Update app.py

app.py

@@ -50,26 +50,17 @@ with mindseye:
     gr.Markdown("<h1>MindsEye Lite <small><small>run multiple text-to-image models in one place</small></small></h1><p>MindsEye Lite orchestrates multiple text-to-image Hugging Face Spaces in one convenient space, so you can try different models. This work carries the spirit of <a href='https://multimodal.art/mindseye' target='_blank'>MindsEye Beta</a>, a tool to run multiple models with a single UI, but adjusted to the current hardware limitations of Spaces. MindsEye Lite was created by <a style='color: rgb(99, 102, 241);font-weight:bold' href='https://twitter.com/multimodalart' target='_blank'>@multimodalart</a>, keep up with the <a style='color: rgb(99, 102, 241);' href='https://multimodal.art/news' target='_blank'>latest multimodal ai art news here</a> and consider <a style='color: rgb(99, 102, 241);' href='https://www.patreon.com/multimodalart' target='_blank'>supporting us on Patreon</a></div></p>")
     #gr.Markdown("<style>.mx-auto.container .gr-form-gap {flex-direction: row; gap: calc(1rem * calc(1 - var(--tw-space-y-reverse)));} .mx-auto.container .gr-form-gap .flex-col, .mx-auto.container .gr-form-gap .gr-box{width: 100%}</style>")
     text = gr.inputs.Textbox(placeholder="Try writing something..", label="Prompt", default="A mecha robot in a favela")
+    
     with gr.Column():
+         with gr.Row():
               with gr.Tabs():
-                   with gr.TabItem("Latent Diffusion"):
-                       pass
-    with gr.Column():
-              with gr.Tabs():
-                        with gr.TabItem("Image output"):
-                                pass
-              #                image = gr.outputs.Image()
-
-    #with gr.Column():
-    #with gr.Row():
-    #with gr.Tabs():
-    #            with gr.TabItem("Latent Diffusion"):
-    #                steps = gr.inputs.Slider(label="Steps - more steps can increase quality but will take longer to generate",default=45,maximum=50,minimum=1,step=1)
-    #                width = gr.inputs.Slider(label="Width", default=256, step=32, maximum=256, minimum=32)
-    #                height = gr.inputs.Slider(label="Height", default=256, step=32, maximum = 256, minimum=32)
-    #                images = gr.inputs.Slider(label="Images - How many images you wish to generate", default=2, step=1, minimum=1, maximum=4)
-    #                diversity = gr.inputs.Slider(label="Diversity scale - How different from one another you wish the images to be",default=5.0, minimum=1.0, maximum=15.0)
-    #                get_image_latent = gr.Button("Generate Image",css=css_mt)
+                with gr.TabItem("Latent Diffusion"):
+                    steps = gr.inputs.Slider(label="Steps - more steps can increase quality but will take longer to generate",default=45,maximum=50,minimum=1,step=1)
+                    width = gr.inputs.Slider(label="Width", default=256, step=32, maximum=256, minimum=32)
+                    height = gr.inputs.Slider(label="Height", default=256, step=32, maximum = 256, minimum=32)
+                    images = gr.inputs.Slider(label="Images - How many images you wish to generate", default=2, step=1, minimum=1, maximum=4)
+                    diversity = gr.inputs.Slider(label="Diversity scale - How different from one another you wish the images to be",default=5.0, minimum=1.0, maximum=15.0)
+                    get_image_latent = gr.Button("Generate Image",css=css_mt)
     #                
     #            with gr.TabItem("ruDALLE"):
     #                aspect = gr.inputs.Radio(label="Aspect Ratio", choices=["Square", "Horizontal", "Vertical"],default="Square")