ability to get LoRA weights in SDLoraManager

src/refiners/foundationals/latent_diffusion/lora.py

@@ -92,6 +92,25 @@ class SDLoraManager:
         # set the scale of the LoRA
         self.set_scale(name, scale)
 
+    def _get_lora_weights(self, base: fl.Chain, name: str, accum: dict[str, Tensor]) -> None:
+        prev_parent: fl.Chain | None = None
+        n = 0
+        for lora_adapter, parent in base.walk(LoraAdapter):
+            lora = next((l for l in lora_adapter.lora_layers if l.name == name), None)
+            if lora is None:
+                continue
+            n = (parent == prev_parent) and n + 1 or 1
+            pfx = f"{parent.get_path()}.{n}.{lora_adapter.target.__class__.__name__}"
+            accum[f"{pfx}.down.weight"] = lora.down.weight
+            accum[f"{pfx}.up.weight"] = lora.up.weight
+            prev_parent = parent
+
+    def get_lora_weights(self, name: str) -> dict[str, Tensor]:
+        r: dict[str, Tensor] = {}
+        self._get_lora_weights(self.unet, name, r)
+        self._get_lora_weights(self.clip_text_encoder, name, r)
+        return r
+
     def add_loras_to_text_encoder(
         self,
         loras: dict[str, Lora[Any]],