backup

2026-05-15 18:02:38 +02:00
parent 72016728e2
commit 307e452251
175 changed files with 9316 additions and 0 deletions
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+"""Regenerate commercial-overview.jpg with a clear commercial carpet scene."""
+import os, sys
+try:
+    from google import genai
+    from google.genai import types
+except ImportError:
+    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", "services")
+client  = genai.Client(api_key=API_KEY)
+
+PROMPTS = [
+    (
+        "Wide shot of a modern commercial office building lobby with clean grey carpet throughout. "
+        "Professional corporate interior, glass doors, white walls, overhead lighting. "
+        "The carpet is spotless and freshly cleaned — uniform, well-maintained. "
+        "No people. No machines. No equipment. Professional architectural photography, ultra-realistic."
+    ),
+    (
+        "Wide interior shot of a bright commercial building corridor with clean, dark grey commercial carpet. "
+        "Modern office environment, glass partitions, professional lighting. "
+        "The carpet looks freshly cleaned and spotless. "
+        "No people, no equipment. Professional photography, ultra-realistic."
+    ),
+]
+
+out_path = os.path.join(OUT_DIR, "commercial-overview.jpg")
+
+for i, prompt in enumerate(PROMPTS):
+    print(f"Attempt {i+1}...")
+    try:
+        resp = client.models.generate_images(
+            model="imagen-4.0-generate-001",
+            prompt=prompt,
+            config=types.GenerateImagesConfig(
+                number_of_images=1, aspect_ratio="4:3",
+                output_mime_type="image/jpeg",
+                safety_filter_level="block_low_and_above",
+            ),
+        )
+        if resp.generated_images:
+            b = resp.generated_images[0].image.image_bytes
+            with open(out_path, "wb") as f:
+                f.write(b)
+            print(f"Saved ({len(b)//1024}KB)")
+            break
+        else:
+            print("No image returned")
+    except Exception as e:
+        print(f"Error: {e}")
+
+print("Done.")