AI/diffusers
1
0
Fork 0
mirror of https://github.com/huggingface/diffusers.git synced 2026-01-29 07:22:12 +03:00
Code Activity

load_lora_weights()

Browse Source
This commit is contained in:
sayakpaul
2025-09-26 08:56:05 +05:30
parent 024932dd19
commit 1222b966d7
1 changed files with 28 additions and 293 deletions
Download Patch File Download Diff File Expand all files Collapse all files

321
src/diffusers/loaders/lora_pipeline.py
View File

@@ -621,33 +621,7 @@ class StableDiffusionXLLoraLoaderMixin(LoraBaseMixin):
**kwargs,
):
"""
Load LoRA weights specified in `pretrained_model_name_or_path_or_dict` into `self.unet` and
`self.text_encoder`.
All kwargs are forwarded to `self.lora_state_dict`.
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`] for more details on how the state dict is
loaded.
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_into_unet`] for more details on how the state dict is
loaded into `self.unet`.
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_into_text_encoder`] for more details on how the state
dict is loaded into `self.text_encoder`.
Parameters:
pretrained_model_name_or_path_or_dict (`str` or `os.PathLike` or `dict`):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
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.
low_cpu_mem_usage (`bool`, *optional*):
Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
weights.
hotswap (`bool`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`].
kwargs (`dict`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`] for more details.
"""
if not USE_PEFT_BACKEND:
raise ValueError("PEFT backend is required for this method.")
@@ -967,7 +941,7 @@ class StableDiffusionXLLoraLoaderMixin(LoraBaseMixin):
text_encoder_2_lora_adapter_metadata=None,
):
r"""
See [`~loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
See [`~loaders.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
"""
lora_layers = {}
lora_metadata = {}
@@ -1186,30 +1160,7 @@ class SD3LoraLoaderMixin(LoraBaseMixin):
**kwargs,
):
"""
Load LoRA weights specified in `pretrained_model_name_or_path_or_dict` into `self.unet` and
`self.text_encoder`.
All kwargs are forwarded to `self.lora_state_dict`.
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`] for more details on how the state dict is
loaded.
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_into_transformer`] for more details on how the state
dict is loaded into `self.transformer`.
Parameters:
pretrained_model_name_or_path_or_dict (`str` or `os.PathLike` or `dict`):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
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.
low_cpu_mem_usage (`bool`, *optional*):
Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
weights.
hotswap (`bool`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`].
kwargs (`dict`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`] for more details.
"""
if not USE_PEFT_BACKEND:
raise ValueError("PEFT backend is required for this method.")
@@ -1392,7 +1343,7 @@ class SD3LoraLoaderMixin(LoraBaseMixin):
text_encoder_2_lora_adapter_metadata=None,
):
r"""
See [`~loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
See [`~loaders.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
"""
lora_layers = {}
lora_metadata = {}
@@ -1610,25 +1561,7 @@ class AuraFlowLoraLoaderMixin(LoraBaseMixin):
**kwargs,
):
"""
Load LoRA weights specified in `pretrained_model_name_or_path_or_dict` into `self.transformer` and
`self.text_encoder`. All kwargs are forwarded to `self.lora_state_dict`. See
[`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`] for more details on how the state dict is loaded.
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_into_transformer`] for more details on how the state
dict is loaded into `self.transformer`.
Parameters:
pretrained_model_name_or_path_or_dict (`str` or `os.PathLike` or `dict`):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
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.
low_cpu_mem_usage (`bool`, *optional*):
Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
weights.
hotswap (`bool`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`].
kwargs (`dict`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`] for more details.
"""
if not USE_PEFT_BACKEND:
raise ValueError("PEFT backend is required for this method.")
@@ -1725,7 +1658,7 @@ class AuraFlowLoraLoaderMixin(LoraBaseMixin):
transformer_lora_adapter_metadata: Optional[dict] = None,
):
r"""
See [`~loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
See [`~loaders.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
"""
lora_layers = {}
lora_metadata = {}
@@ -3003,25 +2936,7 @@ class CogVideoXLoraLoaderMixin(LoraBaseMixin):
**kwargs,
):
"""
Load LoRA weights specified in `pretrained_model_name_or_path_or_dict` into `self.transformer` and
`self.text_encoder`. All kwargs are forwarded to `self.lora_state_dict`. See
[`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`] for more details on how the state dict is loaded.
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_into_transformer`] for more details on how the state
dict is loaded into `self.transformer`.
Parameters:
pretrained_model_name_or_path_or_dict (`str` or `os.PathLike` or `dict`):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
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.
low_cpu_mem_usage (`bool`, *optional*):
Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
weights.
hotswap (`bool`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`].
kwargs (`dict`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`] for more details.
"""
if not USE_PEFT_BACKEND:
raise ValueError("PEFT backend is required for this method.")
@@ -3117,7 +3032,7 @@ class CogVideoXLoraLoaderMixin(LoraBaseMixin):
transformer_lora_adapter_metadata: Optional[dict] = None,
):
r"""
See [`~loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
See [`~loaders.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
"""
lora_layers = {}
lora_metadata = {}
@@ -3320,25 +3235,7 @@ class Mochi1LoraLoaderMixin(LoraBaseMixin):
**kwargs,
):
"""
Load LoRA weights specified in `pretrained_model_name_or_path_or_dict` into `self.transformer` and
`self.text_encoder`. All kwargs are forwarded to `self.lora_state_dict`. See
[`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`] for more details on how the state dict is loaded.
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_into_transformer`] for more details on how the state
dict is loaded into `self.transformer`.
Parameters:
pretrained_model_name_or_path_or_dict (`str` or `os.PathLike` or `dict`):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
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.
low_cpu_mem_usage (`bool`, *optional*):
Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
weights.
hotswap (`bool`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`].
kwargs (`dict`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`] for more details.
"""
if not USE_PEFT_BACKEND:
raise ValueError("PEFT backend is required for this method.")
@@ -3435,7 +3332,7 @@ class Mochi1LoraLoaderMixin(LoraBaseMixin):
transformer_lora_adapter_metadata: Optional[dict] = None,
):
r"""
See [`~loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
See [`~loaders.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
"""
lora_layers = {}
lora_metadata = {}
@@ -3642,25 +3539,7 @@ class LTXVideoLoraLoaderMixin(LoraBaseMixin):
**kwargs,
):
"""
Load LoRA weights specified in `pretrained_model_name_or_path_or_dict` into `self.transformer` and
`self.text_encoder`. All kwargs are forwarded to `self.lora_state_dict`. See
[`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`] for more details on how the state dict is loaded.
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_into_transformer`] for more details on how the state
dict is loaded into `self.transformer`.
Parameters:
pretrained_model_name_or_path_or_dict (`str` or `os.PathLike` or `dict`):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
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.
low_cpu_mem_usage (`bool`, *optional*):
Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
weights.
hotswap (`bool`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`].
kwargs (`dict`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`] for more details.
"""
if not USE_PEFT_BACKEND:
raise ValueError("PEFT backend is required for this method.")
@@ -3757,7 +3636,7 @@ class LTXVideoLoraLoaderMixin(LoraBaseMixin):
transformer_lora_adapter_metadata: Optional[dict] = None,
):
r"""
See [`~loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
See [`~loaders.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
"""
lora_layers = {}
lora_metadata = {}
@@ -3962,25 +3841,7 @@ class SanaLoraLoaderMixin(LoraBaseMixin):
**kwargs,
):
"""
Load LoRA weights specified in `pretrained_model_name_or_path_or_dict` into `self.transformer` and
`self.text_encoder`. All kwargs are forwarded to `self.lora_state_dict`. See
[`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`] for more details on how the state dict is loaded.
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_into_transformer`] for more details on how the state
dict is loaded into `self.transformer`.
Parameters:
pretrained_model_name_or_path_or_dict (`str` or `os.PathLike` or `dict`):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
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.
low_cpu_mem_usage (`bool`, *optional*):
Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
weights.
hotswap (`bool`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`].
kwargs (`dict`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`] for more details.
"""
if not USE_PEFT_BACKEND:
raise ValueError("PEFT backend is required for this method.")
@@ -4077,7 +3938,7 @@ class SanaLoraLoaderMixin(LoraBaseMixin):
transformer_lora_adapter_metadata: Optional[dict] = None,
):
r"""
See [`~loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
See [`~loaders.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
"""
lora_layers = {}
lora_metadata = {}
@@ -4284,25 +4145,7 @@ class HunyuanVideoLoraLoaderMixin(LoraBaseMixin):
**kwargs,
):
"""
Load LoRA weights specified in `pretrained_model_name_or_path_or_dict` into `self.transformer` and
`self.text_encoder`. All kwargs are forwarded to `self.lora_state_dict`. See
[`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`] for more details on how the state dict is loaded.
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_into_transformer`] for more details on how the state
dict is loaded into `self.transformer`.
Parameters:
pretrained_model_name_or_path_or_dict (`str` or `os.PathLike` or `dict`):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
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.
low_cpu_mem_usage (`bool`, *optional*):
Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
weights.
hotswap (`bool`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`].
kwargs (`dict`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`] for more details.
"""
if not USE_PEFT_BACKEND:
raise ValueError("PEFT backend is required for this method.")
@@ -4399,7 +4242,7 @@ class HunyuanVideoLoraLoaderMixin(LoraBaseMixin):
transformer_lora_adapter_metadata: Optional[dict] = None,
):
r"""
See [`~loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
See [`~loaders.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
"""
lora_layers = {}
lora_metadata = {}
@@ -4607,25 +4450,7 @@ class Lumina2LoraLoaderMixin(LoraBaseMixin):
**kwargs,
):
"""
Load LoRA weights specified in `pretrained_model_name_or_path_or_dict` into `self.transformer` and
`self.text_encoder`. All kwargs are forwarded to `self.lora_state_dict`. See
[`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`] for more details on how the state dict is loaded.
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_into_transformer`] for more details on how the state
dict is loaded into `self.transformer`.
Parameters:
pretrained_model_name_or_path_or_dict (`str` or `os.PathLike` or `dict`):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
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.
low_cpu_mem_usage (`bool`, *optional*):
Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
weights.
hotswap (`bool`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`].
kwargs (`dict`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`] for more details.
"""
if not USE_PEFT_BACKEND:
raise ValueError("PEFT backend is required for this method.")
@@ -4722,7 +4547,7 @@ class Lumina2LoraLoaderMixin(LoraBaseMixin):
transformer_lora_adapter_metadata: Optional[dict] = None,
):
r"""
See [`~loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
See [`~loaders.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
"""
lora_layers = {}
lora_metadata = {}
@@ -4976,25 +4801,7 @@ class WanLoraLoaderMixin(LoraBaseMixin):
**kwargs,
):
"""
Load LoRA weights specified in `pretrained_model_name_or_path_or_dict` into `self.transformer` and
`self.text_encoder`. All kwargs are forwarded to `self.lora_state_dict`. See
[`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`] for more details on how the state dict is loaded.
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_into_transformer`] for more details on how the state
dict is loaded into `self.transformer`.
Parameters:
pretrained_model_name_or_path_or_dict (`str` or `os.PathLike` or `dict`):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
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.
low_cpu_mem_usage (`bool`, *optional*):
Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
weights.
hotswap (`bool`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`].
kwargs (`dict`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`] for more details.
"""
if not USE_PEFT_BACKEND:
raise ValueError("PEFT backend is required for this method.")
@@ -5115,7 +4922,7 @@ class WanLoraLoaderMixin(LoraBaseMixin):
transformer_lora_adapter_metadata: Optional[dict] = None,
):
r"""
See [`~loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
See [`~loaders.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
"""
lora_layers = {}
lora_metadata = {}
@@ -5372,25 +5179,7 @@ class SkyReelsV2LoraLoaderMixin(LoraBaseMixin):
**kwargs,
):
"""
Load LoRA weights specified in `pretrained_model_name_or_path_or_dict` into `self.transformer` and
`self.text_encoder`. All kwargs are forwarded to `self.lora_state_dict`. See
[`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`] for more details on how the state dict is loaded.
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_into_transformer`] for more details on how the state
dict is loaded into `self.transformer`.
Parameters:
pretrained_model_name_or_path_or_dict (`str` or `os.PathLike` or `dict`):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
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.
low_cpu_mem_usage (`bool`, *optional*):
Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
weights.
hotswap (`bool`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`].
kwargs (`dict`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`] for more details.
"""
if not USE_PEFT_BACKEND:
raise ValueError("PEFT backend is required for this method.")
@@ -5511,7 +5300,7 @@ class SkyReelsV2LoraLoaderMixin(LoraBaseMixin):
transformer_lora_adapter_metadata: Optional[dict] = None,
):
r"""
See [`~loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
See [`~loaders.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
"""
lora_layers = {}
lora_metadata = {}
@@ -5716,25 +5505,7 @@ class CogView4LoraLoaderMixin(LoraBaseMixin):
**kwargs,
):
"""
Load LoRA weights specified in `pretrained_model_name_or_path_or_dict` into `self.transformer` and
`self.text_encoder`. All kwargs are forwarded to `self.lora_state_dict`. See
[`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`] for more details on how the state dict is loaded.
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_into_transformer`] for more details on how the state
dict is loaded into `self.transformer`.
Parameters:
pretrained_model_name_or_path_or_dict (`str` or `os.PathLike` or `dict`):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
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.
low_cpu_mem_usage (`bool`, *optional*):
Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
weights.
hotswap (`bool`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`].
kwargs (`dict`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`] for more details.
"""
if not USE_PEFT_BACKEND:
raise ValueError("PEFT backend is required for this method.")
@@ -5831,7 +5602,7 @@ class CogView4LoraLoaderMixin(LoraBaseMixin):
transformer_lora_adapter_metadata: Optional[dict] = None,
):
r"""
See [`~loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
See [`~loaders.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
"""
lora_layers = {}
lora_metadata = {}
@@ -6038,25 +5809,7 @@ class HiDreamImageLoraLoaderMixin(LoraBaseMixin):
**kwargs,
):
"""
Load LoRA weights specified in `pretrained_model_name_or_path_or_dict` into `self.transformer` and
`self.text_encoder`. All kwargs are forwarded to `self.lora_state_dict`. See
[`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`] for more details on how the state dict is loaded.
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_into_transformer`] for more details on how the state
dict is loaded into `self.transformer`.
Parameters:
pretrained_model_name_or_path_or_dict (`str` or `os.PathLike` or `dict`):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
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.
low_cpu_mem_usage (`bool`, *optional*):
Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
weights.
hotswap (`bool`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`].
kwargs (`dict`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`] for more details.
"""
if not USE_PEFT_BACKEND:
raise ValueError("PEFT backend is required for this method.")
@@ -6153,7 +5906,7 @@ class HiDreamImageLoraLoaderMixin(LoraBaseMixin):
transformer_lora_adapter_metadata: Optional[dict] = None,
):
r"""
See [`~loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
See [`~loaders.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
"""
lora_layers = {}
lora_metadata = {}
@@ -6363,25 +6116,7 @@ class QwenImageLoraLoaderMixin(LoraBaseMixin):
**kwargs,
):
"""
Load LoRA weights specified in `pretrained_model_name_or_path_or_dict` into `self.transformer` and
`self.text_encoder`. All kwargs are forwarded to `self.lora_state_dict`. See
[`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`] for more details on how the state dict is loaded.
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_into_transformer`] for more details on how the state
dict is loaded into `self.transformer`.
Parameters:
pretrained_model_name_or_path_or_dict (`str` or `os.PathLike` or `dict`):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
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.
low_cpu_mem_usage (`bool`, *optional*):
Speed up model loading by only loading the pretrained LoRA weights and not initializing the random
weights.
hotswap (`bool`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`].
kwargs (`dict`, *optional*):
See [`~loaders.StableDiffusionLoraLoaderMixin.lora_state_dict`].
See [`~loaders.StableDiffusionLoraLoaderMixin.load_lora_weights`] for more details.
"""
if not USE_PEFT_BACKEND:
raise ValueError("PEFT backend is required for this method.")
@@ -6478,7 +6213,7 @@ class QwenImageLoraLoaderMixin(LoraBaseMixin):
transformer_lora_adapter_metadata: Optional[dict] = None,
):
r"""
See [`~loaders.lora_pipeline.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
See [`~loaders.StableDiffusionLoraLoaderMixin.save_lora_weights`] for more information.
"""
lora_layers = {}
lora_metadata = {}