crowsonkb / cloob-training
CLOOB training (JAX) and inference (JAX and PyTorch)
☆70Updated 2 years ago
Alternatives and similar repositories for cloob-training:
Users that are interested in cloob-training are comparing it to the libraries listed below
- Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.☆60Updated 2 years ago
- CLOOB Conditioned Latent Diffusion training and inference code☆112Updated 2 years ago
- Finetune the 1.4B latent diffusion text2img-large checkpoint from CompVis using deepspeed. (work-in-progress)☆36Updated 2 years ago
- JAX implementation ViT-VQGAN☆82Updated 2 years ago
- Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch☆89Updated 3 years ago
- ☆28Updated 3 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
- ☆56Updated 2 years ago
- Experimental LDM uses of Paella's architecture☆34Updated 2 years ago
- Contrastive Language-Image Pretraining☆142Updated 2 years ago
- checkpoints for glide finetuned on laion and other datasets. wip.☆50Updated 2 years ago
- Refactoring dalle-pytorch and taming-transformers for TPU VM☆60Updated 3 years ago
- ☆156Updated 2 years ago
- ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.☆56Updated 2 years ago
- Script and models for clustering LAION-400m CLIP embeddings.☆25Updated 3 years ago
- High-Resolution Image Synthesis with Latent Diffusion Models☆61Updated 2 years ago
- Finetune glide-text2im from openai on your own data.☆89Updated 2 years ago
- ☆64Updated 3 years ago
- ☆88Updated 2 years ago
- Simple python template☆40Updated 10 months ago
- 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch☆50Updated 2 years ago
- ☆30Updated 3 years ago
- Un-*** 50 billions multimodality dataset☆24Updated 2 years ago
- ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis☆124Updated 2 years ago
- Implementation of Retrieval-Augmented Denoising Diffusion Probabilistic Models in Pytorch☆64Updated 2 years ago
- A CLIP conditioned Decision Transformer.☆22Updated 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☆137Updated last year
- Simple large-scale training of stable diffusion with multi-node support.☆128Updated last year
- Train vision models using JAX and 🤗 transformers☆96Updated last month