Upload 3 files

app.py

@@ -1,9 +1,5 @@
 import spaces
-
-@spaces.GPU
-def dummy():
-    pass
-
+import gradio as gr
 import os
 from stablepy import Model_Diffusers
 from stablepy.diffusers_vanilla.model import scheduler_names
@@ -166,55 +162,18 @@ def process_string(input_string):
 
 
 ## BEGIN MOD
-from modutils import (
-    list_uniq,
-    download_private_repo,
-    get_model_id_list,
-    get_tupled_embed_list,
-    get_lora_model_list,
-    get_all_lora_tupled_list,
-    update_loras,
-    apply_lora_prompt,
-    set_prompt_loras,
-    get_my_lora,
-    upload_file_lora,
-    move_file_lora,
-    search_civitai_lora,
-    select_civitai_lora,
-    set_textual_inversion_prompt,
-    get_model_pipeline,
-    change_interface_mode,
-    get_t2i_model_info,
-    get_tupled_model_list,
-    save_gallery_images,
-    set_optimization,
-    set_sampler_settings,
-    set_quick_presets,
-    process_style_prompt,
-    optimization_list,
-    preset_styles,
-    preset_quality,
-    preset_sampler_setting,
-)
-from env import (
-    hf_token,
-    CIVITAI_API_KEY,
-    HF_LORA_ESSENTIAL_PRIVATE_REPO,
-    HF_VAE_PRIVATE_REPO,
-    HF_SDXL_EMBEDS_NEGATIVE_PRIVATE_REPO,
-    HF_SDXL_EMBEDS_POSITIVE_PRIVATE_REPO,
-    directory_models,
-    directory_loras,
-    directory_vaes,
-    directory_embeds,
-    directory_embeds_sdxl,
-    directory_embeds_positive_sdxl,
-    load_diffusers_format_model,
-    download_model_list,
-    download_lora_list,
-    download_vae_list,
-    download_embeds,
-)
+from modutils import (list_uniq, download_private_repo, get_model_id_list, get_tupled_embed_list,
+    get_lora_model_list, get_all_lora_tupled_list, update_loras, apply_lora_prompt, set_prompt_loras,
+    get_my_lora, upload_file_lora, move_file_lora, search_civitai_lora, select_civitai_lora,
+    set_textual_inversion_prompt, get_model_pipeline, change_interface_mode, get_t2i_model_info,
+    get_tupled_model_list, save_gallery_images, set_optimization, set_sampler_settings,
+    set_quick_presets, process_style_prompt, optimization_list,
+    preset_styles, preset_quality, preset_sampler_setting)
+from env import (hf_token, CIVITAI_API_KEY, HF_LORA_ESSENTIAL_PRIVATE_REPO, HF_VAE_PRIVATE_REPO,
+    HF_SDXL_EMBEDS_NEGATIVE_PRIVATE_REPO, HF_SDXL_EMBEDS_POSITIVE_PRIVATE_REPO,
+    directory_models, directory_loras, directory_vaes, directory_embeds, directory_embeds_sdxl,
+    directory_embeds_positive_sdxl, load_diffusers_format_model,
+    download_model_list, download_lora_list, download_vae_list, download_embeds)
 
 # - **Download Models**
 download_model = ", ".join(download_model_list)
@@ -328,7 +287,6 @@ def extract_parameters(input_string):
 #######################
 # GUI
 #######################
-import spaces
 import gradio as gr
 from PIL import Image
 import IPython.display
@@ -346,30 +304,12 @@ warnings.filterwarnings(action="ignore", category=FutureWarning, module="transfo
 from stablepy import logger
 logger.setLevel(logging.CRITICAL)
 
-from v2 import (
-    V2_ALL_MODELS,
-    v2_random_prompt,
-    v2_upsampling_prompt,
-)
-from utils import (
-    gradio_copy_text,
-    COPY_ACTION_JS,
-    gradio_copy_prompt,
-    V2_ASPECT_RATIO_OPTIONS,
-    V2_RATING_OPTIONS,
-    V2_LENGTH_OPTIONS,
-    V2_IDENTITY_OPTIONS
-)
-from tagger import (
-    predict_tags_wd,
-    convert_danbooru_to_e621_prompt,
-    remove_specific_prompt,
-    insert_recom_prompt,
-    insert_model_recom_prompt,
-    compose_prompt_to_copy,
-    translate_prompt,
-    select_random_character,
-)
+from v2 import V2_ALL_MODELS, v2_random_prompt, v2_upsampling_prompt
+from utils import (gradio_copy_text, COPY_ACTION_JS, gradio_copy_prompt,
+    V2_ASPECT_RATIO_OPTIONS, V2_RATING_OPTIONS, V2_LENGTH_OPTIONS, V2_IDENTITY_OPTIONS)
+from tagger import (predict_tags_wd, convert_danbooru_to_e621_prompt,
+    remove_specific_prompt, insert_recom_prompt, insert_model_recom_prompt,
+    compose_prompt_to_copy, translate_prompt, select_random_character)
 def description_ui():
     gr.Markdown(
         """
@@ -431,7 +371,6 @@ class GuiSD:
             if incompatible_vae:
                 vae_model = None
 
-        
         self.model.load_pipe(
             model_name,
             task_name=task_stablepy[task],
@@ -779,16 +718,16 @@ class GuiSD:
             info_state = info_state + "<br>" + "<br>".join(msg_lora)
         yield self.infer_short(self.model, pipe_params), info_state
 
-
 sd_gen = GuiSD()
 
 ## BEGIN MOD
 CSS ="""
-.gradio-container, #main {width:100%; height:100%; max-width:100%; padding-left:0; padding-right:0; margin-left:0; margin-right:0; !important;}
-.contain {display: flex; flex-direction: column; !important;}
-#component-0 {height: 100%; !important;}
-#gallery {flex-grow: 1; !important;}
-#model-info { text-align: center; }
+.gradio-container, #main { width:100%; height:100%; max-width:100%; padding-left:0; padding-right:0; margin-left:0; margin-right:0; !important; }
+.contain { display:flex; flex-direction:column; !important; }
+#component-0 { width:100%; height:100%; !important; }
+#gallery { flex-grow:1; !important; }
+.lora { min-width:480px; !important; }
+#model-info { text-align:center; }
 """
 ## END MOD
 
@@ -809,7 +748,7 @@ def update_task_options(model_name, task_name):
         return gr.update(value=task_name, choices=task_model_list)
 
 ## BEGIN MOD
-with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", fill_width=True, css=CSS) as app:
+with gr.Blocks(theme='NoCrypt/miku@>=1.2.2', elem_id="main", fill_width=True, css=CSS) as app:
     gr.Markdown("# 🧩 DiffuseCraft Mod")
     gr.Markdown(
         f"""
@@ -830,7 +769,7 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", fill_width=True, cs
                         quick_genre_gui = gr.Radio(label="Genre", choices=["Anime", "Photo"], value="Anime", interactive=True)
                         quick_speed_gui = gr.Radio(label="Speed", choices=["Fast", "Standard", "Heavy"], value="Standard", interactive=True)
                         quick_aspect_gui = gr.Radio(label="Aspect Ratio", choices=["1:1", "3:4"], value="1:1", interactive=True)
-                    with gr.Accordion(label="Advanced options", open=False):
+                    with gr.Row():
                         quality_selector_gui = gr.Dropdown(label="Quality Tags Presets", interactive=True, choices=list(preset_quality.keys()), value="None")
                         style_selector_gui = gr.Dropdown(label="Style Preset", interactive=True, choices=list(preset_styles.keys()), value="None")
                         sampler_selector_gui = gr.Dropdown(label="Sampler Quick Settings", interactive=True, choices=list(preset_sampler_setting.keys()), value="None")
@@ -839,19 +778,21 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", fill_width=True, cs
                     with gr.Accordion("Prompt from Image", open=False) as menu_from_image:
                         input_image_gui = gr.Image(label="Input image", type="pil", sources=["upload", "clipboard"], height=256)
                         with gr.Accordion(label="Advanced options", open=False):
-                            general_threshold_gui = gr.Slider(label="Threshold", minimum=0.0, maximum=1.0, value=0.3, step=0.01, interactive=True)
-                            character_threshold_gui = gr.Slider(label="Character threshold", minimum=0.0, maximum=1.0, value=0.8, step=0.01, interactive=True)
-                            tag_type_gui = gr.Radio(label="Convert tags to", info="danbooru for Animagine, e621 for Pony.", choices=["danbooru", "e621"], value="danbooru")
-                            recom_prompt_gui = gr.Radio(label="Insert reccomended prompt", choices=["None", "Animagine", "Pony"], value="None", interactive=True)
-                            keep_tags_gui = gr.Radio(label="Remove tags leaving only the following", choices=["body", "dress", "all"], value="all")
-                        image_algorithms = gr.CheckboxGroup(["Use WD Tagger"], label="Algorithms", value=["Use WD Tagger"], visible=False)
+                            with gr.Row():
+                                general_threshold_gui = gr.Slider(label="Threshold", minimum=0.0, maximum=1.0, value=0.3, step=0.01, interactive=True)
+                                character_threshold_gui = gr.Slider(label="Character threshold", minimum=0.0, maximum=1.0, value=0.8, step=0.01, interactive=True)
+                            with gr.Row():
+                                tag_type_gui = gr.Radio(label="Convert tags to", info="danbooru for Animagine, e621 for Pony.", choices=["danbooru", "e621"], value="danbooru")
+                                recom_prompt_gui = gr.Radio(label="Insert reccomended prompt", choices=["None", "Animagine", "Pony"], value="None", interactive=True)
+                                keep_tags_gui = gr.Radio(label="Remove tags leaving only the following", choices=["body", "dress", "all"], value="all")
+                            image_algorithms = gr.CheckboxGroup(["Use WD Tagger"], label="Algorithms", value=["Use WD Tagger"], visible=False)
                         generate_from_image_btn_gui = gr.Button(value="GENERATE TAGS FROM IMAGE")
                     prompt_gui = gr.Textbox(lines=6, placeholder="1girl, solo, ...", label="Prompt", show_copy_button=True)
                     with gr.Accordion("Negative prompt, etc.", open=False) as menu_negative:
                         neg_prompt_gui = gr.Textbox(lines=3, placeholder="lowres, (bad), ...", label="Negative prompt", show_copy_button=True)
                         translate_prompt_button = gr.Button(value="Translate prompt to English", size="sm", variant="secondary")
-                        insert_prompt_gui = gr.Radio(label="Insert reccomended positive / negative prompt", choices=["None", "Auto", "Animagine", "Pony"], value="Auto", interactive=True)
-                        with gr.Accordion(label="Advanced options", open=False):                            
+                        with gr.Row():
+                            insert_prompt_gui = gr.Radio(label="Insert reccomended positive / negative prompt", choices=["None", "Auto", "Animagine", "Pony"], value="Auto", interactive=True)                          
                             prompt_type_gui = gr.Radio(label="Convert tags to", choices=["danbooru", "e621"], value="e621", visible=False)
                             prompt_type_button = gr.Button(value="Convert prompt to Pony e621 style", size="sm", variant="secondary")
                         with gr.Row():
@@ -902,18 +843,30 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", fill_width=True, cs
                 actual_task_info = gr.HTML()
 
                 with gr.Accordion("Generation settings", open=False, visible=True) as menu_gen:
-                    steps_gui = gr.Slider(minimum=1, maximum=100, step=1, value=28, label="Steps")
-                    cfg_gui = gr.Slider(minimum=0, maximum=30, step=0.5, value=7.0, label="CFG")
-                    sampler_gui = gr.Dropdown(label="Sampler", choices=scheduler_names, value="Euler a")
-                    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")
                     with gr.Row():
+                        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")
+                        steps_gui = gr.Slider(minimum=1, maximum=100, step=1, value=28, label="Steps")
+                        cfg_gui = gr.Slider(minimum=0, maximum=30, step=0.5, value=7.0, label="CFG")
+                    with gr.Row():
+                        seed_gui = gr.Number(minimum=-1, maximum=9999999999, value=-1, label="Seed")
+                        num_images_gui = gr.Slider(minimum=1, maximum=4, step=1, value=1, label="Images")
                         clip_skip_gui = gr.Checkbox(value=False, label="Layer 2 Clip Skip")
                         free_u_gui = gr.Checkbox(value=False, label="FreeU")
-                    seed_gui = gr.Number(minimum=-1, maximum=9999999999, value=-1, label="Seed")
+                    with gr.Row():
+                        sampler_gui = gr.Dropdown(label="Sampler", choices=scheduler_names, value="Euler a")
+                        vae_model_gui = gr.Dropdown(label="VAE Model", choices=vae_model_list, value=vae_model_list[0])
+                        prompt_s_options = [
+                            ("Compel format: (word)weight", "Compel"),
+                            ("Classic format: (word:weight)", "Classic"),
+                            ("Classic-original format: (word:weight)", "Classic-original"),
+                            ("Classic-no_norm format: (word:weight)", "Classic-no_norm"),
+                            ("Classic-ignore", "Classic-ignore"),
+                            ("None", "None"),
+                        ]
+                        prompt_syntax_gui = gr.Dropdown(label="Prompt Syntax", choices=prompt_s_options, value=prompt_s_options[1][1])
 
                     with gr.Row(equal_height=False):
-                        
                         def run_set_params_gui(base_prompt):
                             valid_receptors = {  # default values
                                 "prompt": gr.update(value=base_prompt),
@@ -981,134 +934,190 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", fill_width=True, cs
                             run_set_random_seed, [], seed_gui
                         )
 
-                    num_images_gui = gr.Slider(minimum=1, maximum=4, step=1, value=1, label="Images")
-                    prompt_s_options = [
-                        ("Compel format: (word)weight", "Compel"),
-                        ("Classic format: (word:weight)", "Classic"),
-                        ("Classic-original format: (word:weight)", "Classic-original"),
-                        ("Classic-no_norm format: (word:weight)", "Classic-no_norm"),
-                        ("Classic-ignore", "Classic-ignore"),
-                        ("None", "None"),
-                    ]
-                    prompt_syntax_gui = gr.Dropdown(label="Prompt Syntax", choices=prompt_s_options, value=prompt_s_options[1][1])
-                    vae_model_gui = gr.Dropdown(label="VAE Model", choices=vae_model_list, value=vae_model_list[0])
-
-                with gr.Accordion("Hires fix", open=False, visible=True) as menu_hires:
-                    upscaler_keys = list(upscaler_dict_gui.keys())
-                    upscaler_model_path_gui = gr.Dropdown(label="Upscaler", choices=upscaler_keys, value=upscaler_dict_gui[upscaler_keys[0]])
-                    upscaler_increases_size_gui = gr.Slider(minimum=1.1, maximum=6., step=0.1, value=1.0, label="Upscale by")
-                    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, step=1, value=10, label="ESRGAN Tile Overlap")
-                    hires_steps_gui = gr.Slider(minimum=0, value=30, maximum=100, step=1, label="Hires Steps")
-                    hires_denoising_strength_gui = gr.Slider(minimum=0.1, maximum=1.0, step=0.01, value=0.55, label="Hires Denoising Strength")
-                    hires_sampler_gui = gr.Dropdown(label="Hires Sampler", choices=["Use same sampler"] + scheduler_names[:-1], value="Use same sampler")
-                    hires_prompt_gui = gr.Textbox(label="Hires Prompt", placeholder="Main prompt will be use", lines=3)
-                    hires_negative_prompt_gui = gr.Textbox(label="Hires Negative Prompt", placeholder="Main negative prompt will be use", lines=3)
-
                 with gr.Accordion("LoRA", open=False, visible=True) as menu_lora:
-                    lora1_gui = gr.Dropdown(label="LoRA1", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True)
-                    lora_scale_1_gui = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA Scale 1")
-                    with gr.Row():
-                        with gr.Group():
-                            lora1_info_gui = gr.Textbox(label="LoRA1 prompts", info="Example of prompt:", value="None", show_copy_button=True, interactive=False, visible=False)
-                            lora1_copy_gui = gr.Button(value="Copy example to prompt", visible=False)
-                        lora1_desc_gui = gr.Markdown(value="", visible=False)
-                    lora2_gui = gr.Dropdown(label="LoRA2", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True)
-                    lora_scale_2_gui = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA Scale 2")
-                    with gr.Row():
-                        with gr.Group():
-                            lora2_info_gui = gr.Textbox(label="LoRA2 prompts", info="Example of prompt:", value="None", show_copy_button=True, interactive=False, visible=False)
-                            lora2_copy_gui = gr.Button(value="Copy example to prompt", visible=False)
-                        lora2_desc_gui = gr.Markdown(value="", visible=False)
-                    lora3_gui = gr.Dropdown(label="LoRA3", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True)
-                    lora_scale_3_gui = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA Scale 3")
                     with gr.Row():
-                        with gr.Group():
-                            lora3_info_gui = gr.Textbox(label="LoRA3 prompts", info="Example of prompt:", value="None", show_copy_button=True, interactive=False, visible=False)
-                            lora3_copy_gui = gr.Button(value="Copy example to prompt", visible=False)
-                        lora3_desc_gui = gr.Markdown(value="", visible=False)
-                    lora4_gui = gr.Dropdown(label="LoRA4", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True)
-                    lora_scale_4_gui = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA Scale 4")
-                    with gr.Row():
-                        with gr.Group():
-                            lora4_info_gui = gr.Textbox(label="LoRA4 prompts", info="Example of prompt:", value="None", show_copy_button=True, interactive=False, visible=False)
-                            lora4_copy_gui = gr.Button(value="Copy example to prompt", visible=False)
-                        lora4_desc_gui = gr.Markdown(value="", visible=False)
-                    lora5_gui = gr.Dropdown(label="LoRA5", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True)
-                    lora_scale_5_gui = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA Scale 5")
-                    with gr.Row():
-                        with gr.Group():
-                            lora5_info_gui = gr.Textbox(label="LoRA5 prompts", info="Example of prompt", value="None", show_copy_button=True, interactive=False, visible=False)
-                            lora5_copy_gui = gr.Button(value="Copy example to prompt", visible=False)
-                        lora5_desc_gui = gr.Markdown(value="", visible=False)
+                        with gr.Column():
+                            lora1_gui = gr.Dropdown(label="LoRA1", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True, elem_classes="lora", min_width=320)
+                            lora_scale_1_gui = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA Scale 1")
+                            with gr.Row():
+                                with gr.Group():
+                                    lora1_info_gui = gr.Textbox(label="LoRA1 prompts", info="Example of prompt:", value="None", show_copy_button=True, interactive=False, visible=False)
+                                    lora1_copy_gui = gr.Button(value="Copy example to prompt", visible=False)
+                                lora1_desc_gui = gr.Markdown(value="", visible=False)
+                        with gr.Column():
+                            lora2_gui = gr.Dropdown(label="LoRA2", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True, elem_classes="lora", min_width=320)
+                            lora_scale_2_gui = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA Scale 2")
+                            with gr.Row():
+                                with gr.Group():
+                                    lora2_info_gui = gr.Textbox(label="LoRA2 prompts", info="Example of prompt:", value="None", show_copy_button=True, interactive=False, visible=False)
+                                    lora2_copy_gui = gr.Button(value="Copy example to prompt", visible=False)
+                                lora2_desc_gui = gr.Markdown(value="", visible=False)
+                        with gr.Column():
+                            lora3_gui = gr.Dropdown(label="LoRA3", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True, elem_classes="lora", min_width=320)
+                            lora_scale_3_gui = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA Scale 3")
+                            with gr.Row():
+                                with gr.Group():
+                                    lora3_info_gui = gr.Textbox(label="LoRA3 prompts", info="Example of prompt:", value="None", show_copy_button=True, interactive=False, visible=False)
+                                    lora3_copy_gui = gr.Button(value="Copy example to prompt", visible=False)
+                                lora3_desc_gui = gr.Markdown(value="", visible=False)
+                        with gr.Column():
+                            lora4_gui = gr.Dropdown(label="LoRA4", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True, elem_classes="lora", min_width=320)
+                            lora_scale_4_gui = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA Scale 4")
+                            with gr.Row():
+                                with gr.Group():
+                                    lora4_info_gui = gr.Textbox(label="LoRA4 prompts", info="Example of prompt:", value="None", show_copy_button=True, interactive=False, visible=False)
+                                    lora4_copy_gui = gr.Button(value="Copy example to prompt", visible=False)
+                                lora4_desc_gui = gr.Markdown(value="", visible=False)
+                        with gr.Column():
+                            lora5_gui = gr.Dropdown(label="LoRA5", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True, elem_classes="lora", min_width=320)
+                            lora_scale_5_gui = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA Scale 5")
+                            with gr.Row():
+                                with gr.Group():
+                                    lora5_info_gui = gr.Textbox(label="LoRA5 prompts", info="Example of prompt", value="None", show_copy_button=True, interactive=False, visible=False)
+                                    lora5_copy_gui = gr.Button(value="Copy example to prompt", visible=False)
+                                lora5_desc_gui = gr.Markdown(value="", visible=False)
                     with gr.Accordion("From URL", open=True, visible=True):
                         with gr.Row():
                             search_civitai_query_lora = gr.Textbox(label="Query", placeholder="oomuro sakurako...", lines=1)
                             search_civitai_basemodel_lora = gr.CheckboxGroup(label="Search LoRA for", choices=["Pony", "SD 1.5", "SDXL 1.0"], value=["Pony", "SDXL 1.0"])
                             search_civitai_button_lora = gr.Button("Search on Civitai")
-                        search_civitai_result_lora = gr.Dropdown(label="Search Results", choices=[("", "")], value="", allow_custom_value=True, visible=False)
                         search_civitai_desc_lora = gr.Markdown(value="", visible=False)
+                        search_civitai_result_lora = gr.Dropdown(label="Search Results", choices=[("", "")], value="", allow_custom_value=True, visible=False)
                         text_lora = gr.Textbox(label="URL", placeholder="http://...my_lora_url.safetensors", lines=1)
                         button_lora = gr.Button("Get and update lists of LoRAs")
                     with gr.Accordion("From Local", open=True, visible=True):
                         file_output_lora = gr.File(label="Uploaded LoRA", file_types=['.ckpt', '.pt', '.pth', '.safetensors', '.bin'], file_count="multiple", interactive=False, visible=False)
                         upload_button_lora = gr.UploadButton(label="Upload LoRA from your disk (very slow)", file_types=['.ckpt' , '.pt', '.pth', '.safetensors', '.bin'], file_count="multiple")
 
-                with gr.Accordion("ControlNet / Img2img / Inpaint", open=False, visible=True) as menu_i2i:
-                    image_control = gr.Image(label="Image ControlNet/Inpaint/Img2img", type="filepath")
-                    image_mask_gui = gr.Image(label="Image Mask", type="filepath")
-                    strength_gui = gr.Slider(
-                        minimum=0.01, maximum=1.0, step=0.01, value=0.55, label="Strength",
-                        info="This option adjusts the level of changes for img2img and inpainting."
-                    )
-                    image_resolution_gui = gr.Slider(minimum=64, maximum=2048, step=64, value=1024, label="Image Resolution")
-                    preprocessor_name_gui = gr.Dropdown(label="Preprocessor Name", choices=preprocessor_controlnet["canny"], value=preprocessor_controlnet["canny"][0])
-
-                    def change_preprocessor_choices(task):
-                        task = task_stablepy[task]
-                        if task in preprocessor_controlnet.keys():
-                            choices_task = preprocessor_controlnet[task]
-                        else:
-                            choices_task = preprocessor_controlnet["canny"]
-                        return gr.update(choices=choices_task, value=choices_task[0])
-
-                    task_gui.change(
-                        change_preprocessor_choices,
-                        [task_gui],
-                        [preprocessor_name_gui],
-                    )
-                    preprocess_resolution_gui = gr.Slider(minimum=64, maximum=2048, step=64, 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 (%)")
-
-                with gr.Accordion("Advanced functions", open=False, visible=True) as menu_advanced:
+                with gr.Column() as menu_advanced:
+                    with gr.Accordion("Hires fix", open=False, visible=True) as menu_hires:
+                        upscaler_keys = list(upscaler_dict_gui.keys())
+                        upscaler_model_path_gui = gr.Dropdown(label="Upscaler", choices=upscaler_keys, value=upscaler_dict_gui[upscaler_keys[0]])
+                        with gr.Row():
+                            upscaler_increases_size_gui = gr.Slider(minimum=1.1, maximum=6., step=0.1, value=1.0, label="Upscale by")
+                            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, step=1, value=10, label="ESRGAN Tile Overlap")
+                        with gr.Row():
+                            hires_steps_gui = gr.Slider(minimum=0, value=30, maximum=100, step=1, label="Hires Steps")
+                            hires_denoising_strength_gui = gr.Slider(minimum=0.1, maximum=1.0, step=0.01, value=0.55, label="Hires Denoising Strength")
+                            hires_sampler_gui = gr.Dropdown(label="Hires Sampler", choices=["Use same sampler"] + scheduler_names[:-1], value="Use same sampler")
+                        hires_prompt_gui = gr.Textbox(label="Hires Prompt", placeholder="Main prompt will be use", lines=3)
+                        hires_negative_prompt_gui = gr.Textbox(label="Hires Negative Prompt", placeholder="Main negative prompt will be use", lines=3)
+
+                    with gr.Accordion("Detailfix", open=False, visible=True) as menu_detail:
+                        with gr.Row():
+
+                            # Adetailer Inpaint Only
+                            adetailer_inpaint_only_gui = gr.Checkbox(label="Inpaint only", value=True)
+
+                            # Adetailer Verbose
+                            adetailer_verbose_gui = gr.Checkbox(label="Verbose", value=False)
+
+                            # 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")
+
+                        with gr.Accordion("Detailfix A", open=True, visible=True):
+                            # Adetailer A
+                            adetailer_active_a_gui = gr.Checkbox(label="Enable Adetailer A", value=False)
+                            prompt_ad_a_gui = gr.Textbox(label="Main prompt", placeholder="Main prompt will be use", lines=3)
+                            negative_prompt_ad_a_gui = gr.Textbox(label="Negative prompt", placeholder="Main negative prompt will be use", lines=3)
+                            with gr.Row():
+                                strength_ad_a_gui = gr.Number(label="Strength:", value=0.35, step=0.01, minimum=0.01, maximum=1.0)
+                                face_detector_ad_a_gui = gr.Checkbox(label="Face detector", value=True)
+                                person_detector_ad_a_gui = gr.Checkbox(label="Person detector", value=True)
+                                hand_detector_ad_a_gui = gr.Checkbox(label="Hand detector", value=False)
+                            with gr.Row():
+                                mask_dilation_a_gui = gr.Number(label="Mask dilation:", value=4, minimum=1)
+                                mask_blur_a_gui = gr.Number(label="Mask blur:", value=4, minimum=1)
+                                mask_padding_a_gui = gr.Number(label="Mask padding:", value=32, minimum=1)
+
+                        with gr.Accordion("Detailfix B", open=True, visible=True):
+                            # Adetailer B
+                            adetailer_active_b_gui = gr.Checkbox(label="Enable Adetailer B", value=False)
+                            prompt_ad_b_gui = gr.Textbox(label="Main prompt", placeholder="Main prompt will be use", lines=3)
+                            negative_prompt_ad_b_gui = gr.Textbox(label="Negative prompt", placeholder="Main negative prompt will be use", lines=3)
+                            with gr.Row():
+                                strength_ad_b_gui = gr.Number(label="Strength:", value=0.35, step=0.01, minimum=0.01, maximum=1.0)
+                                face_detector_ad_b_gui = gr.Checkbox(label="Face detector", value=True)
+                                person_detector_ad_b_gui = gr.Checkbox(label="Person detector", value=True)
+                                hand_detector_ad_b_gui = gr.Checkbox(label="Hand detector", value=False)
+                            with gr.Row():
+                                mask_dilation_b_gui = gr.Number(label="Mask dilation:", value=4, minimum=1)
+                                mask_blur_b_gui = gr.Number(label="Mask blur:", value=4, minimum=1)
+                                mask_padding_b_gui = gr.Number(label="Mask padding:", value=32, minimum=1)
+                                
+                    with gr.Accordion("Textual inversion", open=False, visible=True) as menu_ti:
+                        active_textual_inversion_gui = gr.Checkbox(value=False, label="Active Textual Inversion in prompt")
+                        use_textual_inversion_gui = gr.CheckboxGroup(choices=get_embed_list(get_model_pipeline(model_name_gui.value)) if active_textual_inversion_gui.value else [], value=None, label="Use Textual Invertion in prompt")
+                        def update_textual_inversion_gui(active_textual_inversion_gui, model_name_gui):
+                            return gr.update(choices=get_embed_list(get_model_pipeline(model_name_gui)) if active_textual_inversion_gui else [])
+                        active_textual_inversion_gui.change(update_textual_inversion_gui, [active_textual_inversion_gui, model_name_gui], [use_textual_inversion_gui])
+                        model_name_gui.change(update_textual_inversion_gui, [active_textual_inversion_gui, model_name_gui], [use_textual_inversion_gui])
+
+                    with gr.Accordion("ControlNet / Img2img / Inpaint", open=False, visible=True) as menu_i2i:
+                        with gr.Row():
+                            image_control = gr.Image(label="Image ControlNet/Inpaint/Img2img", type="filepath")
+                            image_mask_gui = gr.Image(label="Image Mask", type="filepath")
+                        with gr.Row():
+                            strength_gui = gr.Slider(
+                                minimum=0.01, maximum=1.0, step=0.01, value=0.55, label="Strength",
+                                info="This option adjusts the level of changes for img2img and inpainting."
+                            )
+                            image_resolution_gui = gr.Slider(minimum=64, maximum=2048, step=64, value=1024, label="Image Resolution")
+                            preprocessor_name_gui = gr.Dropdown(label="Preprocessor Name", choices=preprocessor_controlnet["canny"], value=preprocessor_controlnet["canny"][0])
+
+                        def change_preprocessor_choices(task):
+                            task = task_stablepy[task]
+                            if task in preprocessor_controlnet.keys():
+                                choices_task = preprocessor_controlnet[task]
+                            else:
+                                choices_task = preprocessor_controlnet["canny"]
+                            return gr.update(choices=choices_task, value=choices_task[0])
+
+                        task_gui.change(
+                            change_preprocessor_choices,
+                            [task_gui],
+                            [preprocessor_name_gui],
+                        )
+                        with gr.Row():
+                            preprocess_resolution_gui = gr.Slider(minimum=64, maximum=2048, step=64, 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)")
+                        with gr.Row():
+                            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("IP-Adapter", open=False, visible=True) as menu_ipa:##############
 
                         IP_MODELS = sorted(list(set(IP_ADAPTERS_SD + IP_ADAPTERS_SDXL)))
                         MODE_IP_OPTIONS = ["original", "style", "layout", "style+layout"]
 
-                        with gr.Accordion("IP-Adapter 1", open=False, visible=True):
-                            image_ip1 = gr.Image(label="IP Image", type="filepath")
-                            mask_ip1 = gr.Image(label="IP Mask", type="filepath")
-                            model_ip1 = gr.Dropdown(value="plus_face", label="Model", choices=IP_MODELS)
-                            mode_ip1 = gr.Dropdown(value="original", label="Mode", choices=MODE_IP_OPTIONS)
+                        with gr.Accordion("IP-Adapter 1", open=True, visible=True):
+                            with gr.Row():
+                                image_ip1 = gr.Image(label="IP Image", type="filepath")
+                                mask_ip1 = gr.Image(label="IP Mask", type="filepath")
+                            with gr.Row():
+                                model_ip1 = gr.Dropdown(value="plus_face", label="Model", choices=IP_MODELS)
+                                mode_ip1 = gr.Dropdown(value="original", label="Mode", choices=MODE_IP_OPTIONS)
                             scale_ip1 = gr.Slider(minimum=0., maximum=2., step=0.01, value=0.7, label="Scale")
-                        with gr.Accordion("IP-Adapter 2", open=False, visible=True):
-                            image_ip2 = gr.Image(label="IP Image", type="filepath")
-                            mask_ip2 = gr.Image(label="IP Mask (optional)", type="filepath")
-                            model_ip2 = gr.Dropdown(value="base", label="Model", choices=IP_MODELS)
-                            mode_ip2 = gr.Dropdown(value="style", label="Mode", choices=MODE_IP_OPTIONS)
+                        with gr.Accordion("IP-Adapter 2", open=True, visible=True):
+                            with gr.Row():
+                                image_ip2 = gr.Image(label="IP Image", type="filepath")
+                                mask_ip2 = gr.Image(label="IP Mask (optional)", type="filepath")
+                            with gr.Row():
+                                model_ip2 = gr.Dropdown(value="base", label="Model", choices=IP_MODELS)
+                                mode_ip2 = gr.Dropdown(value="style", label="Mode", choices=MODE_IP_OPTIONS)
                             scale_ip2 = gr.Slider(minimum=0., maximum=2., step=0.01, value=0.7, label="Scale")
 
                     with gr.Accordion("T2I adapter", open=False, visible=True) as menu_t2i:
                         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.Row():
+                            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) as menu_styles:
 
@@ -1138,57 +1147,12 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", fill_width=True, cs
 
                         style_button.click(load_json_style_file, [style_json_gui], [style_prompt_gui])                        
 
-                    with gr.Accordion("Textual inversion", open=False, visible=True) as menu_ti:
-                        active_textual_inversion_gui = gr.Checkbox(value=False, label="Active Textual Inversion in prompt")
-                        use_textual_inversion_gui = gr.CheckboxGroup(choices=get_embed_list(get_model_pipeline(model_name_gui.value)) if active_textual_inversion_gui.value else [], value=None, label="Use Textual Invertion in prompt")
-                        def update_textual_inversion_gui(active_textual_inversion_gui, model_name_gui):
-                            return gr.update(choices=get_embed_list(get_model_pipeline(model_name_gui)) if active_textual_inversion_gui else [])
-                        active_textual_inversion_gui.change(update_textual_inversion_gui, [active_textual_inversion_gui, model_name_gui], [use_textual_inversion_gui])
-                        model_name_gui.change(update_textual_inversion_gui, [active_textual_inversion_gui, model_name_gui], [use_textual_inversion_gui])
-
-                    with gr.Accordion("Detailfix", open=False, visible=True) as menu_detail:
-
-                        # Adetailer Inpaint Only
-                        adetailer_inpaint_only_gui = gr.Checkbox(label="Inpaint only", value=True)
-
-                        # Adetailer Verbose
-                        adetailer_verbose_gui = gr.Checkbox(label="Verbose", value=False)
-
-                        # 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")
-
-                        with gr.Accordion("Detailfix A", open=False, visible=True):
-                            # Adetailer A
-                            adetailer_active_a_gui = gr.Checkbox(label="Enable Adetailer A", value=False)
-                            prompt_ad_a_gui = gr.Textbox(label="Main prompt", placeholder="Main prompt will be use", lines=3)
-                            negative_prompt_ad_a_gui = gr.Textbox(label="Negative prompt", placeholder="Main negative prompt will be use", lines=3)
-                            strength_ad_a_gui = gr.Number(label="Strength:", value=0.35, step=0.01, minimum=0.01, maximum=1.0)
-                            face_detector_ad_a_gui = gr.Checkbox(label="Face detector", value=True)
-                            person_detector_ad_a_gui = gr.Checkbox(label="Person detector", value=True)
-                            hand_detector_ad_a_gui = gr.Checkbox(label="Hand detector", value=False)
-                            mask_dilation_a_gui = gr.Number(label="Mask dilation:", value=4, minimum=1)
-                            mask_blur_a_gui = gr.Number(label="Mask blur:", value=4, minimum=1)
-                            mask_padding_a_gui = gr.Number(label="Mask padding:", value=32, minimum=1)
-
-                        with gr.Accordion("Detailfix B", open=False, visible=True):
-                            # Adetailer B
-                            adetailer_active_b_gui = gr.Checkbox(label="Enable Adetailer B", value=False)
-                            prompt_ad_b_gui = gr.Textbox(label="Main prompt", placeholder="Main prompt will be use", lines=3)
-                            negative_prompt_ad_b_gui = gr.Textbox(label="Negative prompt", placeholder="Main negative prompt will be use", lines=3)
-                            strength_ad_b_gui = gr.Number(label="Strength:", value=0.35, step=0.01, minimum=0.01, maximum=1.0)
-                            face_detector_ad_b_gui = gr.Checkbox(label="Face detector", value=True)
-                            person_detector_ad_b_gui = gr.Checkbox(label="Person detector", value=True)
-                            hand_detector_ad_b_gui = gr.Checkbox(label="Hand detector", value=False)
-                            mask_dilation_b_gui = gr.Number(label="Mask dilation:", value=4, minimum=1)
-                            mask_blur_b_gui = gr.Number(label="Mask blur:", value=4, minimum=1)
-                            mask_padding_b_gui = gr.Number(label="Mask padding:", value=32, minimum=1)
-
                     with gr.Accordion("Other settings", open=False, visible=True) as menu_other:
-                        image_previews_gui = gr.Checkbox(value=False, label="Image Previews")
-                        hires_before_adetailer_gui = gr.Checkbox(value=False, label="Hires Before Adetailer")
-                        hires_after_adetailer_gui = gr.Checkbox(value=True, label="Hires After Adetailer")
-                        generator_in_cpu_gui = gr.Checkbox(value=False, label="Generator in CPU")
+                        with gr.Row():
+                            image_previews_gui = gr.Checkbox(value=False, label="Image Previews")
+                            hires_before_adetailer_gui = gr.Checkbox(value=False, label="Hires Before Adetailer")
+                            hires_after_adetailer_gui = gr.Checkbox(value=True, label="Hires After Adetailer")
+                            generator_in_cpu_gui = gr.Checkbox(value=False, label="Generator in CPU")
 
                     with gr.Accordion("More settings", open=False, visible=False):
                         loop_generation_gui = gr.Slider(minimum=1, value=1, label="Loop Generation")
@@ -1203,9 +1167,7 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", fill_width=True, cs
                         retain_hires_model_previous_load_gui = gr.Checkbox(value=False, label="Retain Hires Model Previous Load")
                         xformers_memory_efficient_attention_gui = gr.Checkbox(value=False, label="Xformers Memory Efficient Attention")
 
-                with gr.Accordion("Examples and help", open=False, visible=False) as menu_example:
-                    dummy_gui = gr.Checkbox(visible=False, label="dummy")
-                """with gr.Accordion("Examples and help", open=False, visible=True) as menu_example:
+                with gr.Accordion("Examples and help", open=False, visible=True) as menu_example:
                     gr.Examples(
                         examples=[
                             [
@@ -1216,40 +1178,10 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", fill_width=True, cs
                                 7.5,
                                 True,
                                 -1,
-                                None,
-                                1.0,
-                                None,
-                                1.0,
-                                None,
-                                1.0,
-                                None,
-                                1.0,
-                                None,
-                                1.0,
                                 "Euler a",
                                 1152,
                                 896,
                                 "votepurchase/animagine-xl-3.1",
-                                None, # vae
-                                "txt2img",
-                                None, # img conttol
-                                "Canny", # preprocessor
-                                512, # preproc resolution
-                                1024, # img resolution
-                                None, # Style prompt
-                                None, # Style json
-                                None, # img Mask
-                                0.35, # strength
-                                100, # low th canny
-                                200, # high th canny
-                                0.1, # value mstd
-                                0.1, # distance mstd
-                                1.0, # cn scale
-                                0., # cn start
-                                1., # cn end
-                                False, # ti
-                                "Classic",
-                                None,
                             ],
                             [
                                 "solo, princess Zelda OOT, score_9, score_8_up, score_8, medium breasts, cute, eyelashes, cute small face, long hair, crown braid, hairclip, pointy ears, soft curvy body, looking at viewer, smile, blush, white dress, medium body, (((holding the Master Sword))), standing, deep forest in the background",
@@ -1259,40 +1191,10 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", fill_width=True, cs
                                 5.,
                                 True,
                                 -1,
-                                None,
-                                1.0,
-                                None,
-                                1.0,
-                                None,
-                                1.0,
-                                None,
-                                1.0,
-                                None,
-                                1.0,
                                 "Euler a",
                                 1024,
                                 1024,
                                 "votepurchase/ponyDiffusionV6XL",
-                                None, # vae
-                                "txt2img",
-                                None, # img conttol
-                                "Canny", # preprocessor
-                                512, # preproc resolution
-                                1024, # img resolution
-                                None, # Style prompt
-                                None, # Style json
-                                None, # img Mask
-                                0.35, # strength
-                                100, # low th canny
-                                200, # high th canny
-                                0.1, # value mstd
-                                0.1, # distance mstd
-                                1.0, # cn scale
-                                0., # cn start
-                                1., # cn end
-                                False, # ti
-                                "Classic",
-                                None,
                             ],
                             [
                                 "1girl, oomuro sakurako, yuru yuri, official art, school uniform, anime artwork, anime style, vibrant, studio anime, highly detailed, masterpiece, best quality, very aesthetic, absurdres",
@@ -1302,40 +1204,10 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", fill_width=True, cs
                                 7.0,
                                 True,
                                 -1,
-                                None,
-                                1.0,
-                                None,
-                                1.0,
-                                None,
-                                1.0,                        
-                                None,
-                                1.0,
-                                None,
-                                1.0,
                                 "Euler a",
                                 1024,
                                 1024,
                                 "Raelina/Rae-Diffusion-XL-V2",
-                                None, # vae
-                                "txt2img",
-                                None, # img conttol
-                                "Canny", # preprocessor
-                                512, # preproc resolution
-                                1024, # img resolution
-                                None, # Style prompt
-                                None, # Style json
-                                None, # img Mask
-                                0.35, # strength
-                                100, # low th canny
-                                200, # high th canny
-                                0.1, # value mstd
-                                0.1, # distance mstd
-                                1.0, # cn scale
-                                0., # cn start
-                                1., # cn end
-                                False, # ti
-                                "Classic",
-                                None,
                             ],
                             [
                                 "1girl, akaza akari, yuru yuri, official art, anime artwork, anime style, vibrant, studio anime, highly detailed, masterpiece, best quality, very aesthetic, absurdres",
@@ -1345,40 +1217,10 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", fill_width=True, cs
                                 7.0,
                                 True,
                                 -1,
-                                None,
-                                1.0,
-                                None,
-                                1.0,
-                                None,
-                                1.0,                        
-                                None,
-                                1.0,
-                                None,
-                                1.0,
                                 "Euler a",
                                 1024,
                                 1024,
                                 "Raelina/Raemu-XL-V4",
-                                None, # vae
-                                "txt2img",
-                                None, # img conttol
-                                "Canny", # preprocessor
-                                512, # preproc resolution
-                                1024, # img resolution
-                                None, # Style prompt
-                                None, # Style json
-                                None, # img Mask
-                                0.35, # strength
-                                100, # low th canny
-                                200, # high th canny
-                                0.1, # value mstd
-                                0.1, # distance mstd
-                                1.0, # cn scale
-                                0., # cn start
-                                1., # cn end
-                                False, # ti
-                                "Classic",
-                                None,
                             ],
                             [
                                 "yoshida yuuko, machikado mazoku, 1girl, solo, demon horns,horns, school uniform, long hair, open mouth, skirt, demon girl, ahoge, shiny, shiny hair, anime artwork",
@@ -1388,40 +1230,10 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", fill_width=True, cs
                                 7.,
                                 True,
                                 -1,
-                                None,
-                                1.0,
-                                None,
-                                1.0,
-                                None,
-                                1.0,                        
-                                None,
-                                1.0,
-                                None,
-                                1.0,
                                 "Euler a",
                                 1024,
                                 1024,
                                 "votepurchase/animagine-xl-3.1",
-                                None, # vae
-                                "img2img",
-                                "color_image.png", # img conttol
-                                "Canny", # preprocessor
-                                512, # preproc resolution
-                                1024, # img resolution
-                                None, # Style prompt
-                                None, # Style json
-                                None, # img Mask
-                                0.6, # strength
-                                100, # low th canny
-                                200, # high th canny
-                                0.1, # value mstd
-                                0.1, # distance mstd
-                                1.0, # cn scale
-                                0., # cn start
-                                1., # cn end
-                                False, # ti
-                                "Classic",
-                                None,
                             ],
                         ],
                         #fn=sd_gen.generate_pipeline,
@@ -1433,45 +1245,15 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", fill_width=True, cs
                             cfg_gui,
                             clip_skip_gui,
                             seed_gui,
-                            lora1_gui,
-                            lora_scale_1_gui,
-                            lora2_gui,
-                            lora_scale_2_gui,
-                            lora3_gui,
-                            lora_scale_3_gui,
-                            lora4_gui,
-                            lora_scale_4_gui,
-                            lora5_gui,
-                            lora_scale_5_gui,
                             sampler_gui,
                             img_height_gui,
                             img_width_gui,
                             model_name_gui,
-                            vae_model_gui,
-                            task_gui,
-                            image_control,
-                            preprocessor_name_gui,
-                            preprocess_resolution_gui,
-                            image_resolution_gui,
-                            style_prompt_gui,
-                            style_json_gui,
-                            image_mask_gui,
-                            strength_gui,
-                            low_threshold_gui,
-                            high_threshold_gui,
-                            value_threshold_gui,
-                            distance_threshold_gui,
-                            control_net_output_scaling_gui,
-                            control_net_start_threshold_gui,
-                            control_net_stop_threshold_gui,
-                            active_textual_inversion_gui,
-                            prompt_syntax_gui,
-                            upscaler_model_path_gui,
                         ],
                         #outputs=[result_images],
                         cache_examples=False,
                         elem_id="examples",
-                    )"""
+                    )
 ## END MOD
 
         with gr.Tab("Inpaint mask maker", render=True):
@@ -1750,7 +1532,7 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", fill_width=True, cs
             outputs=[result_images, actual_task_info], 
             queue=True,
             show_progress="full",
-        ).success(save_gallery_images, [result_images], [result_images, result_images_files, result_images_files], queue=False)
+        ).success(save_gallery_images, [result_images], [result_images, result_images_files, result_images_files], queue=False, show_api=False)
 
         with gr.Tab("Danbooru Tags Transformer with WD Tagger", render=True):
             with gr.Column(scale=2):

modutils.py

@@ -1,3 +1,4 @@
+import spaces
 import json
 import gradio as gr
 from huggingface_hub import HfApi

requirements.txt

@@ -2,12 +2,10 @@ git+https://github.com/R3gm/stablepy.git@dev2
 torch==2.2.0
 gdown
 opencv-python
-pytorch-lightning
 torchvision
 accelerate
 transformers
 optimum[onnxruntime]
-spaces
 dartrs
 huggingface_hub
 httpx==0.13.3