SelfishGene / visual_taste_approximator
Visual Taste Approximator (VTA) is a very simple tool that helps anyone create an automatic replica of themselves that can approximate their own personal visual taste
☆39Updated 2 years ago
Alternatives and similar repositories for visual_taste_approximator:
Users that are interested in visual_taste_approximator are comparing it to the libraries listed below
- Unified API to facilitate usage of pre-trained "perceptor" models, a la CLIP☆39Updated 2 years ago
- Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.☆60Updated 3 years ago
- VQGAN+CLIP with some additional tuning. For notebooks and the command line.☆50Updated 3 years ago
- Majesty Diffusion by @Dango233 and @apolinario (@multimodalart)☆25Updated 2 years ago
- openai guided diffusion tweaks☆52Updated 2 years ago
- Inverts CLIP text embeds to image embeds and visualizes with deep-image-prior.☆35Updated 2 years ago
- Authors official PyTorch implementation of the "ContraCLIP: Interpretable GAN generation driven by pairs of contrasting sentences".☆42Updated 2 years ago
- ☆56Updated 2 years ago
- stylegan3_blending☆39Updated 3 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
- StyleGAN2-ADA - Official PyTorch implementation☆21Updated 3 years ago
- A notebook for text-based guided image generation using StyleGANXL and CLIP.☆59Updated last year
- CLOOB Conditioned Latent Diffusion training and inference code☆113Updated 3 years ago
- checkpoints for glide finetuned on laion and other datasets. wip.☆50Updated 2 years ago
- High-Resolution Image Synthesis with Latent Diffusion Models☆61Updated 3 years ago
- SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder (BMVC 2021)☆27Updated 3 years ago
- StyleGAN2-ADA trained on a dataset of 2000+ sneaker images☆21Updated 3 years ago
- Neural style transfer☆21Updated 3 years ago
- Optimizable stack of images at different resolutions, a useful representation of images for deep learning tasks. Docs: https://johnowhita…☆11Updated 2 years ago
- cheap views of intermediate Stable Diffusion results☆45Updated 2 years ago
- GPU accelerated Perlin Noise in python☆9Updated 4 years ago
- Google Colab notebooks☆43Updated 7 months ago
- ☆14Updated 3 years ago
- Tools for smoothly interpolating between prompts for Stable Diffusion models☆59Updated 2 years ago
- This repo contains various notebooks of expriment with clip performed by different peoples☆26Updated 4 years ago
- jupyter/colab implementation of stable-diffusion using k_lms sampler, cpu draw manual seeding, and quantize.py fix☆38Updated 2 years ago
- Repo for structured dreaming☆55Updated 3 years ago
- Official implementation of "Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics" (NeurIPS 2023)☆37Updated last year
- Navigating StyleGAN2 w latent space using CLIP☆56Updated 3 years ago
- A Real-ESRGAN equipped Colab notebook for CLIP Guided Diffusion☆83Updated 3 years ago