Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models
-
Updated
Jun 12, 2024
Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models
Generate Art
Stable Diffusion web UI
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Stable Diffusion in pure C/C++
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Bachelor thesis project regarding continuous approximations of discrete phylogenetic migration models.
Stable Diffusion with only one python script, with the least number of lines and in the least complex way.
collection of diffusion model papers categorized by their subareas
Processing and visualization tools for quantitative MRI data
Python package for simulation of spreading phenomena in complex networks
Easiest 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.
The aim of this repository is to create a Flow-Matching-based model capable of doing text2img, solving inverse problems: jpeg restoration, debluring, denoising, superres, coloring, inpainting, outpainting.
[Arxiv] A Survey on Video Diffusion Models
A minimal implementation of a denoising diffusion model in PyTorch.
Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion_NLP_Papers".
Image generation UI for diffusers.
Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.
Python package to apply the Safety Checker from Stable Diffusion.
web UI for GPU-accelerated ONNX pipelines like Stable Diffusion, even on Windows and AMD
Add a description, image, and links to the diffusion topic page so that developers can more easily learn about it.
To associate your repository with the diffusion topic, visit your repo's landing page and select "manage topics."