README.md

---
license: openrail
size_categories:
- 1M<n<10M
---
# ImageNet Generated using Stable Diffusion v1.5

The following repository mimics the size and class structure of the original ImageNet database. The classes can be found in the `classes.txt` file. 

Here is an excerpt from `classes.txt`:

0 tench, Tinca tinca
1 goldfish, Carassius auratus
2 great white shark, white shark, man-eater, man-eating shark, Carcharodon caharias
3 tiger shark, Galeocerdo cuvieri
4 hammerhead, hammerhead shark
5 electric ray, crampfish, numbfish, torpedo
6 stingray
7 cock
8 hen
9 ostrich, Struthio camelus

Each category contains approximately 1300 images generated with the text prompt "A photo of {}" using seeds ranging from 1 to 1300. Stable diffusion v1.5 was used to generate all the images using the UniPCMultistepScheduler with 20 inference steps and the safety checker turned off. Images are 512x512 in resolution.

Below are some randomly sampled images from the dataset:

![Sample Image 1](seed_29.jpg)
*Class 115, Seed 29*

![Sample Image 2](seed_0.jpg)
*Class 220, Seed 0*

![Sample Image 3](seed_509.jpg)
*Class 714, Seed 509*

![Sample Image 4](seed_250.jpg)
*Class 894, Seed 250*