backup

2026-05-15 18:02:38 +02:00
parent 72016728e2
commit 307e452251
175 changed files with 9316 additions and 0 deletions
@@ -0,0 +1,106 @@
+"""
+Lahr Carpet Cleaning — Gemini Imagen hero image generator.
+Generates: hero living room, cleaning in progress, clean result.
+Saves to: assets/images/hero/
+Run: python3 tools/gen-images.py
+"""
+import os
+import sys
+
+try:
+    from google import genai
+    from google.genai import types
+except ImportError:
+    print("Installing google-genai...")
+    os.system(f"{sys.executable} -m pip install google-genai --quiet")
+    from google import genai
+    from google.genai import types
+
+API_KEY = os.environ.get("GEMINI_API_KEY", "AIzaSyB_1p8KvaT_rdNJGPs8HKk8bKsvUlcL6Kg")
+OUT_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), "assets", "images", "hero")
+os.makedirs(OUT_DIR, exist_ok=True)
+
+client = genai.Client(api_key=API_KEY)
+
+IMAGES = [
+    {
+        "name": "hero-living-room",
+        "prompt": (
+            "Luxurious modern living room with spotlessly clean cream carpet, "
+            "natural light streaming through large windows, contemporary furniture, "
+            "professional interior photography, warm inviting atmosphere, no people, "
+            "ultra-realistic, 8K quality"
+        ),
+        "aspect": "16:9",
+    },
+    {
+        "name": "hero-clean-result",
+        "prompt": (
+            "Pristine white plush carpet in a beautiful upscale residential home, "
+            "dramatic before-after transformation, deeply cleaned carpet with "
+            "vacuum lines visible, natural light, professional photography, no people"
+        ),
+        "aspect": "16:9",
+    },
+    {
+        "name": "hero-technician",
+        "prompt": (
+            "Professional carpet cleaning technician pushing a large upright hot water "
+            "extraction machine across residential carpet in a bright modern home interior. "
+            "Machine resembles an oversized upright vacuum cleaner with a cylindrical body. "
+            "No steam visible anywhere, no water spraying, no hoses visible, completely dry. "
+            "Technician shown from behind or side, no face, plain black shirt, no logo. "
+            "High-end professional photography."
+        ),
+        "aspect": "16:9",
+    },
+    {
+        "name": "hero-before-after",
+        "prompt": (
+            "Side-by-side residential living room carpet: left half heavily soiled with mud "
+            "and dark stains, right half same carpet after professional hot water extraction "
+            "cleaning, bright and pristine. No steam, no water, no machines visible anywhere. "
+            "Dramatic before-after contrast. Professional photography, no people."
+        ),
+        "aspect": "16:9",
+    },
+    {
+        "name": "hero-stairs",
+        "prompt": (
+            "Beautiful staircase with freshly cleaned plush carpet on stairs, "
+            "modern home interior, natural light from above, professional result, "
+            "no people, architectural photography, high-end residential"
+        ),
+        "aspect": "3:4",
+    },
+]
+
+def generate():
+    for item in IMAGES:
+        out_path = os.path.join(OUT_DIR, f"{item['name']}.jpg")
+        print(f"Generating {item['name']}...")
+        try:
+            resp = client.models.generate_images(
+                model="imagen-4.0-generate-001",
+                prompt=item["prompt"],
+                config=types.GenerateImagesConfig(
+                    number_of_images=1,
+                    aspect_ratio=item["aspect"],
+                    output_mime_type="image/jpeg",
+                    safety_filter_level="block_low_and_above",
+                ),
+            )
+            if resp.generated_images:
+                image_bytes = resp.generated_images[0].image.image_bytes
+                with open(out_path, "wb") as f:
+                    f.write(image_bytes)
+                size_kb = len(image_bytes) // 1024
+                print(f"  Saved {out_path} ({size_kb}KB)")
+            else:
+                print(f"  No image returned for {item['name']}")
+        except Exception as e:
+            print(f"  Error on {item['name']}: {e}")
+
+if __name__ == "__main__":
+    generate()
+    print("\nDone. Images in assets/images/hero/")