johnowhitaker / imstackLinks
Optimizable stack of images at different resolutions, a useful representation of images for deep learning tasks. Docs: https://johnowhitaker.github.io/imstack/
☆11Updated 3 years ago
Alternatives and similar repositories for imstack
Users that are interested in imstack are comparing it to the libraries listed below
Sorting:
- Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.☆60Updated 3 years ago
- CLOOB training (JAX) and inference (JAX and PyTorch)☆72Updated 3 years ago
- ☆160Updated 3 years ago
- High-Resolution Image Synthesis with Latent Diffusion Models☆60Updated 3 years ago
- JAX implementation ViT-VQGAN☆83Updated 2 years ago
- CLOOB Conditioned Latent Diffusion training and inference code☆113Updated 3 years ago
- Official repository for MaGNET, ICLR 2022☆24Updated 2 years ago
- Inverts CLIP text embeds to image embeds and visualizes with deep-image-prior.☆35Updated 3 years ago
- Unified API to facilitate usage of pre-trained "perceptor" models, a la CLIP☆40Updated 2 years ago
- ☆28Updated 3 years ago
- Finetune the 1.4B latent diffusion text2img-large checkpoint from CompVis using deepspeed. (work-in-progress)☆36Updated 3 years ago
- ☆52Updated 2 years ago
- Script and models for clustering LAION-400m CLIP embeddings.☆26Updated 3 years ago
- Refactoring dalle-pytorch and taming-transformers for TPU VM☆60Updated 4 years ago
- Implementation of Retrieval-Augmented Denoising Diffusion Probabilistic Models in Pytorch☆65Updated 3 years ago
- checkpoints for glide finetuned on laion and other datasets. wip.☆50Updated 3 years ago
- ☆108Updated 2 years ago
- [NeurIPS 2022: Score-Based Modeling Workshop] Multiresolution Textual Inversion☆99Updated 2 years ago
- ☆91Updated 3 years ago
- Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt☆139Updated last year
- ☆45Updated last year
- Visual Taste Approximator (VTA) is a very simple tool that helps anyone create an automatic replica of themselves that can approximate th…☆39Updated 3 years ago
- Load any clip model with a standardized interface☆22Updated last week
- v objective diffusion inference code for JAX.☆214Updated 3 years ago
- ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.☆56Updated 3 years ago
- cheap views of intermediate Stable Diffusion results☆47Updated 2 years ago
- Yet Another Diffusion Automation☆13Updated 3 years ago
- Gradient-Free Textual Inversion for Personalized Text-to-Image Generation☆43Updated 2 years ago
- PyTorch implementation of Contrastive Feature Loss for Image Prediction (AIM Workshop at ICCV 2021)☆54Updated 3 years ago
- Finetune glide-text2im from openai on your own data.☆89Updated last week