: The prompt to start the animation with
- prompt_end: The prompt to end the animation with
- num_animation_frames: The number of frames to include in the animation
- num_interpolation_steps: The number of steps to interpolate between animation frames
- prompt_strength: The strength to apply the prompts during generation
- guidance_scale: The scale for classifier-free guidance
- gif_frames_per_second: The frames per second in the output GIF
- film_interpolation: Whether to use FILM for between-frame interpolation
- intermediate_output: Whether to display intermediate outputs during generation
- gif_ping_pong: Whether to reverse the animation and go back to the beginning before looping
Outputs
- An animated GIF that transitions between the provided start and end prompts
Capabilities
stable-diffusion-animation allows you to create dynamic, animated images by interpolating between two text prompts. This can be used to create surreal, dreamlike animations or to smoothly transition between two related concepts. Unlike other models that generate discrete frames, this model blends the latent representations to produce a cohesive, fluid animation.
What can I use it for?
You can use stable-diffusion-animation to create eye-catching animated content for social media, websites, or presentations. The ability to control the prompts, frame rate, and other parameters gives you a lot of creative flexibility to bring your ideas to life. For example, you could animate a character transforming from one form to another, or create a dreamlike sequence that seamlessly transitions between different surreal landscapes.
Things to try
Experiment with using contrasting or unexpected prompts to see how the model blends them together. You can also try adjusting the prompt strength and the number of interpolation steps to find the right balance between following the prompts and producing a smooth animation. Additionally, the ability to generate intermediate outputs can be useful for previewing the animation and fine-tuning the parameters.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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