Update app.py

app.py

@@ -1,6 +1,6 @@
 import gradio as gr
 import torch, random, time
-from diffusers import StableDiffusionPipeline, StableDiffusionImg2ImgPipeline, EulerDiscreteScheduler
+from diffusers import StableDiffusionPipeline, StableDiffusionImg2ImgPipeline
 device = "cuda" if torch.cuda.is_available() else "cpu"
 translations = {
 	'en': {
@@ -74,7 +74,6 @@ def Loading(model):
 	else:
 		text2img = StableDiffusionPipeline.from_pretrained(model, use_safetensors=True).to(device)
 	text2img.safety_checker = None
-	text2img.scheduler = EulerDiscreteScheduler.from_config(text2img.scheduler.config)
 	img2img = StableDiffusionImg2ImgPipeline(**text2img.components)
 	return model
 with gr.Blocks() as demo: