frame-interpolation VS stable-diffusion-videos

Compare frame-interpolation vs stable-diffusion-videos and see what are their differences.

stable-diffusion-videos

Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts (by nateraw)
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frame-interpolation stable-diffusion-videos
74 17
2,672 4,213
3.0% -
0.0 2.0
8 months ago 12 months ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

frame-interpolation

Posts with mentions or reviews of frame-interpolation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-11.

stable-diffusion-videos

Posts with mentions or reviews of stable-diffusion-videos. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-02.

What are some alternatives?

When comparing frame-interpolation and stable-diffusion-videos you can also consider the following projects:

ebsynth - Fast Example-based Image Synthesis and Style Transfer

sd-dynamic-prompts - A custom script for AUTOMATIC1111/stable-diffusion-webui to implement a tiny template language for random prompt generation

AnimeInterp - The code for CVPR21 paper "Deep Animation Video Interpolation in the Wild"

dain-ncnn-vulkan - DAIN, Depth-Aware Video Frame Interpolation implemented with ncnn library

sd-webui-mov2mov - This is the Mov2mov plugin for Automatic1111/stable-diffusion-webui.

stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]

VQGAN-CLIP-Video - Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab.

stable-karlo - Upscaling Karlo text-to-image generation using Stable Diffusion v2.

latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models

stable-diffusion-tensorflow-IntelMetal - Stable Diffusion in TensorFlow / Keras, Designed for Apple Metal on Intel. Forked from @divamgupta's work [Moved to: https://github.com/soten355/MetalDiffusion]

optical.flow.demo - A project that uses optical flow and machine learning to detect aimhacking in video clips.

Video-Diffusion-WebUI - Video Diffusion WebUI: Text2Video + Image2Video + Video2Video WebUI