💡 PseudoDiffusers: paper/code review and experimental findings related to computer vision generation and diffusion-based models
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Updated
May 29, 2024 - HTML
💡 PseudoDiffusers: paper/code review and experimental findings related to computer vision generation and diffusion-based models
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Python code for solving and visualizing “probability flow” Ordinary Differential Equations (ODEs)
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
collection of diffusion model papers categorized by their subareas
Lumina-T2X is a unified framework for Text to Any Modality Generation
MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising
Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion_NLP_Papers".
SVG Differentiable Rendering: Generating vector graphics using neural 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.
Stable Diffusion web UI
A Python package for estimating diffusion properties from molecular dynamics simulations.
Face Generation using Guided Diffusion Models, part of a masters thesis project
Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynamics model to run the reverse denoising process to generate high-quality trajectories.
Python package to apply the Safety Checker from Stable Diffusion.
Stable Diffusion in pure C/C++
An advanced singing voice synthesis system with high fidelity, expressiveness, controllability and flexibility based on DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
Python package for simulation of spreading phenomena in complex networks
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