Update app.py

app.py

@@ -1,4 +1,4 @@
-from diffusers import StableDiffusionXLPipeline, UNet2DConditionModel, LCMScheduler
+from diffusers import StableDiffusionXLPipeline, UNet2DConditionModel, EulerDiscreteScheduler
 from huggingface_hub import hf_hub_download
 from safetensors.torch import load_file
 import spaces
@@ -37,8 +37,8 @@ def generate_image(prompt, ckpt):
     num_inference_steps = checkpoints[ckpt][1]
 
     if loaded != num_inference_steps:
-        unet.load_state_dict(torch.load(hf_hub_download(repo, checkpoint), map_location="cuda"))
-        pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
+        pipe.unet.load_state_dict(torch.load(hf_hub_download(repo, checkpoint), map_location="cuda"))
+        pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing", prediction_type="sample" if num_inference_steps==1 else "epsilon")
         loaded = num_inference_steps
         
     results = pipe(prompt, num_inference_steps=num_inference_steps, guidance_scale=0)