Unique keys

app.py

@@ -86,7 +86,7 @@ with gr.Blocks() as mindseye:
                     width_vq = gr.inputs.Slider(label="Width", default=256, minimum=32, step=32, maximum=512)
                     height_vq= gr.inputs.Slider(label="Height", default=256, minimum=32, step=32, maximum=512)
                     style = gr.inputs.Dropdown(label="Style - Hyper Fast Results is fast but compromises a bit of the quality",choices=["Default","Balanced","Detailed","Consistent Creativity","Realistic","Smooth","Subtle MSE","Hyper Fast Results"],default="Hyper Fast Results")
-                    steps = gr.inputs.Slider(label="Steps - more steps can increase quality but will take longer to generate. All styles that are not Hyper Fast need at least 200 steps",default=50,maximum=300,minimum=1,step=1)
+                    steps_vq = gr.inputs.Slider(label="Steps - more steps can increase quality but will take longer to generate. All styles that are not Hyper Fast need at least 200 steps",default=50,maximum=300,minimum=1,step=1)
                     flavor = gr.inputs.Dropdown(label="Flavor - pick a flavor for the style of the images, based on the images below",choices=["ginger", "cumin", "holywater", "zynth", "wyvern", "aaron", "moth", "juu"])
                     get_image_vqgan = gr.Button("Generate Image",css=css_mt)
                 with gr.TabItem("Guided Diffusion"):
@@ -105,6 +105,6 @@ with gr.Blocks() as mindseye:
     
     get_image_latent.click(text2image_latent, inputs=[text,steps,width,height,images,diversity], outputs=gallery)
     get_image_rudalle.click(text2image_rudalle, inputs=[text,aspect,model], outputs=gallery)
-    get_image_vqgan.click(text2image_vqgan, inputs=[text,width_vq,height_vq,style,steps,flavor],outputs=gallery)
+    get_image_vqgan.click(text2image_vqgan, inputs=[text,width_vq,height_vq,style,steps_vq,flavor],outputs=gallery)
     get_image_diffusion.click(text2image_diffusion, inputs=[text, steps_diff, images_diff, weight, clip],outputs=gallery)
 mindseye.launch()