todo: 3.

Author: sayakpaul

src/diffusers/loaders/lora_pipeline.py

@@ -441,7 +441,9 @@ def load_lora_into_text_encoder(
             adapter_name (`str`, *optional*):
                 Adapter name to be used for referencing the loaded adapter model. If not specified, it will use
                 `default_{i}` where i is the total number of adapters being loaded.
-            metadata: TODO
+            metadata (`dict`):
+                Optional LoRA adapter metadata. When supplied, the `LoraConfig` arguments of `peft` won't be derived
+                from the state dict.
             low_cpu_mem_usage (`bool`, *optional*):
                 Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
                 weights.
@@ -926,7 +928,9 @@ def load_lora_into_text_encoder(
             adapter_name (`str`, *optional*):
                 Adapter name to be used for referencing the loaded adapter model. If not specified, it will use
                 `default_{i}` where i is the total number of adapters being loaded.
-            metadata: TODO
+            metadata (`dict`):
+                Optional LoRA adapter metadata. When supplied, the `LoraConfig` arguments of `peft` won't be derived
+                from the state dict.
             low_cpu_mem_usage (`bool`, *optional*):
                 Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
                 weights.
@@ -1383,7 +1387,9 @@ def load_lora_into_text_encoder(
             adapter_name (`str`, *optional*):
                 Adapter name to be used for referencing the loaded adapter model. If not specified, it will use
                 `default_{i}` where i is the total number of adapters being loaded.
-            metadata: TODO
+            metadata (`dict`):
+                Optional LoRA adapter metadata. When supplied, the `LoraConfig` arguments of `peft` won't be derived
+                from the state dict.
             low_cpu_mem_usage (`bool`, *optional*):
                 Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
                 weights.
@@ -2320,7 +2326,9 @@ def load_lora_into_text_encoder(
             adapter_name (`str`, *optional*):
                 Adapter name to be used for referencing the loaded adapter model. If not specified, it will use
                 `default_{i}` where i is the total number of adapters being loaded.
-            metadata: TODO
+            metadata (`dict`):
+                Optional LoRA adapter metadata. When supplied, the `LoraConfig` arguments of `peft` won't be derived
+                from the state dict.
             low_cpu_mem_usage (`bool`, *optional*):
                 Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
                 weights.
@@ -2861,7 +2869,9 @@ def load_lora_into_text_encoder(
             adapter_name (`str`, *optional*):
                 Adapter name to be used for referencing the loaded adapter model. If not specified, it will use
                 `default_{i}` where i is the total number of adapters being loaded.
-            metadata: TODO
+            metadata (`dict`):
+                Optional LoRA adapter metadata. When supplied, the `LoraConfig` arguments of `peft` won't be derived
+                from the state dict.
             low_cpu_mem_usage (`bool`, *optional*):
                 Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
                 weights.