fallenshock/SinDDM
Official pytorch implementation of the paper: "SinDDM: A Single Image Denoising Diffusion Model"
This tool helps creative professionals and researchers generate diverse image variations and perform targeted edits using just a single input image. You provide one image, and the tool can produce new, unique images that share its characteristics, or modify specific parts of it based on text prompts. It's designed for graphic designers, artists, marketing specialists, and scientific researchers who work with visual media.
119 stars. No commits in the last 6 months.
Use this if you need to generate multiple unique images from a single example, or perform sophisticated image editing and manipulation with text prompts, without requiring a large dataset.
Not ideal if you need to perform basic image adjustments like cropping or color correction, or if you have a large collection of images for training a traditional generative model.
Stars
119
Forks
19
Language
Python
License
MIT
Category
Last pushed
Aug 20, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/fallenshock/SinDDM"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
quantgirluk/aleatory
📦 Python library for Stochastic Processes Simulation and Visualisation
blei-lab/treeffuser
Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression...
TuftsBCB/RegDiffusion
Diffusion model for gene regulatory network inference.
yuanchenyang/smalldiffusion
Simple and readable code for training and sampling from diffusion models
chairc/Integrated-Design-Diffusion-Model
IDDM (Industrial, landscape, animate, latent diffusion), support LDM, DDPM, DDIM, PLMS, webui...