Update app.py

app.py

@@ -126,7 +126,7 @@ def load_and_prepare_model(model_id):
 
     #pipe.to(dtype=torch.bfloat16)
     pipe.to(device)
-    pipe.unet = pipeX.unet.to(torch.bfloat16)
+    pipe.unet = pipeX.unet.to(device).to(torch.bfloat16)
 
     #pipe.to(torch.bfloat16)
     #pipe.to(device, torch.bfloat16)
@@ -213,8 +213,8 @@ def generate_30(
         f.write(f"Use Safetensors: True \n")
         f.write(f"Use Model Dtype: yes with UNET to bfloat \n")
         f.write(f"Model Scheduler: Euler_a custom \n")
-        f.write(f"Model VAE: stabilityai/sdxl-vae no dtype \n")
-        f.write(f"Model UNET: stabilityai no dtype \n")
+        f.write(f"Model VAE: stabilityai/sdxl-vae  \n")
+        f.write(f"Model UNET: stabilityai after cuda \n")
     upload_to_ftp(filename) 
     for i in range(0, num_images, BATCH_SIZE):
         batch_options = options.copy()
@@ -279,8 +279,8 @@ def generate_60(
         f.write(f"Use Safetensors: True \n")
         f.write(f"Use Model Dtype: yes with UNET to bfloat \n")
         f.write(f"Model Scheduler: Euler_a custom \n")
-        f.write(f"Model VAE: stabilityai/sdxl-vae no dtype \n")
-        f.write(f"Model UNET: stabilityai no dtype \n")
+        f.write(f"Model VAE: stabilityai/sdxl-vae  \n")
+        f.write(f"Model UNET: stabilityai after cuda \n")
     upload_to_ftp(filename) 
     for i in range(0, num_images, BATCH_SIZE):
         batch_options = options.copy()
@@ -345,8 +345,8 @@ def generate_90(
         f.write(f"Use Safetensors: True \n")
         f.write(f"Use Model Dtype: yes with UNET to bfloat \n")
         f.write(f"Model Scheduler: Euler_a custom \n")
-        f.write(f"Model VAE: stabilityai/sdxl-vae no dtype \n")
-        f.write(f"Model UNET: stabilityai no dtype \n")
+        f.write(f"Model VAE: stabilityai/sdxl-vae  \n")
+        f.write(f"Model UNET: stabilityai after cuda \n")
     upload_to_ftp(filename) 
     for i in range(0, num_images, BATCH_SIZE):
         batch_options = options.copy()