add config.py

app.py

@@ -26,7 +26,8 @@ import urllib.parse
 from config import (
     MINIMUM_IMAGE_NUMBER,
     MAXIMUM_IMAGE_NUMBER,
-    DEFAULT_NEGATIVE_PROMPT
+    DEFAULT_NEGATIVE_PROMPT,
+    DEFAULT_POSITIVE_PROMPT
 )
 
 preprocessor_controlnet = {
@@ -829,7 +830,7 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
                 task_gui = gr.Dropdown(
                     label="Task",
                     choices=sdxl_task,
-                    value=task_model_list[0]
+                    value=task_model_list[-6] or task_model_list[0],
                 )
                 model_name_gui = gr.Dropdown(
                     label="Model",
@@ -839,8 +840,9 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
                 )
                 prompt_gui = gr.Textbox(
                     lines=5,
-                    placeholder="Enter prompt",
-                    label="Prompt"
+                    placeholder="Enter Positive prompt",
+                    label="Prompt",
+                    value=DEFAULT_POSITIVE_PROMPT
                 )
                 neg_prompt_gui = gr.Textbox(
                     lines=3,
@@ -895,10 +897,31 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
                     value=7.5,
                     label="CFG"
                 )
-                sampler_gui = gr.Dropdown(label="Sampler", choices=scheduler_names, value="DPM++ 2M Karras")
-                img_width_gui = gr.Slider(minimum=64, maximum=4096, step=8, value=1024, label="Img Width")
-                img_height_gui = gr.Slider(minimum=64, maximum=4096, step=8, value=1024, label="Img Height")
-                seed_gui = gr.Number(minimum=-1, maximum=9999999999, value=-1, label="Seed")
+                sampler_gui = gr.Dropdown(
+                    label="Sampler",
+                    choices=scheduler_names,
+                    value="DPM++ 2M Karras"
+                )
+                img_width_gui = gr.Slider(
+                    minimum=64,
+                    maximum=4096,
+                    step=8,
+                    value=1024,
+                    label="Img Width"
+                )
+                img_height_gui = gr.Slider(
+                    minimum=64,
+                    maximum=4096,
+                    step=8,
+                    value=1024,
+                    label="Img Height"
+                )
+                seed_gui = gr.Number(
+                    minimum=-1,
+                    maximum=9999999999,
+                    value=-1,
+                    label="Seed"
+                )
                 with gr.Row():
                     clip_skip_gui = gr.Checkbox(value=True, label="Layer 2 Clip Skip")
                     free_u_gui = gr.Checkbox(value=True, label="FreeU")
@@ -1022,7 +1045,13 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
                         value=1.4,
                         label="Upscale by"
                     )
-                    esrgan_tile_gui = gr.Slider(minimum=0, value=100, maximum=500, step=1, label="ESRGAN Tile")
+                    esrgan_tile_gui = gr.Slider(
+                        minimum=0,
+                        value=100,
+                        maximum=500,
+                        step=1,
+                        label="ESRGAN Tile"
+                    )
                     esrgan_tile_overlap_gui = gr.Slider(
                         minimum=1,
                         maximum=200,
@@ -1072,17 +1101,57 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
                         value=0.33,
                         label="Lora Scale 1"
                     )
-                    lora2_gui = gr.Dropdown(label="Lora2", choices=lora_model_list)
-                    lora_scale_2_gui = gr.Slider(minimum=-2, maximum=2, step=0.01, value=0.33, label="Lora Scale 2")
-                    lora3_gui = gr.Dropdown(label="Lora3", choices=lora_model_list)
-                    lora_scale_3_gui = gr.Slider(minimum=-2, maximum=2, step=0.01, value=0.33, label="Lora Scale 3")
-                    lora4_gui = gr.Dropdown(label="Lora4", choices=lora_model_list)
-                    lora_scale_4_gui = gr.Slider(minimum=-2, maximum=2, step=0.01, value=0.33, label="Lora Scale 4")
-                    lora5_gui = gr.Dropdown(label="Lora5", choices=lora_model_list)
-                    lora_scale_5_gui = gr.Slider(minimum=-2, maximum=2, step=0.01, value=0.33, label="Lora Scale 5")
+                    lora2_gui = gr.Dropdown(
+                        label="Lora2",
+                        choices=lora_model_list
+                    )
+                    lora_scale_2_gui = gr.Slider(
+                        minimum=-2,
+                        maximum=2,
+                        step=0.01,
+                        value=0.33,
+                        label="Lora Scale 2"
+                    )
+                    lora3_gui = gr.Dropdown(
+                        label="Lora3",
+                        choices=lora_model_list
+                    )
+                    lora_scale_3_gui = gr.Slider(
+                        minimum=-2,
+                        maximum=2,
+                        step=0.01,
+                        value=0.33,
+                        label="Lora Scale 3"
+                    )
+                    lora4_gui = gr.Dropdown(
+                        label="Lora4",
+                        choices=lora_model_list
+                    )
+                    lora_scale_4_gui = gr.Slider(
+                        minimum=-2,
+                        maximum=2,
+                        step=0.01,
+                        value=0.33,
+                        label="Lora Scale 4"
+                    )
+                    lora5_gui = gr.Dropdown(
+                        label="Lora5",
+                        choices=lora_model_list
+                    )
+                    lora_scale_5_gui = gr.Slider(
+                        minimum=-2,
+                        maximum=2,
+                        step=0.01,
+                        value=0.33,
+                        label="Lora Scale 5"
+                    )
 
                     with gr.Accordion("From URL", open=False, visible=True):
-                        text_lora = gr.Textbox(label="URL", placeholder="http://...my_lora_url.safetensors", lines=1)
+                        text_lora = gr.Textbox(
+                            label="URL",
+                            placeholder="http://...my_lora_url.safetensors",
+                            lines=1
+                        )
                         button_lora = gr.Button("Get and update lists of LoRAs")
                         button_lora.click(
                             get_my_lora,
@@ -1148,27 +1217,74 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
                         value=512,
                         label="Preprocess Resolution"
                     )
-                    low_threshold_gui = gr.Slider(minimum=1, maximum=255, step=1, value=100,
-                                                  label="Canny low threshold")
-                    high_threshold_gui = gr.Slider(minimum=1, maximum=255, step=1, value=200,
-                                                   label="Canny high threshold")
-                    value_threshold_gui = gr.Slider(minimum=1, maximum=2.0, step=0.01, value=0.1,
-                                                    label="Hough value threshold (MLSD)")
-                    distance_threshold_gui = gr.Slider(minimum=1, maximum=20.0, step=0.01, value=0.1,
-                                                       label="Hough distance threshold (MLSD)")
-                    control_net_output_scaling_gui = gr.Slider(minimum=0, maximum=5.0, step=0.1, value=1,
-                                                               label="ControlNet Output Scaling in UNet")
-                    control_net_start_threshold_gui = gr.Slider(minimum=0, maximum=1, step=0.01, value=0,
-                                                                label="ControlNet Start Threshold (%)")
-                    control_net_stop_threshold_gui = gr.Slider(minimum=0, maximum=1, step=0.01, value=1,
-                                                               label="ControlNet Stop Threshold (%)")
+                    low_threshold_gui = gr.Slider(
+                        minimum=1,
+                        maximum=255,
+                        step=1,
+                        value=100,
+                        label="Canny low threshold"
+                    )
+                    high_threshold_gui = gr.Slider(
+                        minimum=1,
+                        maximum=255,
+                        step=1,
+                        value=200,
+                        label="Canny high threshold"
+                    )
+                    value_threshold_gui = gr.Slider(
+                        minimum=1,
+                        maximum=2.0,
+                        step=0.01, value=0.1,
+                        label="Hough value threshold (MLSD)"
+                    )
+                    distance_threshold_gui = gr.Slider(
+                        minimum=1,
+                        maximum=20.0,
+                        step=0.01,
+                        value=0.1,
+                        label="Hough distance threshold (MLSD)"
+                    )
+                    control_net_output_scaling_gui = gr.Slider(
+                        minimum=0,
+                        maximum=5.0,
+                        step=0.1,
+                        value=1,
+                        label="ControlNet Output Scaling in UNet"
+                    )
+                    control_net_start_threshold_gui = gr.Slider(
+                        minimum=0,
+                        maximum=1,
+                        step=0.01,
+                        value=0,
+                        label="ControlNet Start Threshold (%)"
+                    )
+                    control_net_stop_threshold_gui = gr.Slider(
+                        minimum=0,
+                        maximum=1,
+                        step=0.01,
+                        value=1,
+                        label="ControlNet Stop Threshold (%)"
+                    )
 
                 with gr.Accordion("T2I adapter", open=False, visible=True):
-                    t2i_adapter_preprocessor_gui = gr.Checkbox(value=True, label="T2i Adapter Preprocessor")
-                    adapter_conditioning_scale_gui = gr.Slider(minimum=0, maximum=5., step=0.1, value=1,
-                                                               label="Adapter Conditioning Scale")
-                    adapter_conditioning_factor_gui = gr.Slider(minimum=0, maximum=1., step=0.01, value=0.55,
-                                                                label="Adapter Conditioning Factor (%)")
+                    t2i_adapter_preprocessor_gui = gr.Checkbox(
+                        value=True,
+                        label="T2i Adapter Preprocessor"
+                    )
+                    adapter_conditioning_scale_gui = gr.Slider(
+                        minimum=0,
+                        maximum=5.,
+                        step=0.1,
+                        value=1,
+                        label="Adapter Conditioning Scale"
+                    )
+                    adapter_conditioning_factor_gui = gr.Slider(
+                        minimum=0,
+                        maximum=1.,
+                        step=0.01,
+                        value=0.55,
+                        label="Adapter Conditioning Factor (%)"
+                    )
 
                 with gr.Accordion("Styles", open=False, visible=True):
 
@@ -1198,10 +1314,17 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
                         return gr.update(value=None, choices=sd_gen.model.STYLE_NAMES)
 
 
-                    style_button.click(load_json_style_file, [style_json_gui], [style_prompt_gui])
+                    style_button.click(
+                        load_json_style_file,
+                        [style_json_gui],
+                        [style_prompt_gui]
+                    )
 
                 with gr.Accordion("Textual inversion", open=False, visible=False):
-                    active_textual_inversion_gui = gr.Checkbox(value=False, label="Active Textual Inversion in prompt")
+                    active_textual_inversion_gui = gr.Checkbox(
+                        value=False,
+                        label="Active Textual Inversion in prompt"
+                    )
 
                 with gr.Accordion("Detailfix", open=False, visible=True):
 
@@ -1213,8 +1336,11 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
 
                     # Adetailer Sampler
                     adetailer_sampler_options = ["Use same sampler"] + scheduler_names[:-1]
-                    adetailer_sampler_gui = gr.Dropdown(label="Adetailer sampler:", choices=adetailer_sampler_options,
-                                                        value="Use same sampler")
+                    adetailer_sampler_gui = gr.Dropdown(
+                        label="Adetailer sampler:",
+                        choices=adetailer_sampler_options,
+                        value="Use same sampler"
+                    )
 
                     with gr.Accordion("Detailfix A", open=False, visible=True):
                         # Adetailer A
@@ -1344,7 +1470,8 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
                 5. Convert an image to a coloring drawing
                 6. ControlNet OpenPose SD 1.5
 
-                - Different tasks can be performed, such as img2img or using the IP adapter, to preserve a person's appearance or a specific style based on an image.
+                - Different tasks can be performed, such as img2img or using the IP adapter, \
+                to preserve a person's appearance or a specific style based on an image.
                 """
             )
             gr.Examples(
@@ -1782,14 +1909,22 @@ with gr.Blocks(theme="NoCrypt/miku", css=CSS) as app:
                 img_result = gr.Image(label="Mask image", show_label=True, interactive=False)
                 btn_send = gr.Button("Send to the first tab")
 
-            btn.click(create_mask_now, [image_base, invert_mask], [img_source, img_result])
+            btn.click(
+                create_mask_now,
+                [image_base, invert_mask],
+                [img_source, img_result]
+            )
 
 
             def send_img(img_source, img_result):
                 return img_source, img_result
 
 
-            btn_send.click(send_img, [img_source, img_result], [image_control, image_mask_gui])
+            btn_send.click(
+                send_img,
+                [img_source, img_result],
+                [image_control, image_mask_gui]
+            )
 
     generate_button.click(
         fn=sd_gen.load_new_model,

config.py

@@ -1,32 +1,30 @@
 MINIMUM_IMAGE_NUMBER = 1
 MAXIMUM_IMAGE_NUMBER = 6
-DEFAULT_NEGATIVE_PROMPT = """
-                        (EasyNegative:1.05), easynegative, bad_prompt_version2, (poorly rendered), ugly, disfigured, 
-                        cross eyed, cloned face, bad symmetry, bad anatomy, low quality, blurry, text, watermark, logo, 
-                        signature, jpeg, artifacts, monochrome, paintings, oil, (hands:1.15), European Woman, woman, 
-                        noise, dark skin, (3d), By bad artist -neg,bhands-neg, canvas frame, (badly drawn), (badly painted),
+DEFAULT_NEGATIVE_PROMPT = """(EasyNegative:1.05), easynegative, bad_prompt_version2, (poorly rendered), ugly, disfigured, 
+cross eyed, cloned face, bad symmetry, bad anatomy, low quality, blurry, text, watermark, logo, 
+signature, jpeg, artifacts, monochrome, paintings, oil, (hands:1.15), European Woman, woman, 
+noise, dark skin, (3d), By bad artist -neg,bhands-neg, canvas frame, (badly drawn), (badly painted),
 """
 
-DEFAULT_POSITIVE_PROMPT = """
-  1girl, loli, serious, cocky, sporty, basketball jersey, lakers, basketball, half body, 
-                        (basketball court), sweaty, dribble, high detailed, sunny, day light,
-                        
-                        score_9, score_8_up, score_7_up, very aesthetic,
-                        layered, white hair, featuring soft waves and a slight outward curl at the ends, 
-                        parted in the middle, (short hair),
-                        red glowing eyes, beautiful hazel red eyes, highly detailed eyes, thin eyebrows, 
-                        detailed black eyebrows,
-                        long eyelashes,
-                        detailed kornea,
-                        fisheye,
-                        blush,
-                        parted lips, gorgeous lips, pink thin lips,
-                        detailed ear, human ears, human ear, highly detailed ears, highly detailed ear, detailed ears,
-                        perfect anatomy,
-                        
-                        five fingers,
-                        two hands,
-                        short girl, narrow body, detailed face, petite,
-                        medium boobs,
-                        armpits, (naval), 
+DEFAULT_POSITIVE_PROMPT = """1girl, loli, serious, cocky, sporty, basketball jersey, lakers, basketball, half body, 
+(basketball court), sweaty, dribble, high detailed, sunny, day light,
+
+score_9, score_8_up, score_7_up, very aesthetic,
+layered, white hair, featuring soft waves and a slight outward curl at the ends, 
+parted in the middle, (short hair),
+red glowing eyes, beautiful hazel red eyes, highly detailed eyes, thin eyebrows, 
+detailed black eyebrows,
+long eyelashes,
+detailed kornea,
+fisheye,
+blush,
+parted lips, gorgeous lips, pink thin lips,
+detailed ear, human ears, human ear, highly detailed ears, highly detailed ear, detailed ears,
+perfect anatomy,
+
+five fingers,
+two hands,
+short girl, narrow body, detailed face, petite,
+medium boobs,
+armpits, (naval), 
 """