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.

tests/nodes/test_lora_loader.py

@@ -200,3 +200,19 @@ def test_lora_loader_qwen_model_raises_clear_error_when_helper_import_fails(monk
             [],
             lora_stack=[("stack_qwen.safetensors", 0.6, 0.1)],
         )
+
+
+def test_stack_entry_keeps_resolved_absolute_path(monkeypatch):
+    from py.nodes.lora_loader import _collect_stack_entries
+
+    seen = []
+
+    def resolve(name):
+        seen.append(name)
+        return name, ["trigger"]
+
+    monkeypatch.setattr("py.nodes.lora_loader.get_lora_info_absolute", resolve)
+    result = _collect_stack_entries([("/models/b/same.safetensors", .7, .3)])
+    assert seen == ["/models/b/same.safetensors"]
+    assert result[0]["absolute_path"] == "/models/b/same.safetensors"
+    assert result[0]["clip_strength"] == .3