feat: add image metadata loader with native LoRA Manager integration

Add Load Image Metadata (LoraManager) to extract reusable prompts,
model references, LoRA stacks, and sampling settings from images.

Prefer saved A1111-style parameters by default, with optional workflow
and subgraph sampler selection. Resolve local model and LoRA names,
report missing resources, and recover extraction failures with explicit
defaults and readable diagnostics.

Include parser, resource-resolution, and node regression tests, plus
usage documentation.

py/utils/utils.py

@@ -114,6 +114,16 @@ def get_lora_info_absolute(lora_name):
         scanner = await ServiceRegistry.get_lora_scanner()
         cache = await scanner.get_cached_data()
 
+        # Stack producers can resolve an exact business path. Preserve it even
+        # when several indexed LoRAs share the same basename.
+        if os.path.isabs(lora_name):
+            for item in cache.raw_data:
+                file_path = item.get("file_path")
+                if file_path and os.path.abspath(file_path) == os.path.abspath(lora_name):
+                    civitai = item.get("civitai") or {}
+                    return file_path, civitai.get("trainedWords", [])
+            return lora_name, []
+
         lora_name_normalized = lora_name.replace("\\", "/")
         lora_name_no_ext = lora_name_normalized
         for ext in (".safetensors", ".ckpt", ".pt", ".bin"):