diffusers and stable-diffusion-videos
Diffusers is a foundational framework that provides the core diffusion model implementations and pipelines, while Stable Diffusion Videos builds on top of it to add specialized video generation capabilities through latent space interpolation between prompts.
About diffusers
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
This library helps developers and researchers create or use AI models that generate new images, audio, or even molecular structures. You provide text descriptions or existing data, and it outputs novel visual, auditory, or structural content. It's designed for machine learning practitioners and AI artists.
About stable-diffusion-videos
nateraw/stable-diffusion-videos
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
This tool helps content creators and digital artists generate dynamic, AI-powered videos by smoothly transitioning between different text descriptions. You input a series of creative text prompts and optional audio, and it outputs a unique video where the visuals morph from one concept to the next, sometimes even synchronized to music. It's ideal for anyone looking to quickly produce imaginative visual content without traditional animation skills.
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