Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 import numpy as np
 import random
 import spaces #[uncomment to use ZeroGPU]
-from diffusers import DiffusionPipeline ,DPMSolverMultistepScheduler ,EulerDiscreteScheduler
+from diffusers import DiffusionPipeline ,
 import torch
 from huggingface_hub import login
 import os 
@@ -18,11 +18,11 @@ else:
     torch_dtype = torch.float32
 
 pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
-pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config)
+
 pipe.load_lora_weights("artificiallover0/man_asshole")
 pipe.fuse_lora()
 pipe = pipe.to(device)
-
+print(pipe.scheduler.compatibles)
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024