lkwq007 / CogView2-low-vram
CogView2 for GPUs with 12/16/24GB vRAM
☆16Updated 2 years ago
Alternatives and similar repositories for CogView2-low-vram:
Users that are interested in CogView2-low-vram are comparing it to the libraries listed below
- Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.☆60Updated 3 years ago
- Google Colab notebooks☆43Updated 7 months ago
- Text-to-video generation.☆10Updated 2 years ago
- Unified API to facilitate usage of pre-trained "perceptor" models, a la CLIP☆39Updated 2 years ago
- Inverts CLIP text embeds to image embeds and visualizes with deep-image-prior.☆35Updated 2 years ago
- CLOOB Conditioned Latent Diffusion training and inference code☆113Updated 3 years ago
- VQGAN+CLIP with some additional tuning. For notebooks and the command line.☆50Updated 3 years ago
- Finetune the 1.4B latent diffusion text2img-large checkpoint from CompVis using deepspeed. (work-in-progress)☆36Updated 3 years ago
- A CLIP conditioned Decision Transformer.☆22Updated 3 years ago
- Majesty Diffusion by @Dango233 and @apolinario (@multimodalart)☆25Updated 2 years ago
- SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder (BMVC 2021)☆27Updated 3 years ago
- Script and models for clustering LAION-400m CLIP embeddings.☆26Updated 3 years ago
- checkpoints for glide finetuned on laion and other datasets. wip.☆50Updated 2 years ago
- ☆13Updated 4 years ago
- ☆28Updated 3 years ago
- A CLI tool for using GLIDE to generate images from text.☆68Updated 2 years ago
- High-Resolution Image Synthesis with Latent Diffusion Models☆61Updated 3 years ago
- CLOOB training (JAX) and inference (JAX and PyTorch)☆71Updated 2 years ago
- openai guided diffusion tweaks☆52Updated 2 years ago
- Generate images from texts. In Russian☆19Updated 3 years ago
- High-Resolution Image Synthesis with Latent Diffusion Models☆9Updated 2 years ago
- Repository for Fantastic Style Channels and Where to Find Them: A Submodular Framework for Discovering Diverse Directions in GANs☆28Updated 3 years ago
- Visual Taste Approximator (VTA) is a very simple tool that helps anyone create an automatic replica of themselves that can approximate th…☆39Updated 2 years ago
- Anim·E, Anime Enhanced dalle mini☆42Updated 2 years ago
- Train a StyleGAN2 model on Colaboratory to generate Steam banners.☆32Updated 3 years ago
- Navigating StyleGAN2 w latent space using CLIP☆56Updated 3 years ago
- PyTorch implementation of paper: Paint Transformer: Feed Forward Neural Painting with Stroke Prediction, ICCV 2021.☆28Updated 3 years ago
- v objective diffusion inference code for PyTorch.☆15Updated 3 years ago
- CLIP and PASTE: Using AI to Create Photo Collages from Text Prompts☆29Updated 2 years ago
- Implementation of Denoising Diffusion Probabilistic Model in Pytorch☆17Updated last year