ai-forever / tuned-vq-ganLinks
☆28Updated 3 years ago
Alternatives and similar repositories for tuned-vq-gan
Users that are interested in tuned-vq-gan are comparing it to the libraries listed below
Sorting:
- ☆26Updated 4 years ago
- A simple library that implements CLIP guided loss in PyTorch.☆77Updated 3 years ago
- RUDOLPH: One Hyper-Tasking Transformer can be creative as DALL-E and GPT-3 and smart as CLIP☆253Updated 2 years ago
- ☆129Updated 3 years ago
- ☆56Updated 3 years ago
- Finetune glide-text2im from openai on your own data.☆89Updated last month
- Navigating StyleGAN2 w latent space using CLIP☆56Updated 4 years ago
- CLOOB training (JAX) and inference (JAX and PyTorch)☆74Updated 3 years ago
- Achieving photorealistic quality by scaling up StyleGAN2☆179Updated 4 years ago
- CLOOB Conditioned Latent Diffusion training and inference code☆111Updated 3 years ago
- Anim·E, Anime Enhanced dalle mini☆40Updated 3 years ago
- checkpoints for glide finetuned on laion and other datasets. wip.☆50Updated 3 years ago
- scripts for running and training imagen-pytorch☆38Updated 3 years ago
- Finetune the 1.4B latent diffusion text2img-large checkpoint from CompVis using deepspeed. (work-in-progress)☆36Updated 3 years ago
- ☆196Updated 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
- A CLI tool for using GLIDE to generate images from text.☆68Updated 3 years ago
- ☆112Updated 4 years ago
- Inverts CLIP text embeds to image embeds and visualizes with deep-image-prior.☆35Updated 3 years ago
- ☆274Updated 3 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
- combination of OpenAI GLIDE and Latent Diffusion☆135Updated 3 years ago
- Using CLIP and StyleGAN to generate faces from prompts.☆132Updated 4 years ago
- ☆28Updated 3 years ago
- TensorFlow implementation of our CVPR 2021 Paper "Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes".☆167Updated 4 years ago
- ☆241Updated 3 years ago
- ☆63Updated 4 years ago
- CLIP implementation for Russian language☆147Updated last year
- I have trained StyleGAN2 from scratch with a dataset of female portraits at 1024px resolution.☆217Updated 4 years ago