afiaka87 / clip-guided-diffusion
A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
☆462Updated 3 years ago
Alternatives and similar repositories for clip-guided-diffusion:
Users that are interested in clip-guided-diffusion are comparing it to the libraries listed below
- Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.☆387Updated 2 years ago
- v objective diffusion inference code for PyTorch.☆716Updated 2 years ago
- ☆351Updated 2 years ago
- A collection of pretrained models for StyleGAN3☆291Updated 2 years ago
- v objective diffusion inference code for JAX.☆214Updated 3 years ago
- Modifications of the official PyTorch implementation of StyleGAN3. Let's easily generate images and videos with StyleGAN2/2-ADA/3!☆244Updated 4 months ago
- A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.☆211Updated 3 years ago
- [SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets☆980Updated 10 months ago
- StyleGAN2-ADA - Official PyTorch implementation☆245Updated 11 months ago
- ☆1,176Updated 2 years ago
- ☆275Updated 2 years ago
- ☆151Updated last year
- 1.4B latent diffusion model fine tuning☆265Updated 2 years ago
- Styled text-to-drawing synthesis method. Featured at IJCAI 2022 and the 2021 NeurIPS Workshop on Machine Learning for Creativity and Desi…☆279Updated 2 years ago
- Pytorch implementation of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors☆336Updated 2 years ago
- ☆198Updated 3 years ago
- Here is a collection of checkpoints for DALLE-pytorch models, from where you can keep on training or start generating images.☆146Updated 2 years ago
- Official Implementation of "Third Time's the Charm? Image and Video Editing with StyleGAN3" (AIM ECCVW 2022) https://arxiv.org/abs/2201.1…☆680Updated 2 years ago
- combination of OpenAI GLIDE and Latent Diffusion☆136Updated 3 years ago
- ☆290Updated 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
- Dataset of prompts, synthetic AI generated images, and aesthetic ratings.☆412Updated 2 years ago
- Benchmarking Generative Models with Artworks☆227Updated 2 years ago
- Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"☆180Updated 3 years ago
- [ICCV 2021] Aligning Latent and Image Spaces to Connect the Unconnectable☆256Updated 3 years ago
- Majesty Diffusion by @Dango233(@Dango233max) and @apolinario (@multimodalart)☆276Updated 2 years ago
- VQGAN+CLIP Colab Notebook with user-friendly interface.☆230Updated 2 years ago
- Official repository for the paper "Instance-Conditioned GAN" by Arantxa Casanova, Marlene Careil, Jakob Verbeek, Michał Drożdżal, Adriana…☆539Updated 3 years ago
- Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766☆960Updated last year
- A collection of pre-trained StyleGAN models to download☆329Updated 5 years ago