Spaces:

JoPmt
/

Txt2Img_SD_LORA_MixMatch_Multi

Runtime error

App Files Files Community

JoPmt commited on Feb 2, 2024

Commit

545224f

verified ·

1 Parent(s): 9570016

Update app.py

Browse files

Files changed (1) hide show

app.py +6 -6

app.py CHANGED Viewed

@@ -126,27 +126,27 @@ 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=False))
     except:
         gc.collect()
         try:
-            pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.float32, variant="fp32", use_safetensors=True, safety_checker=False))
         except:
             gc.collect()
             try:
-                pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.bfloat16, variant="fp16", use_safetensors=False, safety_checker=False))
             except:
                 gc.collect()
                 try:
-                    pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.float32, variant="fp32", use_safetensors=False, safety_checker=False))
                 except:
                     gc.collect()
                     try:
-                        pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.float, variant=None, use_safetensors=True, safety_checker=False))
                     except:
                         gc.collect()
                         try:
-                            pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.float, variant=None, use_safetensors=False, safety_checker=False))
                         except:
                             print("no pipe")
     if los:

     except:
         print("no card")
     try:
+        pipe=accelerator.prepare(DiffusionPipeline.from_pretrained(""+modil+"",torch_dtype=torch.bfloat16, variant="fp16", use_safetensors=True, 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")
     if los: