sergiobr

DeOldify

A Deep Learning based project for colorizing and restoring old images (and video!)

GET3D

awesome-data-labeling

A curated list of awesome data labeling tools

ripme

Downloads albums in bulk

clip-interrogator

Image to prompt with BLIP and CLIP

make-a-video-pytorch

Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch

sd-akashic

A compendium of informations regarding Stable Diffusion (SD)

stable-diffusion-tensorflow

Stable Diffusion in TensorFlow / Keras

stable-diffusion

deep3d

Automatic 2D-to-3D Video Conversion with CNNs

stable-diffusion

DiffusionCLIP

[CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

humannerf

HumanNeRF turns a monocular video of moving people into a 360 free-viewpoint video.

stable-diffusion-aesthetic-gradients

Personalization for Stable Diffusion via Aesthetic Gradients 🎨

Conditional_Diffusion_MNIST

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

Dreambooth-SD-optimized

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

seed_travel

Small script for AUTOMATIC1111/stable-diffusion-webui to create images between two seeds

laion-datasets

Description and pointers of laion datasets

stable-diffusion-grpcserver

An implementation of a server for the Stability AI Stable Diffusion API

Deep3D

Real-Time end-to-end 2D-to-3D Video Conversion, based on deep learning.

Dreambooth-Stable-Diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion (tweaks focused on training faces)

StableDiffusionGUI

sd-prompt-graph

A curve-editor for Stable Diffusion prompt interpolation

ConceptsDreambooth

ConceptsDreambooth

clip-diffusion-art

Fine-tune diffusion models on custom datasets and sample with text-conditioning using CLIP guidance combined with SwinIR for super resolution.

Longhand

Text corpora in virtual reality

stable-diffusion-training

video-diffusion-pytorch

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

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

SRCNN-image-high-resolution-restoration

• Build CNN model using PyTorch, train on CAFFE dataset • Low-resolution images are used as input to the network to obtain high-resolution images with improved PSNR and closer to the original image.