prepare_dummy_dataset.py

from datasets import Dataset, Features
from datasets import Image as ImageFeature
from datasets import Value
import numpy as np

TOTAL_SAMPLES = 100000

def gen_examples():
    for _ in range(TOTAL_SAMPLES):
        yield {
            "image": np.random.randint(low=0, high=255, size=(512, 512, 3)),
            "condtioning_image": np.random.randint(low=0, high=255, size=(512, 512, 3)),
            "caption": "Killswitch engage",
        }

ds = Dataset.from_generator(
    gen_examples,
    features=Features(
        image=ImageFeature(),
        condtioning_image=ImageFeature(),
        caption=Value("string"),
    ),
    num_proc=8
)

ds_name = f"dummy-controlnet-{TOTAL_SAMPLES}-samples"
ds.push_to_hub(ds_name)