Create prepare_dummy_dataset.py

prepare_dummy_dataset.py

@@ -0,0 +1,27 @@
+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)