feat(GRO-395): expand demo pet image library with 23 additional unique dog images

Generated diverse set of professional pet photos covering:
- Large breeds: German Shepherds (3), Golden Retrievers (2), Labradors (1)
- Medium breeds: Beagle, Cocker Spaniel, Boxer, Bulldog, Corgi, Dachshund, English Springer Spaniel, Husky
- Small breeds: Maltese, Shih Tzu, Pomeranian, Poodle, Pug, Yorkshire Terrier
- Mixed breeds: 4 variations

Total demo pet images: 55 (11MB)
Puggle-specific: 4 images for the 250+ seeded Puggles

This maximizes the MiniMax image generation quota to provide a rich,
diverse visual library for the grooming demo site.

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>

generate_dogs_bulk.py

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+#!/usr/bin/env python3
+import base64
+import requests
+import os
+import json
+import time
+from datetime import datetime
+
+api_key = os.environ.get("MINIMAX_API_KEY")
+if not api_key:
+    raise ValueError("MINIMAX_API_KEY environment variable not set")
+
+url = "https://api.minimax.io/v1/image_generation"
+headers = {"Authorization": f"Bearer {api_key}"}
+
+os.makedirs("minimax-output", exist_ok=True)
+
+# Comprehensive list of dog breeds and variations for diverse demo data
+dog_prompts = [
+    # Large breeds
+    ("german-shepherd-alert", "German Shepherd dog with alert expression, standing confidently, professional pet photography, studio lighting, photorealistic"),
+    ("golden-retriever-happy", "Golden Retriever with joyful expression, sitting, golden coat, natural daylight, professional pet photography, photorealistic"),
+    ("labrador-running", "Black Labrador Retriever running towards camera, outdoor park setting, dynamic pose, professional pet photography, photorealistic"),
+    ("german-shepherd-sitting", "German Shepherd sitting in front of studio backdrop, professional portrait, studio lighting, photorealistic"),
+    ("golden-retriever-lying", "Golden Retriever lying down on grass, peaceful expression, outdoor natural lighting, professional pet photography, photorealistic"),
+
+    # Medium breeds
+    ("beagle-curious", "Beagle with curious expression, sitting, outdoor garden setting, professional pet photography, photorealistic"),
+    ("cocker-spaniel-groomed", "Cocker Spaniel freshly groomed with fluffy coat, happy expression, professional grooming studio, photorealistic"),
+    ("english-springer-spaniel", "English Springer Spaniel in natural outdoor setting, alert pose, professional pet photography, photorealistic"),
+    ("boxer-playful", "Boxer dog with playful expression, standing, muscular build, professional studio lighting, photorealistic"),
+    ("bulldog-gentle", "English Bulldog with gentle expression, sitting, studio backdrop, professional pet photography, photorealistic"),
+
+    # Small breeds
+    ("maltese-fluffy", "Maltese dog with white fluffy coat, sitting, groomed appearance, professional pet photography, studio lighting, photorealistic"),
+    ("shih-tzu-groomed", "Shih Tzu with long groomed coat, sitting pretty, professional grooming studio, photorealistic"),
+    ("pomeranian-alert", "Pomeranian with alert expression, standing, fluffy coat, professional pet photography, photorealistic"),
+    ("yorkshire-terrier", "Yorkshire Terrier with silky coat, sitting, professional grooming environment, photorealistic"),
+    ("pug-curious", "Pug with curious expression, sitting, studio lighting, professional pet photography, photorealistic"),
+
+    # Specialty breeds
+    ("poodle-standard-groomed", "Standard Poodle with professionally groomed coat, standing in show stance, professional grooming studio, photorealistic"),
+    ("dachshund-long", "Long-haired Dachshund, lying down, relaxed pose, professional pet photography, photorealistic"),
+    ("corgi-happy", "Welsh Corgi with happy expression, standing, professional outdoor setting, photorealistic"),
+    ("husky-alert", "Siberian Husky with alert expression, sitting, professional pet photography, studio lighting, photorealistic"),
+    ("german-shepherd-lying", "German Shepherd lying down in relaxed pose, indoor setting, professional pet photography, photorealistic"),
+
+    # Mixed/rescue variations
+    ("mixed-breed-brown", "Brown and white mixed breed dog, friendly expression, sitting, professional pet photography, photorealistic"),
+    ("mixed-breed-black", "Black mixed breed dog with gentle eyes, standing, outdoor natural lighting, photorealistic"),
+    ("mixed-breed-spotted", "Spotted mixed breed dog, playful pose, outdoor park setting, professional pet photography, photorealistic"),
+    ("terrier-mix-sitting", "Terrier mix dog, alert expression, sitting, professional studio backdrop, photorealistic"),
+    ("spaniel-mix-outdoor", "Spaniel mix dog in outdoor garden, relaxed pose, natural daylight, professional pet photography, photorealistic"),
+
+    # Additional variations
+    ("labrador-golden", "Golden Labrador Retriever, calm expression, standing in professional pose, studio lighting, photorealistic"),
+    ("labrador-black-sitting", "Black Labrador Retriever sitting, gentle expression, professional pet photography, photorealistic"),
+    ("rottweiler-calm", "Rottweiler with calm expression, sitting, professional studio, photorealistic"),
+    ("doberman-alert", "Doberman Pinscher with alert expression, standing, professional pet photography, photorealistic"),
+    ("german-shepherd-side", "German Shepherd in side profile, standing, professional outdoor setting, photorealistic"),
+]
+
+print(f"Generating {len(dog_prompts)} unique dog images...")
+print(f"Start time: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
+print("")
+
+generated = 0
+failed = 0
+
+for i, (filename_base, prompt) in enumerate(dog_prompts, 1):
+    filename = f"dog-{filename_base}.png"
+    filepath = f"minimax-output/{filename}"
+
+    # Check if already exists
+    if os.path.exists(filepath):
+        size = os.path.getsize(filepath)
+        print(f"[{i:2d}/{len(dog_prompts)}] ✓ {filename} (already exists, {size} bytes)")
+        generated += 1
+        continue
+
+    print(f"[{i:2d}/{len(dog_prompts)}] Generating {filename}...", end=" ", flush=True)
+
+    payload = {
+        "model": "image-01",
+        "prompt": prompt,
+        "aspect_ratio": "1:1",
+        "response_format": "base64",
+    }
+
+    try:
+        response = requests.post(url, headers=headers, json=payload, timeout=120)
+
+        # Check for quota errors
+        if response.status_code == 429:
+            print(f"✗ QUOTA EXCEEDED")
+            print(f"\nQuota limit reached after {generated} successful generations")
+            break
+
+        response.raise_for_status()
+
+        data = response.json()
+        if "data" in data and "image_base64" in data["data"]:
+            images = data["data"]["image_base64"]
+
+            with open(filepath, "wb") as f:
+                f.write(base64.b64decode(images[0]))
+
+            file_size = os.path.getsize(filepath)
+            print(f"✓ ({file_size} bytes)")
+            generated += 1
+        else:
+            print(f"✗ Unexpected response format")
+            failed += 1
+
+    except requests.exceptions.Timeout:
+        print(f"✗ Timeout")
+        failed += 1
+    except requests.exceptions.RequestException as e:
+        if "429" in str(e) or "quota" in str(e).lower():
+            print(f"✗ QUOTA EXCEEDED")
+            print(f"\nQuota limit reached after {generated} successful generations")
+            break
+        else:
+            print(f"✗ {type(e).__name__}")
+            failed += 1
+    except Exception as e:
+        print(f"✗ {type(e).__name__}")
+        failed += 1
+
+    time.sleep(0.5)  # Small delay between requests
+
+print("")
+print(f"End time: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
+print(f"✓ Successfully generated: {generated}")
+print(f"✗ Failed: {failed}")
+print(f"\nCopying images to demo-pets directory...")
+
+# Copy all generated images to demo-pets
+import subprocess
+result = subprocess.run(
+    ["cp", "-v", "minimax-output/dog-*.png", "apps/web/public/demo-pets/"],
+    capture_output=True,
+    text=True
+)
+
+if result.returncode == 0:
+    # Count files in demo-pets
+    import glob
+    demo_pets = glob.glob("apps/web/public/demo-pets/dog-*.png")
+    print(f"✓ Copied to demo-pets. Total dog images: {len(demo_pets)}")
+else:
+    print(f"Note: Copy result - {result.stderr}")