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
Contrastive Language-Image Pretraining
Taming Transformers for High-Resolution Image Synthesis
Hackable and optimized Transformers building blocks, supporting a composable construction.
An open source implementation of CLIP.
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
Karras et al. (2022) diffusion models for PyTorch
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