Alokia/diffusion-DDPM-pytorch
This is a pytorch implementation of Denoising Diffusion Probabilistic Models
This project helps machine learning engineers and researchers generate new, synthetic images from scratch. You provide existing image datasets for training, and it produces diverse, high-quality images that resemble the training data. This is useful for expanding datasets or exploring generative model capabilities.
No commits in the last 6 months.
Use this if you need to generate new images that match the style and content of a dataset you already possess.
Not ideal if you are looking to modify existing images, translate images, or need a pre-trained model for immediate use without training.
Stars
31
Forks
1
Language
Python
License
—
Category
Last pushed
Jul 10, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/Alokia/diffusion-DDPM-pytorch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
bghira/SimpleTuner
A general fine-tuning kit geared toward image/video/audio diffusion models.
mcmonkeyprojects/SwarmUI
SwarmUI (formerly StableSwarmUI), A Modular Stable Diffusion Web-User-Interface, with an...
nateraw/stable-diffusion-videos
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
TheDesignFounder/DreamLayer
Benchmark diffusion models faster. Automate evals, seeds, and metrics for reproducible results.