Update app.py

app.py

@@ -133,17 +133,18 @@ def txt_to_img(model_path, prompt, neg_prompt, guidance, steps, width, height, n
               safety_checker=lambda images, clip_input: (images, False)
               )
         else:
+          eulera = EulerAncestralDiscreteScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", num_train_timesteps=1000)
           pipe = StableDiffusionPipeline.from_pretrained(
               current_model_path,
               torch_dtype=torch.float16,
-              scheduler=DPMSolverMultistepScheduler.from_pretrained(current_model.path, subfolder="scheduler")
+              scheduler=eulera
               )
           # pipe = pipe.to("cpu")
           # pipe = current_model.pipe_t2i
 
         if torch.cuda.is_available():
           pipe = pipe.to("cuda")
-          pipe.enable_xformers_memory_efficient_attention()
+          # pipe.enable_xformers_memory_efficient_attention()
         last_mode = "txt2img"
 
     prompt = current_model.prefix + prompt