opinionated bayesian optimisation for stable diffusion models block merge
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Updated
Aug 15, 2024 - Python
opinionated bayesian optimisation for stable diffusion models block merge
A Python library to read metadata from images created by Stable Diffusion.
This repository contains a stable diffusion costumed pipeline for generating images from images. The project aims to develop a robust system that leverages image-to-image generation techniques to create new images based on existing images. The pipeline utilizes a diffusion model and provides a stable and reliable approach to image generation.
GPT pose image generator to condition SD models with ControlNet OpenPose
An open source implementation of CLIP.
Hackable and optimized Transformers building blocks, supporting a composable construction.
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
Contrastive Language-Image Pretraining
Taming Transformers for High-Resolution Image Synthesis
Karras et al. (2022) diffusion models for PyTorch
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