Gen-L-Video VS anima

Compare Gen-L-Video vs anima 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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Gen-L-Video anima
1 2
262 40
- -
7.7 3.4
5 months ago 11 months ago
Jupyter Notebook Jupyter Notebook
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.

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.

anima

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

What are some alternatives?

When comparing Gen-L-Video and anima you can also consider the following projects:

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)

TempoFunk - (pseudo) Make-a-Video with stable diffusion

storyteller - Multimodal AI Story Teller, built with Stable Diffusion, GPT, and neural text-to-speech

CrossAttentionControl - Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion

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

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

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