Update app.py

app.py

@@ -501,9 +501,8 @@ def infer(
 
                 generator = torch.Generator(device).manual_seed(seed)
 
-                pipe_LCM_default = get_lora_sd_pipeline(lora_dir='lora_man_animestyle', base_model_name_or_path=model_default, dtype=torch_dtype).to(device)
-                pipe_LCM = pipe_LCM_default
-                pipe_LCM.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
+                pipe_LCM = get_lora_sd_pipeline(lora_dir='lora_man_animestyle', base_model_name_or_path=model_default, dtype=torch_dtype).to(device)
+                pipe_LCM.scheduler = LCMScheduler.from_config(pipe_LCM.scheduler.config)
                 pipe_LCM.to(device)
 
                 pipe_LCM.load_lora_weights(adapter_id)
@@ -532,7 +531,7 @@ def infer(
                     generator = torch.Generator(device).manual_seed(seed)
 
                     pipe_DDIMS = StableDiffusionPipeline.from_pretrained(model_default, torch_dtype=torch_dtype).to(device)
-                    pipe_DDIMS.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
+                    pipe_DDIMS.scheduler = DPMSolverMultistepScheduler.from_config(pipe_DDIMS.scheduler.config)
 
                     prompt_embeds = long_prompt_encoder(prompt, pipe_DDIMS.tokenizer, pipe_DDIMS.text_encoder)
                     negative_prompt_embeds = long_prompt_encoder(negative_prompt, pipe_DDIMS.tokenizer, pipe_DDIMS.text_encoder)