Awesome-Video-Diffusion
storyteller
Awesome-Video-Diffusion | storyteller | |
---|---|---|
1 | 1 | |
2,478 | 474 | |
9.3% | - | |
8.9 | 5.9 | |
14 days ago | 9 months ago | |
Python | ||
- | MIT License |
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Awesome-Video-Diffusion
storyteller
What are some alternatives?
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)
ez-text2video - Easily run text-to-video diffusion with customized video length, fps, and dimensions on 4GB video cards or on CPU.
video-diffusion-pytorch - Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch
CogView - Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
SpeechT5 - Unified-Modal Speech-Text Pre-Training for Spoken Language Processing
Sketch-Guided-Stable-Diffusion - Unofficial Implementation of the Google Paper - https://sketch-guided-diffusion.github.io/
ReuseAndDiffuse - Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
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)