Update app.py

app.py

@@ -15,21 +15,22 @@ from safetensors.torch import load_file
 
 model_id = 'alfredplpl/emix-0-4-turbo'
 auth_token=os.environ["ACCESS_TOKEN"]
-adapter_id = "latent-consistency/lcm-lora-sdxl"
-adapter_id_2 = "manual.safetensors"
-#scheduler=DPMSolverMultistepScheduler()
-
-#pipe = StableDiffusionXLPipeline.from_pretrained(
-#  model_id,
-#  torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
-#  use_auth_token=auth_token)
-
-pipe = AutoPipelineForText2Image.from_pretrained(
-    model_id, 
-    torch_dtype=torch.float16,
-    use_auth_token=auth_token
-)
-pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
+#adapter_id = "latent-consistency/lcm-lora-sdxl"
+#adapter_id_2 = "manual.safetensors"
+
+scheduler=EulerAncestralDiscreteScheduler(model_id, subfolder="scheduler",use_auth_token=auth_token)
+
+pipe = StableDiffusionXLPipeline.from_pretrained(
+  model_id,
+  torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
+  use_auth_token=auth_token)
+
+#pipe = AutoPipelineForText2Image.from_pretrained(
+#    model_id, 
+#    torch_dtype=torch.float16,
+#    use_auth_token=auth_token
+#)
+#pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
 
 pipe=pipe.to("cuda")
 #pipe.load_lora_weights(adapter_id)