storyteller VS Awesome-Video-Diffusion

Compare storyteller vs Awesome-Video-Diffusion and see what are their differences.

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storyteller Awesome-Video-Diffusion
1 1
475 2,478
- 9.3%
5.9 8.9
9 months ago 14 days ago
Python
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.

storyteller

Posts with mentions or reviews of storyteller. We have used some of these posts to build our list of alternatives and similar projects.

Awesome-Video-Diffusion

Posts with mentions or reviews of Awesome-Video-Diffusion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-19.

What are some alternatives?

When comparing storyteller and Awesome-Video-Diffusion you can also consider the following projects:

ez-text2video - Easily run text-to-video diffusion with customized video length, fps, and dimensions on 4GB video cards or on CPU.

awesome-speech-recognition-speech-synthesis-papers - Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

CogView - Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".

video-diffusion-pytorch - Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

Sketch-Guided-Stable-Diffusion - Unofficial Implementation of the Google Paper - https://sketch-guided-diffusion.github.io/

SpeechT5 - Unified-Modal Speech-Text Pre-Training for Spoken Language Processing

aphantasia - CLIP + FFT/DWT/RGB = text to image/video

ReuseAndDiffuse - Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation

Gen-L-Video - The official implementation for "Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising".

stable-diffusion-docker - Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.

LLM-groundedDiffusion - LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models (LLM-grounded Diffusion: LMD)