lehduong/OneDiffusion
Official implementation of OneDiffusion paper (CVPR 2025)
This tool helps creative professionals like graphic designers, marketers, or digital artists generate a wide variety of images and visual content from text descriptions or existing images. You provide text prompts, reference images, or specific instructions, and it outputs new images, edited images, or even multiple views of a subject. It's designed for anyone needing advanced image generation and manipulation without deep technical knowledge of AI models.
665 stars. No commits in the last 6 months.
Use this if you need a versatile tool to generate high-quality images from text, customize subjects across different scenes, create multiple views from a single image, or edit existing images with specific instructions.
Not ideal if you require very low memory usage for image generation, as it needs a GPU with at least 12GB of memory (more for higher resolutions or complex tasks).
Stars
665
Forks
19
Language
Python
License
—
Category
Last pushed
Dec 14, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/lehduong/OneDiffusion"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
cswry/SeeSR
[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
JJLibra/SALAD-Pan
🤗 Official implementation for "SALAD-Pan: Sensor-Agnostic Latent Adaptive Diffusion for...
open-mmlab/mmgeneration
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
Janspiry/Image-Super-Resolution-via-Iterative-Refinement
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
hanjq17/Spectrum
[CVPR 2026] Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration