More lines for descriptions

gradio_demo.py

@@ -29,7 +29,7 @@ parser.add_argument("--port", type=int, default='6688')
 parser.add_argument("--no_llava", action='store_true', default=True)#False
 parser.add_argument("--use_image_slider", action='store_true', default=False)
 parser.add_argument("--log_history", action='store_true', default=False)
-parser.add_argument("--loading_half_params", action='store_true', default=True)#False
+parser.add_argument("--loading_half_params", action='store_true', default=False)#False
 parser.add_argument("--use_tile_vae", action='store_true', default=False)#False
 parser.add_argument("--encoder_tile_size", type=int, default=512)
 parser.add_argument("--decoder_tile_size", type=int, default=64)
@@ -264,7 +264,7 @@ with gr.Blocks(title='SUPIR') as interface:
                 with gr.Column():
                     gr.Markdown("<center>Pre-denoising Output</center>")
                     denoise_image = gr.Image(type="numpy", elem_id="image-s1", height=400, width=400)
-            prompt = gr.Textbox(label="Image description", value="", placeholder="A person, walking, in a town, Summer, photorealistic")
+            prompt = gr.Textbox(label="Image description", value="", placeholder="A person, walking, in a town, Summer, photorealistic", lines=3)
 
             with gr.Accordion("Pre-denoising options", open=False):
                 gamma_correction = gr.Slider(label="Gamma Correction", minimum=0.1, maximum=2.0, value=1.0, step=0.1)
@@ -272,7 +272,7 @@ with gr.Blocks(title='SUPIR') as interface:
             with gr.Accordion("LLaVA options", open=False):
                 temperature = gr.Slider(label="Temperature", info = "lower=Always similar, higher=More creative", minimum=0., maximum=1.0, value=0.2, step=0.1)
                 top_p = gr.Slider(label="Top P", info = "Percent of tokens shortlisted", minimum=0., maximum=1.0, value=0.7, step=0.1)
-                qs = gr.Textbox(label="Question", info="Describe the image and its style in a very detailed manner", placeholder="The image is a realistic photography, not an art painting.")
+                qs = gr.Textbox(label="Question", info="Ask LLaVa what description you want", value="Describe the image and its style in a very detailed manner. The image is a realistic photography, not an art painting.", lines=3)
 
             with gr.Accordion("Restoring options", open=False):
                 num_samples = gr.Slider(label="Num Samples", info="Number of generated results; I discourage to increase because the process is limited to 3 min", minimum=1, maximum=4 if not args.use_image_slider else 1
@@ -291,13 +291,15 @@ with gr.Blocks(title='SUPIR') as interface:
                                       value='Cinematic, High Contrast, highly detailed, taken using a Canon EOS R '
                                             'camera, hyper detailed photo - realistic maximum detail, 32k, Color '
                                             'Grading, ultra HD, extreme meticulous detailing, skin pore detailing, '
-                                            'hyper sharpness, perfect without deformations.')
+                                            'hyper sharpness, perfect without deformations.',
+                                      lines=3)
                 n_prompt = gr.Textbox(label="Default Negative Prompt",
                                       info="List what the image does NOT represent",
                                       value='painting, oil painting, illustration, drawing, art, sketch, anime, '
                                             'cartoon, CG Style, 3D render, unreal engine, blurring, bokeh, ugly, dirty, messy, '
                                             'worst quality, low quality, frames, watermark, signature, jpeg artifacts, '
-                                            'deformed, lowres, over-smooth')
+                                            'deformed, lowres, over-smooth',
+                                      lines=3)
                 with gr.Row():
                     with gr.Column():
                         linear_CFG = gr.Checkbox(label="Linear CFG", value=True)
@@ -331,7 +333,7 @@ with gr.Blocks(title='SUPIR') as interface:
                 with gr.Column():
                     denoise_button = gr.Button(value="Pre-denoise (KO)")
                 with gr.Column():
-                    llave_button = gr.Button(value="Auto-generate description with LlaVa (disabled))")
+                    llave_button = gr.Button(value="Generate description by LlaVa (KO)")
                 with gr.Column():
                     diffusion_button = gr.Button(value="🚀 Restore", variant = "primary")
             with gr.Row():