storyteller VS Gen-L-Video

Compare storyteller vs Gen-L-Video and see what are their differences.

Gen-L-Video

The official implementation for "Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising". (by G-U-N)
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storyteller Gen-L-Video
1 1
475 262
- -
5.9 7.7
9 months ago 4 months ago
Python Jupyter Notebook
MIT License 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.

storyteller

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

Gen-L-Video

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

What are some alternatives?

When comparing storyteller and Gen-L-Video 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.

LAMP - Official implement code of LAMP: Learn a Motion Pattern by Few-Shot Tuning a Text-to-Image Diffusion Model (Few-shot-based text-to-video diffusion)

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

Awesome-Video-Diffusion - A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.

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

Wuerstchen - Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models

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

anima - Turn text into video using Stable Diffusion and Google FILM

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

MultiDiffusion - Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)

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