Update app.py

app.py

@@ -12,7 +12,7 @@ import spaces
 import torch
 from PIL import Image
 from io import BytesIO
-from diffusers import AutoencoderKL, DiffusionPipeline, AutoPipelineForImage2Image, DPMSolverMultistepScheduler, StableDiffusionKDiffusionPipeline
+from diffusers import AutoencoderKL, DiffusionPipeline, AutoPipelineForImage2Image, DPMSolverMultistepScheduler
 
 DESCRIPTION = "# Run any LoRA or SD Model"
 if not torch.cuda.is_available():
@@ -97,7 +97,6 @@ def generate(
         negative_prompt_2 = None  # type: ignore
 
     if not use_img2img:
-        pipe.set_scheduler('sample_dpmpp_2m')
         return pipe(
             prompt=prompt,
             negative_prompt=negative_prompt,
@@ -108,11 +107,9 @@ def generate(
             guidance_scale=guidance_scale_base,
             num_inference_steps=num_inference_steps_base,
             generator=generator,
-            use_karras_sigmas=True,
             output_type="pil",
         ).images[0]
     else:
-        pipe.set_scheduler('sample_dpmpp_2m')
         images = pipe(
             prompt=prompt,
             image=init_image,
@@ -125,7 +122,6 @@ def generate(
             guidance_scale=guidance_scale_base,
             num_inference_steps=num_inference_steps_base,
             generator=generator,
-            use_karras_sigmas=True,
             output_type="pil",
         ).images[0]
         return images