From 2172f7c3f080334029e4a0a9d248c1999166050f Mon Sep 17 00:00:00 2001 From: Hameer Abbasi Date: Sat, 5 Aug 2023 18:35:18 +0000 Subject: [PATCH] Linting fix. --- modules/lora_diffusers.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/modules/lora_diffusers.py b/modules/lora_diffusers.py index c5e2ea980..3df991c77 100644 --- a/modules/lora_diffusers.py +++ b/modules/lora_diffusers.py @@ -32,7 +32,7 @@ def unload_diffusers_lora(): lora_state['loaded'] = 0 lora_state['all_loras'] = [] lora_state['multiplier'] = [] - + except Exception as e: shared.log.error(f"Diffusers LoRA unloading failed: {e}") @@ -355,7 +355,7 @@ class LoRANetwork(torch.nn.Module): super().__init__() self.multiplier = multiplier - shared.log.debug(f"create LoRA network from weights") + shared.log.debug("create LoRA network from weights") # convert SDXL Stability AI's U-Net modules to Diffusers converted = self.convert_unet_modules(modules_dim, modules_alpha) @@ -496,13 +496,13 @@ class LoRANetwork(torch.nn.Module): shared.log.debug("merge LoRA weights to original weights") for lora in tqdm(self.text_encoder_loras + self.unet_loras): lora.merge_to(multiplier) - shared.log.debug(f"weights are merged") + shared.log.debug("weights are merged") def restore_from(self, multiplier=1.0): shared.log.debug("restore LoRA weights from original weights") for lora in tqdm(self.text_encoder_loras + self.unet_loras): lora.restore_from(multiplier) - shared.log.debug(f"weights are restored") + shared.log.debug("weights are restored") def load_state_dict(self, state_dict: Mapping[str, Any], strict: bool = True): # convert SDXL Stability AI's state dict to Diffusers' based state dict