Update app.py

app.py

@@ -23,7 +23,8 @@ pipe.load_lora_weights(hf_hub_download("ByteDance/Hyper-SD", "Hyper-FLUX.1-dev-8
 pipe.fuse_lora(lora_scale=0.125)
 pipe.to(DEVICE)
 
-examples = [[Image.open("cat.jpg"), "a tiger", 0, 0.7, 0.5, 0.9, 8, 8, 789385745, False]]
+examples = [[Image.open("cat.jpg"), "a tiger", 0, 4, 0.5, 0.9, False, 1, 8, 8, 789385745, False],
+           [Image.open("metal.png"), "a dragon, 3d melting gold metal", 0, 4, 0.5, 0.9, True, 2, 8, 8, 789385745, False]]
 def reset_do_inversion():
         return True
     
@@ -34,8 +35,8 @@ def resize_img(image, max_size=1024):
     new_height = int(height * scaling_factor)
     return image.resize((new_width, new_height), Image.LANCZOS)
 
-def check_style(stylezation, eta, eta_decay, decay_power, start_timestep, stop_timestep):
-    return eta, eta_decay, decay_power, start_timestep, stop_timestep
+def check_style(stylezation):
+    return eta, True, 2
 
 @spaces.GPU(duration=85)
 def invert_and_edit(image, 
@@ -239,7 +240,7 @@ based on the implementations of [@raven38](https://github.com/raven38) & [@DarkM
 
     gr.Examples(
                 examples=examples,
-                inputs=[input_image, prompt,start_timestep, stop_timestep, gamma, eta, num_inversion_steps, num_inference_steps, seed, randomize_seed ],
+                inputs=[input_image, prompt,start_timestep, stop_timestep, gamma, eta, eta_decay, decay_power, num_inversion_steps, num_inference_steps, seed, randomize_seed ],
                 outputs=[result, inverted_latents, image_latents, latent_image_ids, do_inversion, seed],
                 fn=invert_and_edit,
             )
@@ -256,8 +257,8 @@ based on the implementations of [@raven38](https://github.com/raven38) & [@DarkM
 
     stylezation.change(
         fn=check_style,
-        inputs=[stylezation, eta, eta_decay, decay_power, start_timestep, stop_timestep],
-        outputs=[eta, eta_decay, decay_power, start_timestep, stop_timestep]
+        inputs=[stylezation],
+        outputs=[eta_decay, decay_power]
     )