anal

app.py

@@ -27,7 +27,7 @@ st.info('1')
 pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token='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', torch_dtype=torch.float32)
 def dummy(images, **kwargs): return images, False 
 pipe.safety_checker = dummy
-st.info(2)
+st.info('2')
 #___________________________________________________________________________________________________________________________
 
 def infer(prompt, width, height, steps, scale, seed):      
@@ -48,15 +48,15 @@ def infer(prompt, width, height, steps, scale, seed):
             guidance_scale=scale)
 
     return images_list["sample"]
-    st.info(5)
-st.info(3)
+    st.info('5')
+st.info('3')
 #___________________________________________________________________________________________________________________________
 
 def onclick(prompt):
     st.image(infer(prompt,512,512,30,7.5,-1))
 if prompt==True:
     onclick(prompt)
-    st.info(4)
+    st.info('4')
 
 #___________________________________________________________________________________________________________________________