frame-interpolation VS SD-CN-Animation

Compare frame-interpolation vs SD-CN-Animation and see what are their differences.

SD-CN-Animation

This script allows to automate video stylization task using StableDiffusion and ControlNet. (by volotat)
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frame-interpolation SD-CN-Animation
74 20
2,672 802
3.2% -
0.0 8.0
8 months ago 5 months ago
Python Python
Apache License 2.0 MIT License
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.

SD-CN-Animation

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

What are some alternatives?

When comparing frame-interpolation and SD-CN-Animation you can also consider the following projects:

ebsynth - Fast Example-based Image Synthesis and Style Transfer

AnimateDiff - Official implementation of AnimateDiff.

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

infinite-zoom-automatic1111-webui - infinite zoom effect extension for AUTOMATIC1111's webui - stable diffusion

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

AnimateDiff - Official implementation of AnimateDiff.

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

RAFT

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

private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks

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

llama.cpp - LLM inference in C/C++