Update app.py

app.py

@@ -126,27 +126,35 @@ def plex(prompt,neg_prompt,modil,stips,scaly,nut,wei,hei,los,loca,gaul,progress=
     try:
         pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.bfloat16, variant="fp16", use_safetensors=True, safety_checker=None))
     except:
+        pipe=None
         gc.collect()
+    if pipe==None:
         try:
             pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.float32, variant="fp32", use_safetensors=True, safety_checker=None))
         except:
             gc.collect()
-            try:
-                pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.bfloat16, variant="fp16", use_safetensors=False, safety_checker=None))
-            except:
-                gc.collect()
-                try:
-                    pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.float32, variant="fp32", use_safetensors=False, safety_checker=None))
-                except:
-                    gc.collect()
-                    try:
-                        pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.float, variant=None, use_safetensors=True, safety_checker=None))
-                    except:
-                        gc.collect()
-                        try:
-                            pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.float, variant=None, use_safetensors=False, safety_checker=None))
-                        except:
-                            print("no pipe")
+    elif pipe==None:
+        try:
+            pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.bfloat16, variant="fp16", use_safetensors=False, safety_checker=None))
+        except:
+            gc.collect()
+    elif pipe==None:
+        try:
+            pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.float32, variant="fp32", use_safetensors=False, safety_checker=None))
+        except:
+            gc.collect()
+    elif pipe==None:
+        try:
+            pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.float, variant=None, use_safetensors=True, safety_checker=None))
+        except:
+            gc.collect()
+    elif pipe==None:
+        try:
+            pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.float, variant=None, use_safetensors=False, safety_checker=None))
+        except:
+            print("no pipe")
+    else:
+        print("no pipes")
     if los:
         try:
             lrda=ModelCard.load(""+los+"")