Add new game assets and update asset paths in code

src/game/ui/hud.gd

@@ -5,16 +5,16 @@ extends CanvasLayer
 
 const Rules := preload("res://src/core/rules.gd")
 const Strings := preload("res://src/core/strings.gd")
-const T_VIGNETTE := preload("res://assets/textures/vignette.png")
-const T_ICON_FLASH := preload("res://assets/textures/icons/flashlight_on.png")
-const T_ICON_DOOR := preload("res://assets/textures/icons/door_locked.png")
-const T_ICON_WAND := preload("res://assets/textures/icons/wand.png")
-const T_ICON_REC := preload("res://assets/textures/icons/rec_dot.png")
-const T_CARD_ID := preload("res://assets/textures/cards/id_card.png")
-const T_CARD_WRIST := preload("res://assets/textures/cards/wristband.png")
-const T_CARD_TICKET := preload("res://assets/textures/cards/ticket.png")
-const T_CARD_CRED := preload("res://assets/textures/cards/credential.png")
-const T_CARD_GUEST := preload("res://assets/textures/cards/guest_list.png")
+const T_VIGNETTE := preload("res://assets/textures/ai/game_ready/vignette.png")
+const T_ICON_FLASH := preload("res://assets/textures/ai/game_ready/icons/flashlight_on.png")
+const T_ICON_DOOR := preload("res://assets/textures/ai/game_ready/icons/door_locked.png")
+const T_ICON_WAND := preload("res://assets/textures/ai/game_ready/icons/wand.png")
+const T_ICON_REC := preload("res://assets/textures/ai/game_ready/icons/rec_dot.png")
+const T_CARD_ID := preload("res://assets/textures/ai/game_ready/cards/id_card.png")
+const T_CARD_WRIST := preload("res://assets/textures/ai/game_ready/cards/wristband.png")
+const T_CARD_TICKET := preload("res://assets/textures/ai/game_ready/cards/ticket.png")
+const T_CARD_CRED := preload("res://assets/textures/ai/game_ready/cards/credential.png")
+const T_CARD_GUEST := preload("res://assets/textures/ai/game_ready/cards/guest_list.png")
 const CARD_TEXTURES := {
 	Rules.AccessKind.ID: T_CARD_ID,
 	Rules.AccessKind.WRISTBAND: T_CARD_WRIST,

src/game/world_builder.gd

@@ -1,11 +1,11 @@
 class_name WorldBuilder
 ## Procedurally assembles a minimal Hollywood Boulevard entrance prototype:
 
-const T_BRICK := preload("res://assets/textures/brick_facade.png")
-const T_CONCRETE := preload("res://assets/textures/concrete.png")
-const T_ASPHALT := preload("res://assets/textures/asphalt.png")
-const T_AWNING := preload("res://assets/textures/awning.png")
-const T_SKYLINE := preload("res://assets/textures/skyline.png")
+const T_BRICK := preload("res://assets/textures/ai/game_ready/brick_facade.png")
+const T_CONCRETE := preload("res://assets/textures/ai/game_ready/concrete.png")
+const T_ASPHALT := preload("res://assets/textures/ai/game_ready/asphalt.png")
+const T_AWNING := preload("res://assets/textures/ai/game_ready/awning.png")
+const T_SKYLINE := preload("res://assets/textures/ai/game_ready/skyline.png")
 ## steps, building facade, restricted door, sidewalk, pavement, and street edge.
 ## No art assets required; all geometry is BoxMesh with flat materials.
 

tools/asset_pipeline.py

@@ -12,6 +12,12 @@ import generate_textures
 
 ROOT = Path(__file__).resolve().parent.parent
 IMAGE_EXTENSIONS = {".png", ".jpg", ".jpeg", ".webp", ".bmp", ".tif", ".tiff"}
+DEFAULT_ROLE_IMAGE_MODEL = "openai/gpt-5-image-mini"
+API_ASPECTS = {
+    "texture": "1:1", "tile": "1:1", "icon": "1:1", "app_icon": "1:1",
+    "overlay": "1:1", "card": "3:2", "banner": "3:2", "backdrop": "3:2",
+    "background": "3:2",
+}
 
 PROFILES = {
     "texture": {"target": (512, 512), "min": (256, 256), "max": (1024, 1024),
@@ -24,15 +30,20 @@ PROFILES = {
     "app_icon": {"target": (1024, 1024), "min": (512, 512), "max": (1024, 1024),
                  "aspect": 1.0, "alpha": None, "view": "square, centered composition"},
     "overlay": {"target": (512, 512), "min": (256, 256), "max": (1024, 1024),
-                "aspect": 1.0, "alpha": None, "view": "screen-space overlay"},
+                "aspect": 1.0, "alpha": None, "view": "screen-space overlay",
+                "min_contrast": 5.0},
     "card": {"target": (256, 128), "min": (128, 64), "max": (1024, 512),
              "aspect": 2.0, "alpha": None, "view": "flat, front-facing card"},
     "banner": {"target": (1024, 256), "min": (512, 128), "max": (2048, 512),
                "aspect": 4.0, "alpha": None, "view": "flat, front-facing banner"},
     "backdrop": {"target": (1024, 256), "min": (1024, 256), "max": (8192, 2048),
-                 "aspect": 4.0, "alpha": None, "view": "straight-on wide backdrop"},
+                 "aspect": 4.0, "alpha": True,
+                 "view": "straight-on wide backdrop on transparency"},
     "background": {"target": (1920, 1080), "min": (1280, 720), "max": (8192, 4320),
                    "aspect": 16 / 9, "alpha": None, "view": "intended game camera and horizon"},
+    "screenshot": {"target": (1280, 720), "min": (1280, 720), "max": (3840, 2160),
+                   "aspect": 16 / 9, "alpha": None, "view": "gameplay frame, venue, and UI state",
+                   "min_contrast": 5.0},
 }
 
 ROLE_GUIDANCE = {
@@ -41,10 +52,10 @@ ROLE_GUIDANCE = {
     "icon": "single centered flat UI glyph, clean silhouette, transparent background, no mockup or perspective",
     "app_icon": "square game application icon, centered composition, no perspective",
     "overlay": "screen-space overlay texture with transparent edges, no perspective",
-    "card": "single front-facing flat game UI card, no perspective, no surrounding mockup",
-    "banner": "wide front-facing game banner texture, no perspective, no surrounding scene",
-    "backdrop": "wide seamless-looking game environment backdrop, straight-on view, no foreground objects",
-    "background": "wide 16:9 game background environment with a coherent horizon and straight camera view",
+    "card": "single wide landscape game UI card filling the frame, front-facing and flat, no perspective, no surrounding mockup or whitespace",
+    "banner": "wide front-facing game banner texture, keep important details in a narrow horizontal band through the image center for final cropping, no perspective, no surrounding scene",
+    "backdrop": "wide isolated skyline silhouette across a low horizon in a narrow horizontal band through the image center, transparent background, no foreground objects",
+    "background": "wide 16:9 game background with a coherent horizon and straight camera view, keep important details in the central horizontal band for final cropping",
 }
 
 
@@ -137,6 +148,8 @@ def resize_image(source, output, width, height, fit="contain", background=(0, 0,
 def infer_role(path):
     parts = [part.lower() for part in path.parts]
     stem = path.stem.lower()
+    if "screenshots" in parts or "screenshot" in stem:
+        return "screenshot"
     if "icons" in parts:
         return "icon"
     if "cards" in parts:
@@ -193,6 +206,8 @@ def audit_image(path, role="auto", seam_threshold=18.0):
                     f"wrong aspect ratio: {actual_aspect:.3f}; expected about {aspect:.3f}")
             if profile.get("alpha") is True and not alpha:
                 errors.append("transparency required but image is opaque")
+            if alpha and image.convert("RGBA").getchannel("A").getbbox() is None:
+                errors.append("image is fully transparent")
             elif profile.get("alpha") is False and alpha:
                 warnings.append(
                     "image has an alpha channel although this role is normally opaque")
@@ -204,20 +219,27 @@ def audit_image(path, role="auto", seam_threshold=18.0):
                 if edge_difference > seam_threshold:
                     errors.append(
                         f"tile edges differ by {edge_difference:.1f} (limit {seam_threshold:.1f})")
+            contrast = None
+            if profile.get("min_contrast") is not None:
+                contrast = ImageStat.Stat(image.convert("L")).stddev[0]
+                if contrast < profile["min_contrast"]:
+                    errors.append(
+                        f"near-blank frame: contrast {contrast:.1f} is below {profile['min_contrast']:.1f}")
             manual_review = [
                 f"Confirm {profile.get('view', 'intended')} perspective/projection visually; "
                 "automated checks cannot infer it reliably."
             ]
             return {
                 "path": str(path), "role": chosen_role, "size": [width, height],
-                "alpha": alpha, "edge_difference": edge_difference,
+                "alpha": alpha, "edge_difference": edge_difference, "contrast": contrast,
                 "quality": "bad" if errors else "good",
                 "errors": errors, "warnings": warnings, "manual_review": manual_review,
             }
     except (OSError, ValueError) as exc:
         return {
             "path": str(path), "role": chosen_role, "size": None, "alpha": None,
-            "edge_difference": None, "quality": "bad", "errors": [f"cannot read image: {exc}"],
+            "edge_difference": None, "contrast": None, "quality": "bad",
+            "errors": [f"cannot read image: {exc}"],
             "warnings": [], "manual_review": [],
         }
 
@@ -246,13 +268,19 @@ def _generate(args):
         "alpha") is True
     prompt = f"{args.prompt.strip()}. {ROLE_GUIDANCE[args.role]}."
     image = generate_textures.generate_image(
-        prompt, args.model, args.request_size, transparent)
+        prompt, args.model, args.request_size, transparent,
+        aspect_ratio=API_ASPECTS[args.role])
+    foreground = getattr(args, "foreground", None)
+    if foreground:
+        image = colorize_alpha(image, foreground)
     if args.role == "icon" and has_alpha(image):
         image = resize_image_from_image(
             image, width, height, "contain", (0, 0, 0, 0))
     else:
         image = ImageOps.fit(image, (width, height),
                              method=Image.Resampling.LANCZOS)
+    if args.role == "tile":
+        image = make_seamless(image)
     save_image(image, resolve_path(args.output))
 
 
@@ -273,6 +301,53 @@ def resize_image_from_image(image, width, height, fit, background):
     return result
 
 
+def colorize_alpha(image, color):
+    if not has_alpha(image):
+        raise ValueError(
+            "foreground color requires an image with transparency")
+    result = Image.new("RGBA", image.size, color[:3])
+    result.putalpha(image.convert("RGBA").getchannel("A"))
+    return result
+
+
+def make_seamless(image, band=32):
+    original_mode = image.mode
+    result = image.convert("RGBA")
+    width, height = result.size
+    pixels = result.load()
+    band = min(band, width // 4, height // 4)
+
+    def blend_edges(first_index, last_index, length, across_length, horizontal):
+        for offset in range(band):
+            weight = 1.0 - offset / band
+            first = first_index(offset)
+            last = last_index(offset)
+            for across in range(across_length):
+                first_pos = (first, across) if horizontal else (across, first)
+                last_pos = (last, across) if horizontal else (across, last)
+                first_color = pixels[first_pos]
+                last_color = pixels[last_pos]
+                average = tuple((a + b) / 2 for a,
+                                b in zip(first_color, last_color))
+                pixels[first_pos] = tuple(round(a * (1 - weight) + b * weight)
+                                          for a, b in zip(first_color, average))
+                pixels[last_pos] = tuple(round(a * (1 - weight) + b * weight)
+                                         for a, b in zip(last_color, average))
+
+    blend_edges(lambda offset: offset, lambda offset: width - 1 - offset,
+                width, height, True)
+    blend_edges(lambda offset: offset, lambda offset: height - 1 - offset,
+                height, width, False)
+    return result if has_alpha(image) else result.convert(original_mode)
+
+
+def seamless_image(source, output):
+    with Image.open(source) as image:
+        image.load()
+        result = make_seamless(image)
+    save_image(result, output)
+
+
 def build_parser():
     parser = argparse.ArgumentParser(
         description="Create and validate game image assets.")
@@ -283,13 +358,16 @@ def build_parser():
     generate.add_argument("--prompt", required=True)
     generate.add_argument("--output", required=True,
                           help="output path, relative to the project root or absolute")
-    generate.add_argument("--role", choices=PROFILES, required=True)
+    generate.add_argument("--role", choices=API_ASPECTS, required=True)
     generate.add_argument(
-        "--model", default=generate_textures.DEFAULT_IMAGE_MODEL)
+        "--model", default=DEFAULT_ROLE_IMAGE_MODEL)
     generate.add_argument("--request-size", type=int,
                           default=generate_textures.GEN_SIZE)
     generate.add_argument("--width", type=int)
     generate.add_argument("--height", type=int)
+    generate.add_argument(
+        "--foreground", type=parse_color,
+        help="replace visible RGB with this color while preserving alpha")
     alpha = generate.add_mutually_exclusive_group()
     alpha.add_argument("--transparent", dest="transparent",
                        action="store_true")
@@ -320,6 +398,13 @@ def build_parser():
     resize.set_defaults(handler=lambda args: resize_image(resolve_path(args.input), resolve_path(args.output),
                                                           args.width, args.height, args.fit, args.background))
 
+    seamless = commands.add_parser(
+        "seamless", help="blend opposite edges of a texture for tiling")
+    seamless.add_argument("input")
+    seamless.add_argument("output")
+    seamless.set_defaults(handler=lambda args: seamless_image(
+        resolve_path(args.input), resolve_path(args.output)))
+
     audit = commands.add_parser(
         "audit", help="classify images as good/bad using their game-asset role")
     audit.add_argument("paths", nargs="+", help="image files or directories")

tools/generate_textures.py

@@ -373,23 +373,32 @@ def _api_key() -> str:
 
 
 def generate_image(prompt: str, model: str, size: int,
-                   transparent: bool = False) -> Image.Image:
+                   transparent: bool = False,
+                   aspect_ratio: str = "1:1") -> Image.Image:
     """Call the OpenRouter image API and return the decoded PIL image.
 
-    Requests a square image at `size` px and decodes the base64 PNG/JPEG/WebP
-    bytes returned in `data[].b64_json`. The requested size is clamped to at
-    least GEN_SIZE because some models (e.g. seedream) reject small outputs;
-    callers downscale the result to MAX_DIM afterwards. When `transparent` is
-    true, the API is asked for a transparent background (PNG alpha).
+    Requests a square image at `size` px or a role-shaped image at the matching
+    resolution tier and decodes `data[].b64_json`. Seedream's square requests
+    retain the existing GEN_SIZE floor. When `transparent` is true, the API is
+    asked for a transparent PNG background.
     """
-    size = max(GEN_SIZE, int(size))
+    size = max(1, int(size))
+    if model == DEFAULT_IMAGE_MODEL:
+        size = max(GEN_SIZE, size)
     body = {
         "model": model,
         "prompt": prompt,
-        "size": f"{size}x{size}",
         "output_format": "png",
         "n": 1,
     }
+    if aspect_ratio == "1:1":
+        body["size"] = f"{size}x{size}"
+    else:
+        body["aspect_ratio"] = aspect_ratio
+        body["resolution"] = next(
+            (tier for limit, tier in ((512, "512"), (768, "768"), (1024, "1K"),
+                                      (1536, "1.5K"), (2048, "2K"), (4096, "4K"))
+             if size <= limit), "4K")
     if transparent:
         body["background"] = "transparent"
     req = urllib.request.Request(

tools/test_asset_pipeline.py

@@ -3,7 +3,7 @@ import unittest
 from pathlib import Path
 from unittest.mock import patch
 
-from PIL import Image
+from PIL import Image, ImageDraw
 
 import asset_pipeline
 
@@ -51,6 +51,38 @@ class AssetPipelineTests(unittest.TestCase):
         self.assertEqual(asset_pipeline.audit_image(
             bad, "tile")["quality"], "bad")
 
+    def test_seamless_transform_makes_tile_edges_continuous(self):
+        image_path = self.root / "tile.png"
+        output = self.root / "seamless.png"
+        image = Image.new("RGB", (512, 512))
+        for x in range(512):
+            for y in range(512):
+                image.putpixel((x, y), (x // 2, y // 2, (x + y) // 4))
+        image.save(image_path)
+
+        asset_pipeline.seamless_image(image_path, output)
+
+        self.assertEqual(asset_pipeline.audit_image(
+            output, "tile")["quality"], "good")
+
+    def test_tile_generation_applies_seamless_transform(self):
+        output = self.root / "generated_tile.png"
+        args = type("Args", (), {
+            "prompt": "brick", "role": "tile", "output": str(output),
+            "width": None, "height": None, "transparent": False,
+            "model": "test-model", "request_size": 1024,
+        })()
+        generated = Image.new("RGB", (512, 512), (80, 80, 80))
+        for y in range(512):
+            generated.putpixel((0, y), (255, 0, 0))
+
+        with patch.object(asset_pipeline.generate_textures, "generate_image",
+                          return_value=generated):
+            asset_pipeline._generate(args)
+
+        self.assertEqual(asset_pipeline.audit_image(
+            output, "tile")["quality"], "good")
+
     def test_background_audit_rejects_small_image(self):
         image_path = self.root / "small.png"
         Image.new("RGB", (640, 360)).save(image_path)
@@ -63,11 +95,27 @@ class AssetPipelineTests(unittest.TestCase):
 
     def test_grayscale_vignette_is_valid_without_alpha(self):
         image_path = self.root / "vignette.png"
-        Image.new("L", (512, 512), 0).save(image_path)
+        image = Image.new("L", (512, 512), 0)
+        draw = ImageDraw.Draw(image)
+        for radius in range(255, -1, -1):
+            value = int(255 * (1 - radius / 255))
+            draw.ellipse((256 - radius, 256 - radius,
+                          256 + radius, 256 + radius), fill=value)
+        image.save(image_path)
 
         self.assertEqual(asset_pipeline.audit_image(
             image_path, "overlay")["quality"], "good")
 
+    def test_overlay_audit_rejects_blank_transparent_image(self):
+        image_path = self.root / "blank_overlay.png"
+        Image.new("RGBA", (512, 512), (0, 0, 0, 0)).save(image_path)
+
+        result = asset_pipeline.audit_image(image_path, "overlay")
+
+        self.assertEqual(result["quality"], "bad")
+        self.assertTrue(any("near-blank frame" in error
+                            for error in result["errors"]))
+
     def test_icon_audit_rejects_opaque_rgba_images(self):
         image_path = self.root / "opaque_icon.png"
         Image.new("RGBA", (64, 64), (255, 255, 255, 255)).save(image_path)
@@ -78,6 +126,16 @@ class AssetPipelineTests(unittest.TestCase):
         self.assertTrue(any("transparency required" in error
                             for error in result["errors"]))
 
+    def test_backdrop_audit_requires_transparency(self):
+        image_path = self.root / "skyline.png"
+        Image.new("RGB", (1024, 256), (20, 30, 40)).save(image_path)
+
+        result = asset_pipeline.audit_image(image_path, "backdrop")
+
+        self.assertEqual(result["quality"], "bad")
+        self.assertTrue(any("transparency required" in error
+                            for error in result["errors"]))
+
     def test_generation_reuses_existing_backend_and_targets_role_dimensions(self):
         output = self.root / "background.png"
         args = type("Args", (), {
@@ -93,9 +151,43 @@ class AssetPipelineTests(unittest.TestCase):
 
         self.assertIn("Hollywood at night", backend.call_args.args[0])
         self.assertIn("wide 16:9", backend.call_args.args[0])
+        self.assertEqual(backend.call_args.kwargs["aspect_ratio"], "3:2")
         with Image.open(output) as image:
             self.assertEqual(image.size, (1920, 1080))
 
+    def test_generation_can_recolor_transparent_glyph(self):
+        output = self.root / "icon.png"
+        args = type("Args", (), {
+            "prompt": "flashlight", "role": "icon", "output": str(output),
+            "width": None, "height": None, "transparent": True,
+            "model": "test-model", "request_size": 1024,
+            "foreground": (255, 255, 255, 255),
+        })()
+        generated = Image.new("RGBA", (64, 64), (0, 0, 0, 0))
+        generated.putpixel((32, 32), (20, 20, 20, 255))
+
+        with patch.object(asset_pipeline.generate_textures, "generate_image",
+                          return_value=generated):
+            asset_pipeline._generate(args)
+
+        with Image.open(output) as image:
+            self.assertEqual(image.getpixel((32, 32)), (255, 255, 255, 255))
+            self.assertEqual(image.getpixel((0, 0))[3], 0)
+
+    def test_screenshot_audit_accepts_game_frame_and_rejects_blank_capture(self):
+        valid = self.root / "frame.png"
+        blank = self.root / "blank.png"
+        frame = Image.new("RGB", (1280, 720), (0, 0, 0))
+        ImageDraw.Draw(frame).rectangle(
+            (640, 0, 1279, 719), fill=(255, 255, 255))
+        frame.save(valid)
+        Image.new("RGB", (1280, 720), (0, 0, 0)).save(blank)
+
+        self.assertEqual(asset_pipeline.audit_image(
+            valid, "screenshot")["quality"], "good")
+        self.assertEqual(asset_pipeline.audit_image(
+            blank, "screenshot")["quality"], "bad")
+
     def test_role_inference_uses_game_asset_paths(self):
         self.assertEqual(asset_pipeline.infer_role(
             Path("assets/textures/icons/wand.png")), "icon")
@@ -104,6 +196,12 @@ class AssetPipelineTests(unittest.TestCase):
         self.assertEqual(asset_pipeline.infer_role(
             Path("assets/textures/skyline.png")), "backdrop")
 
+    def test_role_generator_defaults_to_validated_image_model(self):
+        args = asset_pipeline.build_parser().parse_args([
+            "generate", "--prompt", "test", "--role", "tile", "--output", "tile.png"])
+
+        self.assertEqual(args.model, asset_pipeline.DEFAULT_ROLE_IMAGE_MODEL)
+
 
 if __name__ == "__main__":
     unittest.main()