diff --git a/generate_equirect.py b/generate_equirect.py
index 30b8b4f..dd98a7e 100644
--- a/generate_equirect.py
+++ b/generate_equirect.py
@@ -39,6 +39,8 @@ from huggingface_hub import hf_hub_download
 MODEL_PATH = "ProGamerGov/sdxl-360-diffusion"
 BASE_SDXL_MODEL = "stabilityai/stable-diffusion-xl-base-1.0"
 INPAINT_MODEL = "Lykon/dreamshaper-8-inpainting"
+LOCAL_SDXL_360_MODEL = os.path.join("models", "sdxl360Diffusion_v10.safetensors")
+SDXL_SINGLE_FILE_CONFIG = os.path.join(os.path.dirname(__file__), "configs", "sd_xl_base.yaml")
 TOPAZ_CLI = "/Applications/Topaz Photo AI.app/Contents/MacOS/Topaz Photo AI"
 REALESRGAN_MODEL = "RealESRGAN_x4plus.pth"
 REALESRGAN_SCALE = 4  # x4 model for full upscale
@@ -46,6 +48,51 @@ REALESRGAN_SCALE = 4  # x4 model for full upscale
 SDXL_VAE = "stabilityai/sdxl-vae"
 
 
+def downloads_allowed() -> bool:
+    return os.environ.get("SKYMAP_ALLOW_DOWNLOADS", "").strip().lower() in {"1", "true", "yes", "on"}
+
+
+def local_files_only() -> bool:
+    return not downloads_allowed()
+
+
+def resolve_existing_path(path: str, work_dir: str) -> str:
+    if os.path.isabs(path) and os.path.exists(path):
+        return path
+
+    candidates = [
+        os.path.abspath(path),
+        os.path.abspath(os.path.join(work_dir, path)),
+    ]
+    for candidate in candidates:
+        if os.path.exists(candidate):
+            return candidate
+
+    return path
+
+
+def resolve_generation_model_path(model_path: str, work_dir: str) -> str:
+    aliases = {
+        "proximasan/sdxl-360-diffusion": "ProGamerGov/sdxl-360-diffusion",
+        "proximasan": "ProGamerGov/sdxl-360-diffusion",
+    }
+    model_path = aliases.get(model_path, model_path)
+
+    local_model = resolve_existing_path(LOCAL_SDXL_360_MODEL, work_dir)
+    if (
+        model_path in {"", MODEL_PATH, "ProGamerGov/sdxl-360-diffusion"}
+        and os.path.isfile(local_model)
+    ):
+        print(f"→ Using local SDXL 360 checkpoint: {local_model}", flush=True)
+        return local_model
+
+    return resolve_existing_path(model_path, work_dir)
+
+
+def diffusers_load_kwargs() -> dict[str, bool]:
+    return {"local_files_only": local_files_only()}
+
+
 def sanitize_name(prompt: str) -> str:
     base = prompt.strip().lower()
     base = re.sub(r"\s+", "_", base)