Update app.py

app.py

@@ -499,12 +499,9 @@ with gr.Blocks(css=css) as demo:
         send_to_png_i2i.click(send_to_img2img_def, inputs=i2i_past_url, outputs=image_input)
         with gr.Tab("XL Inference"):
             with gr.Row():
-                with gr.Column(scale=6):
-                    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            
-                    """)
+                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():
@@ -528,8 +525,8 @@ with gr.Blocks(css=css) as demo:
 
                             with gr.Row():
                                 with gr.Column(scale=1):
-                                    xl_width = gr.Slider(label="Width", maximum=1536, minimum=768, value=1024, step=8)
-                                    xl_height = gr.Slider(label="Height", maximum=1536, minimum=768, value=1024, step=8)
+                                    xl_width = gr.Slider(label="Width", maximum=1024, minimum=640, value=1024, step=8)
+                                    xl_height = gr.Slider(label="Height", maximum=1024, minimum=0640, value=1024, step=8)
 
                                 with gr.Column(scale=1):
                                     xl_batch_size = gr.Slider(label="Batch Size", maximum=1, value=1)
@@ -541,7 +538,6 @@ with gr.Blocks(css=css) as demo:
                     with gr.Column(scale=2):
                         xl_image_output = gr.Gallery(show_label=False, rows=2, preview=True)
                         xl_send_to_img2img = gr.Button(value="Send OUTPUT IMAGE to img2img")
-                        xl_send_to_png = gr.Button(value="Send OUTPUT IMAGE to PNG Info")
                         xl_past_url = gr.Textbox(visible=False, interactive=False)
 
                 xl_text_button.click(xl_txt2img, inputs=[xl_prompt, xl_negative_prompt, xl_model, xl_steps, xl_sampler, xl_cfg_scale, xl_width, xl_height,
@@ -570,8 +566,8 @@ 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=1536, minimum=768, value=1024, step=8)
-                                    xl_i2i_height = gr.Slider(label="Height", maximum=1536, minimum=768, value=1024, step=8)
+                                    xl_i2i_width = gr.Slider(label="Width", maximum=1024, minimum=640, value=1024, step=8)
+                                    xl_i2i_height = gr.Slider(label="Height", maximum=1024, minimum=640, value=1024, step=8)
 
                                 with gr.Column(scale=1):
                                     xl_i2i_batch_size = gr.Slider(label="Batch Size", maximum=1, value=1)
@@ -584,15 +580,12 @@ with gr.Blocks(css=css) as demo:
 
                     with gr.Column(scale=2):
                         xl_i2i_image_output = gr.Gallery(show_label=False, rows=2, preview=True)
-                        xl_send_to_png_i2i = gr.Button(value="Send INPUT IMAGE to PNG Info")
                         xl_i2i_past_url = gr.Textbox(visible=False, interactive=False)
 
                 xl_i2i_text_button.click(xl_img2img, inputs=[xl_i2i_image_input, xl_i2i_denoising, xl_i2i_prompt, xl_i2i_negative_prompt,
                                         xl_model, xl_i2i_steps, xl_i2i_sampler, xl_i2i_cfg_scale, xl_i2i_width, xl_i2i_height,
                                         xl_i2i_seed], outputs=[xl_i2i_image_output, xl_i2i_past_url], concurrency_limit=64)
         xl_send_to_img2img.click(send_to_img2img_def, inputs=xl_past_url, outputs=xl_i2i_image_input)
-        xl_send_to_png.click(send_to_img2img_def, inputs=xl_past_url, outputs=image_input)
-        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():
                 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)