Update app.py

app.py

@@ -500,8 +500,11 @@ with gr.Blocks(css=css) as demo:
         with gr.Tab("XL Inference"):
             with gr.Row():
                 with gr.Column(scale=6):
-                    xl_model = gr.Dropdown(interactive=True, show_label=True,
+                    xl_model = gr.Dropdown(interactive=True, show_label=True, value="juggernautXL_v45.safetensors [e75f5471]",
                                         label="Stable Diffusion XL Checkpoint", choices=prodia_client.xl_list_models())
+                    gr.Markdown("""
+                    Generate with new XL-models            
+                    """)
 
             with gr.Tab("txt2img"):
                 with gr.Row():
@@ -525,8 +528,8 @@ with gr.Blocks(css=css) as demo:
 
                             with gr.Row():
                                 with gr.Column(scale=1):
-                                    xl_width = gr.Slider(label="Width", maximum=1024, value=512, step=8)
-                                    xl_height = gr.Slider(label="Height", maximum=1024, value=512, step=8)
+                                    xl_width = gr.Slider(label="Width", maximum=2048, value=1024, step=8)
+                                    xl_height = gr.Slider(label="Height", maximum=2048, value=1024, step=8)
 
                                 with gr.Column(scale=1):
                                     xl_batch_size = gr.Slider(label="Batch Size", maximum=1, value=1)
@@ -567,8 +570,8 @@ with gr.Blocks(css=css) as demo:
                                     xl_i2i_steps = gr.Slider(label="Sampling Steps", minimum=1, maximum=25, value=20, step=1)
                             with gr.Row():
                                 with gr.Column(scale=1):
-                                    xl_i2i_width = gr.Slider(label="Width", maximum=1024, value=512, step=8)
-                                    xl_i2i_height = gr.Slider(label="Height", maximum=1024, value=512, step=8)
+                                    xl_i2i_width = gr.Slider(label="Width", maximum=2048, value=1024, step=8)
+                                    xl_i2i_height = gr.Slider(label="Height", maximum=2048, value=1024, step=8)
 
                                 with gr.Column(scale=1):
                                     xl_i2i_batch_size = gr.Slider(label="Batch Size", maximum=1, value=1)
@@ -592,8 +595,8 @@ with gr.Blocks(css=css) as demo:
         xl_send_to_png_i2i.click(send_to_img2img_def, inputs=xl_i2i_past_url, outputs=image_input)
         with gr.Tab("HuggingFace Inference"):
             with gr.Row():
-                gr.Markdown("Add your model from HF.co, enter model ID.")
                 hf_model = gr.Dropdown(label="HuggingFace checkpoint", choices=["runwayml/stable-diffusion-v1-5", "stabilityai/stable-diffusion-2-1", "dataautogpt3/OpenDalleV1.1", "CompVis/stable-diffusion-v1-4", "playgroundai/playground-v2-1024px-aesthetic", "prompthero/openjourney", "openskyml/dreamdrop-v1", "SG161222/Realistic_Vision_V1.4", "digiplay/AbsoluteReality_v1.8.1", "openskyml/dalle-3-xl", "Lykon/dreamshaper-7", "Pclanglais/Mickey-1928"], value="runwayml/stable-diffusion-v1-5", allow_custom_value=True, interactive=True)
+                gr.Markdown("Add your model from HF.co, enter model ID.")
             with gr.Row():
                 with gr.Column(scale=6, min_width=600):
                     hf_prompt = gr.Textbox(placeholder="Prompt", show_label=False, lines=3, scale=3)