Upload generate-image.py with huggingface_hub

generate-image.py

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+# /// script
+# requires-python = ">=3.11"
+# dependencies = [
+#     "huggingface-hub[hf_transfer]",
+#     "pillow",
+#     "torch",
+#     "diffusers",
+#     "accelerate",
+#     "transformers",
+#     "python-slugify",
+# ]
+#
+# ///
+
+import argparse
+import os
+import torch
+from diffusers import AutoPipelineForText2Image
+from huggingface_hub import HfApi, login
+from slugify import slugify
+
+def main(prompt: str, repo: str, hf_token: str = None):
+    HF_TOKEN = hf_token or os.environ.get("HF_TOKEN")
+
+    if HF_TOKEN:
+        login(token=HF_TOKEN)
+
+    name = slugify(prompt)
+    filename = f"{name}.png"
+    model_id = "stabilityai/stable-diffusion-xl-base-1.0"
+    api = HfApi()
+
+    print(f"Loading model: {model_id}...")
+    pipe = AutoPipelineForText2Image.from_pretrained(
+        model_id, torch_dtype=torch.float16, variant="fp16"
+    ).to("cuda")
+
+    print(f"Generating image for prompt: '{prompt}'...")
+    image = pipe(prompt=prompt).images[0]
+    temp_image_path = f"/tmp/{filename}"
+    image.save(temp_image_path)
+    print(f"Image saved temporarily to {temp_image_path}")
+
+    print(f"Uploading {filename} to dataset repository: {repo}...")
+    api.upload_file(
+        path_or_fileobj=temp_image_path,
+        path_in_repo=filename,
+        repo_id=repo,
+        repo_type="dataset",
+        commit_message=f"add {filename}"
+    )
+    repo_url = f"https://huggingface.co/datasets/{repo}/tree/main"
+    print(f"View it here: {repo_url}")
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Generate a single image using HF Jobs.")
+    parser.add_argument("--prompt", required=True, help="The text prompt to generate an image from.")
+    parser.add_argument("--repo", required=True, help="Your destination dataset repository ID.")
+    parser.add_argument("--hf-token", help="Hugging Face API token.")
+    args = parser.parse_args()
+    main(prompt=args.prompt, repo=args.repo, hf_token=args.hf_token)