Update app.py

app.py

@@ -283,15 +283,15 @@ def change_checkpoint(name, progress=gr.Progress()):
 with gr.Blocks(css=css) as demo:
     with gr.Row():
         with gr.Column(scale=6):
-            model = gr.Dropdown(interactive=True, show_label=True,
+            model = gr.Dropdown(interactive=True, show_label=True, value="juggernaut_aftermath.safetensors [5e20c455]",
                                 label="Stable Diffusion Checkpoint", choices=prodia_client.list_models())
 
     with gr.Tabs() as tabs:
         with gr.Tab("txt2img", id='t2i'):
             with gr.Row():
                 with gr.Column(scale=6, min_width=600):
-                    prompt = gr.Textbox(placeholder="Prompt", show_label=False, lines=3)
-                    negative_prompt = gr.Textbox(placeholder="Negative Prompt", show_label=False, lines=3,
+                    prompt = gr.Textbox(placeholder="Prompt", show_label=False, lines=3, scale=3)
+                    negative_prompt = gr.Textbox(placeholder="Negative Prompt", show_label=False, lines=3, scale=1,
                                                  value="(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation")
                 with gr.Column():
                     text_button = gr.Button("Generate", variant='primary', elem_id="generate")
@@ -317,7 +317,7 @@ with gr.Blocks(css=css) as demo:
                                 batch_size = gr.Slider(label="Batch Size", maximum=1, value=1)
                                 batch_count = gr.Slider(label="Batch Count", maximum=1, value=1)
 
-                        cfg_scale = gr.Slider(label="CFG Scale", minimum=1, maximum=20, value=8, step=1)
+                        cfg_scale = gr.Slider(label="CFG Scale", minimum=0.1, maximum=20, value=8, step=0.1)
                         seed = gr.Number(label="Seed", value=-1)
 
                 with gr.Column(scale=2):
@@ -332,8 +332,8 @@ with gr.Blocks(css=css) as demo:
         with gr.Tab("img2img", id='i2i'):
             with gr.Row():
                 with gr.Column(scale=6, min_width=600):
-                    i2i_prompt = gr.Textbox(placeholder="Prompt", show_label=False, lines=3)
-                    i2i_negative_prompt = gr.Textbox(placeholder="Negative Prompt", show_label=False, lines=3,
+                    i2i_prompt = gr.Textbox(placeholder="Prompt", show_label=False, lines=3, scale=3)
+                    i2i_negative_prompt = gr.Textbox(placeholder="Negative Prompt", show_label=False, lines=3, scale=1,
                                                      value="(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation")
                 with gr.Column():
                     i2i_text_button = gr.Button("Generate", variant='primary', elem_id="generate")
@@ -345,7 +345,7 @@ with gr.Blocks(css=css) as demo:
 
                         with gr.Row():
                             with gr.Column(scale=1):
-                                i2i_sampler = gr.Dropdown(value="Euler a", show_label=True, label="Sampling Method",
+                                i2i_sampler = gr.Dropdown(value="DPM++ 2M Karras", show_label=True, label="Sampling Method",
                                                           choices=prodia_client.list_samplers())
 
                             with gr.Column(scale=1):
@@ -361,7 +361,7 @@ with gr.Blocks(css=css) as demo:
                                 i2i_batch_size = gr.Slider(label="Batch Size", maximum=1, value=1)
                                 i2i_batch_count = gr.Slider(label="Batch Count", maximum=1, value=1)
 
-                        i2i_cfg_scale = gr.Slider(label="CFG Scale", minimum=1, maximum=20, value=7, step=1)
+                        i2i_cfg_scale = gr.Slider(label="CFG Scale", minimum=0.1, maximum=20, value=7, step=0.1)
                         i2i_denoising = gr.Slider(label="Denoising Strength", minimum=0, maximum=1, value=0.7, step=0.1)
                         i2i_seed = gr.Number(label="Seed", value=-1)
                         
@@ -428,8 +428,8 @@ with gr.Blocks(css=css) as demo:
                 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)
             with gr.Row():
                 with gr.Column(scale=6, min_width=600):
-                    hf_prompt = gr.Textbox(placeholder="Prompt", show_label=False, lines=3)
-                    hf_negative_prompt = gr.Textbox(placeholder="Negative Prompt", show_label=False, lines=3,
+                    hf_prompt = gr.Textbox(placeholder="Prompt", show_label=False, lines=3, scale=3)
+                    hf_negative_prompt = gr.Textbox(placeholder="Negative Prompt", show_label=False, lines=3, scale=1,
                                                  value="(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation")
                 with gr.Column():
                     hf_text_button = gr.Button("Generate with HF", variant='primary', elem_id="generate")
@@ -451,7 +451,7 @@ with gr.Blocks(css=css) as demo:
                                 hf_batch_size = gr.Slider(label="Batch Size", maximum=1, value=1)
                                 hf_batch_count = gr.Slider(label="Batch Count", maximum=1, value=1)
 
-                        hf_cfg_scale = gr.Slider(label="CFG Scale", minimum=1, maximum=20, value=8, step=1)
+                        hf_cfg_scale = gr.Slider(label="CFG Scale", minimum=0.1, maximum=20, value=8, step=0.1)
                         hf_seed = gr.Number(label="Seed", value=-1)
 
                 with gr.Column(scale=2):