Update app.py

app.py

@@ -28,8 +28,8 @@ pipe_prior_redux = FluxPriorReduxPipeline.from_pretrained(
     torch_dtype=torch.bfloat16
 ).to("cuda")
 
-examples = [[Image.open("mona_lisa.jpg"), "pink hair, at the beach", None, "", 0.035, 1., 1., 1., 1., 0], 
-            [Image.open("1665_Girl_with_a_Pearl_Earring.jpg"), "", Image.open("dali_example.jpg"), "", 0.08, .4, .6, .33, 1., 1912857110]]
+examples = [[Image.open("mona_lisa.jpg"), "pink hair, at the beach", None, "", 0.035, 1., 1., 1., 1., 0, False], 
+            [Image.open("1665_Girl_with_a_Pearl_Earring.jpg"), "", Image.open("dali_example.jpg"), "", 0.08, .4, .6, .33, 1., 1912857110, False]]
 
 @spaces.GPU
 def infer(control_image, prompt,  image_2, prompt_2, reference_scale= 0.03 , 
@@ -198,7 +198,7 @@ Now with added support:
 
         gr.Examples(
                 examples=examples,
-                inputs=[input_image, prompt, image_2, prompt_2, reference_scale, prompt_embeds_scale_1, prompt_embeds_scale_2, pooled_prompt_embeds_scale_1, pooled_prompt_embeds_scale_2, seed],
+                inputs=[input_image, prompt, image_2, prompt_2, reference_scale, prompt_embeds_scale_1, prompt_embeds_scale_2, pooled_prompt_embeds_scale_1, pooled_prompt_embeds_scale_2, seed, randomize_seed],
                 outputs=[result, seed],
                 fn=infer,
             )