Update app.py

app.py

@@ -124,29 +124,11 @@ def plex(prompt,neg_prompt,modil,stips,scaly,nut,wei,hei,los,loca,gaul,progress=
     except:
         print("no card")
     try:
-        pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.bfloat16, variant="fp16", use_safetensors=True, safety_checker=None))
+        pipe = accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.bfloat16,variant="fp16",use_safetensors=True,safety_checker=None)) or accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.float32,variant="fp32",use_safetensors=True,safety_checker=None)) or 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=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")
+        pipe = accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.float32,variant="fp32",use_safetensors=False,safety_checker=None)) or accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.float,variant=None,use_safetensors=True,safety_checker=None)) or accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.float,variant=None,use_safetensors=False,safety_checker=None))
+
     if los:
         try:
             lrda=ModelCard.load(""+los+"")