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app.py

@@ -842,9 +842,10 @@ sd_gen = GuiSD()
 
 ## BEGIN MOD
 CSS ="""
-.contain { display: flex; flex-direction: column; }
-#component-0 { height: 100%; }
-#gallery { flex-grow: 1; }
+.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;}
 """
 ## END MOD
 
@@ -865,7 +866,7 @@ 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", elem_id="main", css=CSS) as app:
+with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", elem_id="main", css=CSS) as app:
     gr.Markdown("# 🧩 DiffuseCraft Mod")
     gr.Markdown(
         f"""
@@ -1111,155 +1112,156 @@ with gr.Blocks(theme="NoCrypt/miku", elem_id="main", css=CSS) as app:
                         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("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)
-                        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)
-                        scale_ip2 = gr.Slider(minimum=0., maximum=2., step=0.01, value=0.7, label="Scale")
-
-                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("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.Accordion("Styles", open=False, visible=True) as menu_styles:
-
-                    try:
-                        style_names_found = sd_gen.model.STYLE_NAMES
-                    except:
-                        style_names_found = STYLE_NAMES
-
-                    style_prompt_gui = gr.Dropdown(
-                        style_names_found,
-                        multiselect=True,
-                        value=None,
-                        label="Style Prompt",
-                        interactive=True,
-                    )
-                    style_json_gui = gr.File(label="Style JSON File")
-                    style_button = gr.Button("Load styles")
-
-                    def load_json_style_file(json):
-                        if not sd_gen.model:
-                            gr.Info("First load the model")
-                            return gr.update(value=None, choices=STYLE_NAMES)
-
-                        sd_gen.model.load_style_file(json)
-                        gr.Info(f"{len(sd_gen.model.STYLE_NAMES)} styles loaded")
-                        return gr.update(value=None, choices=sd_gen.model.STYLE_NAMES)
-
-                    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=True, 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")
-                    retain_task_cache_gui = gr.Checkbox(value=False, label="Retain task model in cache")
-                    leave_progress_bar_gui = gr.Checkbox(value=True, label="Leave Progress Bar")
-                    disable_progress_bar_gui = gr.Checkbox(value=False, label="Disable Progress Bar")
-                    display_images_gui = gr.Checkbox(value=True, label="Display Images")
-                    save_generated_images_gui = gr.Checkbox(value=False, label="Save Generated Images")
-                    image_storage_location_gui = gr.Textbox(value="./images", label="Image Storage Location")
-                    retain_compel_previous_load_gui = gr.Checkbox(value=False, label="Retain Compel Previous Load")
-                    retain_detailfix_model_previous_load_gui = gr.Checkbox(value=False, label="Retain Detailfix Model Previous Load")
-                    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=True, visible=True):
+                with gr.Accordion("Advanced functions", open=False, visible=True) as menu_advanced:
+                    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)
+                            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)
+                            scale_ip2 = gr.Slider(minimum=0., maximum=2., step=0.01, value=0.7, label="Scale")
+
+                    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("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.Accordion("Styles", open=False, visible=True) as menu_styles:
+
+                        try:
+                            style_names_found = sd_gen.model.STYLE_NAMES
+                        except:
+                            style_names_found = STYLE_NAMES
+
+                        style_prompt_gui = gr.Dropdown(
+                            style_names_found,
+                            multiselect=True,
+                            value=None,
+                            label="Style Prompt",
+                            interactive=True,
+                        )
+                        style_json_gui = gr.File(label="Style JSON File")
+                        style_button = gr.Button("Load styles")
+
+                        def load_json_style_file(json):
+                            if not sd_gen.model:
+                                gr.Info("First load the model")
+                                return gr.update(value=None, choices=STYLE_NAMES)
+
+                            sd_gen.model.load_style_file(json)
+                            gr.Info(f"{len(sd_gen.model.STYLE_NAMES)} styles loaded")
+                            return gr.update(value=None, choices=sd_gen.model.STYLE_NAMES)
+
+                        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=True, 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")
+                        retain_task_cache_gui = gr.Checkbox(value=False, label="Retain task model in cache")
+                        leave_progress_bar_gui = gr.Checkbox(value=True, label="Leave Progress Bar")
+                        disable_progress_bar_gui = gr.Checkbox(value=False, label="Disable Progress Bar")
+                        display_images_gui = gr.Checkbox(value=True, label="Display Images")
+                        save_generated_images_gui = gr.Checkbox(value=False, label="Save Generated Images")
+                        image_storage_location_gui = gr.Textbox(value="./images", label="Image Storage Location")
+                        retain_compel_previous_load_gui = gr.Checkbox(value=False, label="Retain Compel Previous Load")
+                        retain_detailfix_model_previous_load_gui = gr.Checkbox(value=False, label="Retain Detailfix Model Previous Load")
+                        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=True) as menu_example:
                     gr.Examples(
                         examples=[
                             [
@@ -1595,8 +1597,8 @@ with gr.Blocks(theme="NoCrypt/miku", elem_id="main", css=CSS) as app:
         interface_mode_gui.change(
             change_interface_mode,
             [interface_mode_gui],
-            [menu_model, menu_from_image, menu_negative, menu_gen, menu_hires, menu_lora, menu_ipa,\
-              menu_i2i, menu_t2i, menu_styles, menu_ti, menu_detail, menu_other, task_gui, quick_speed_gui]
+            [menu_model, menu_from_image, menu_negative, menu_gen, menu_hires, menu_lora, menu_advanced,
+              menu_example, task_gui, quick_speed_gui]
         )
         model_name_gui.change(get_t2i_model_info, [model_name_gui], [model_info_gui])
 
@@ -1644,12 +1646,14 @@ with gr.Blocks(theme="NoCrypt/miku", elem_id="main", css=CSS) as app:
         .success(set_lora_trigger, [lora4_gui], [lora4_trigger_gui, lora4_copy_button, lora4_desc_gui, lora4_gui], scroll_to_output=True)
         lora5_gui.change(set_lora_prompt, [prompt_gui, prompt_syntax_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], [prompt_gui])\
         .success(set_lora_trigger, [lora5_gui], [lora5_trigger_gui, lora5_copy_button, lora5_desc_gui, lora5_gui], scroll_to_output=True)
-        lora_scale_1_gui.change(set_lora_prompt, [prompt_gui, prompt_syntax_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], [prompt_gui])
-        lora_scale_2_gui.change(set_lora_prompt, [prompt_gui, prompt_syntax_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], [prompt_gui])
-        lora_scale_3_gui.change(set_lora_prompt, [prompt_gui, prompt_syntax_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], [prompt_gui])
-        lora_scale_4_gui.change(set_lora_prompt, [prompt_gui, prompt_syntax_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], [prompt_gui])
-        lora_scale_5_gui.change(set_lora_prompt, [prompt_gui, prompt_syntax_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], [prompt_gui])
-        prompt_syntax_gui.change(set_lora_prompt, [prompt_gui, prompt_syntax_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], [prompt_gui])
+        gr.on(
+            triggers=[lora_scale_1_gui.change, lora_scale_2_gui.change, lora_scale_3_gui.change,\
+                       lora_scale_4_gui.change, lora_scale_5_gui.change, prompt_syntax_gui.change],
+            fn=set_lora_prompt,
+            inputs=[prompt_gui, prompt_syntax_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],
+            outputs=[prompt_gui],
+        )
         lora1_copy_button.click(apply_lora_prompt, [prompt_gui, lora1_trigger_gui], [prompt_gui])
         lora2_copy_button.click(apply_lora_prompt, [prompt_gui, lora2_trigger_gui], [prompt_gui])
         lora3_copy_button.click(apply_lora_prompt, [prompt_gui, lora3_trigger_gui], [prompt_gui])
@@ -1665,18 +1669,14 @@ with gr.Blocks(theme="NoCrypt/miku", elem_id="main", css=CSS) as app:
         search_civitai_result_lora.change(select_civitai_lora, [search_civitai_result_lora], [text_lora, search_civitai_desc_lora], scroll_to_output=True)
         button_lora.click(get_my_lora, [text_lora], [lora1_gui, lora2_gui, lora3_gui, lora4_gui, lora5_gui], scroll_to_output=True)
         upload_button_lora.upload(upload_file_lora, [upload_button_lora], [file_output_lora, upload_button_lora]).success(
-            move_file_lora,
-            [file_output_lora],
-            [lora1_gui, lora2_gui, lora3_gui, lora4_gui, lora5_gui],
-            scroll_to_output=True,
-        )
+            move_file_lora, [file_output_lora], [lora1_gui, lora2_gui, lora3_gui, lora4_gui, lora5_gui], scroll_to_output=True)
 
         use_textual_inversion_gui.change(set_textual_inversion_prompt, [use_textual_inversion_gui, prompt_gui, neg_prompt_gui, prompt_syntax_gui], [prompt_gui, neg_prompt_gui])
 
         generate_from_image_btn_gui.click(
             predict_tags_wd,
             [input_image_gui, prompt_gui, image_algorithms, general_threshold_gui, character_threshold_gui],
-            [series_dbt, character_dbt, prompt_gui, copy_button_dbt,],
+            [series_dbt, character_dbt, prompt_gui, copy_button_dbt],
         ).success(
             compose_prompt_to_copy, [character_dbt, series_dbt, prompt_gui], [prompt_gui]
         ).success(
@@ -1687,17 +1687,8 @@ with gr.Blocks(theme="NoCrypt/miku", elem_id="main", css=CSS) as app:
             insert_recom_prompt, [prompt_gui, neg_prompt_gui, recom_prompt_gui], [prompt_gui, neg_prompt_gui],
         )
 
-        v2b.input_components = [
-            model_name_dbt,
-            series_dbt,
-            character_dbt,
-            prompt_gui,
-            rating_dbt,
-            aspect_ratio_dbt,
-            length_dbt,
-            identity_dbt,
-            ban_tags_dbt,
-        ]
+        v2b.input_components = [model_name_dbt, series_dbt, character_dbt, prompt_gui,
+            rating_dbt, aspect_ratio_dbt, length_dbt, identity_dbt, ban_tags_dbt]
         
         insert_prompt_gui.change(
             process_style_prompt,
@@ -1883,17 +1874,8 @@ with gr.Blocks(theme="NoCrypt/miku", elem_id="main", css=CSS) as app:
 
                 description_ui()
 
-        v2.input_components = [
-            model_name,
-            input_copyright,
-            input_character,
-            input_general,
-            input_rating,
-            input_aspect_ratio,
-            input_length,
-            input_identity,
-            input_ban_tags,
-        ]
+        v2.input_components = [model_name, input_copyright, input_character, input_general,
+            input_rating, input_aspect_ratio, input_length, input_identity, input_ban_tags]
 
         translate_input_prompt_button.click(translate_prompt, inputs=[input_general], outputs=[input_general])
         translate_input_prompt_button.click(translate_prompt, inputs=[input_character], outputs=[input_character])
@@ -1910,9 +1892,8 @@ with gr.Blocks(theme="NoCrypt/miku", elem_id="main", css=CSS) as app:
         ).success(
             insert_recom_prompt, inputs=[input_general, dummy_np, recom_prompt], outputs=[input_general, dummy_np],
         )
-        copy_input_btn.click(compose_prompt_to_copy, inputs=[input_character, input_copyright, input_general], outputs=[input_tags_to_copy]).then(
-            gradio_copy_text, inputs=[input_tags_to_copy], js=COPY_ACTION_JS,
-        )
+        copy_input_btn.click(compose_prompt_to_copy, inputs=[input_character, input_copyright, input_general], outputs=[input_tags_to_copy])\
+            .success(gradio_copy_text, inputs=[input_tags_to_copy], js=COPY_ACTION_JS)
 
         pick_random_character.click(select_random_character, [input_copyright, input_character], [input_copyright, input_character])
 

lora_dict.json

@@ -209,6 +209,13 @@
     "https://civitai.com/models/325531",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/187ad035-b560-4caf-8287-c3ea7f658d2b/width=450/16498861.jpeg"
   ],
+  "Backtits-PonyXL-v0_7": [
+    "breasts apart / breast gap / cleavage",
+    "Pony",
+    "Lying Back Breast-Morph / Backtits - PONY",
+    "https://civitai.com/models/483381",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9b8d0a91-22a5-4380-9066-470f82124de5/width=450/18326439.jpeg"
+  ],
   "BallsTesticles_sucking_LoRa__PonyXL": [
     "testicle sucking, testicles, penis / testicles in mouth",
     "Pony",
@@ -314,6 +321,20 @@
     "https://civitai.com/models/539254",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f1a04fff-620a-4ff5-bb24-caaac08f94f0/width=450/17282530.jpeg"
   ],
+  "Competitive_Swimsuit_XL_V1_0": [
+    "competitive swimsuit",
+    "SDXL 1.0",
+    "\u7af6\u6cf3\u6c34\u7740/competitive swimsuit",
+    "https://civitai.com/models/552104",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cb7f232a-05e2-43cd-aaae-b71408a12f12/width=450/18275491.jpeg"
+  ],
+  "Competitive_Swimsuit_pony_V1_0": [
+    "competitive swimsuit",
+    "Pony",
+    "\u7af6\u6cf3\u6c34\u7740/competitive swimsuit",
+    "https://civitai.com/models/552104",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fa5140b3-5335-47fc-bea2-9edd4d1a53c9/width=450/18131620.jpeg"
+  ],
   "Concept_2_dicks_1_mouth_double_barrel_blowjob": [
     "2dicks1mouth, double barrel blowjob, multiple penises, fellatio, blowjob",
     "Pony",
@@ -482,6 +503,13 @@
     "https://civitai.com/models/554308",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7aadace1-0159-4ef9-bb6e-09602ead9e29/width=450/18303807.jpeg"
   ],
+  "Fundoshi_x_Pubic_Hair-000002": [
+    "hairy_fundoshi",
+    "Pony",
+    "Fundoshi x Pubic Hair",
+    "https://civitai.com/models/554770",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4ca0fb31-a8c1-48a2-b688-ab9c8e42f885/width=450/18319217.jpeg"
+  ],
   "GachamiHoYoXL_ANI31_lokr_V42310": [
     "grey background, [:your tags here:2]",
     "SDXL 1.0",
@@ -727,6 +755,13 @@
     "https://civitai.com/models/537044",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/21cb499b-78e0-4099-94ac-c6ecc8d6765b/width=450/17146842.jpeg"
   ],
+  "Just_The_Tip_XL": [
+    "1woman, imminent_penetration,, just_the_tip, uncensored pussy, anus, 1boy, large penis, JTT / imminent vaginal, imminent_vaginal, penis on pussy, penis_on_pussy / imminent anal, imminent_anal, penis on anus, penis_on_anus / imminent_penetration:1.2, just the tip:1.2, just_the_tip:1.2, ",
+    "Pony",
+    "Just_The_Tip_XL",
+    "https://civitai.com/models/537044",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4d08fbef-40ea-4016-9bf3-54e51ce6c1a9/width=450/18366359.jpeg"
+  ],
   "KabedompovPonyXL": [
     "kabedon / pov hands",
     "Pony",
@@ -1091,6 +1126,13 @@
     "https://civitai.com/models/392579",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/fd660261-765f-4ed2-af92-810a9587bfc6/width=450/11300400.jpeg"
   ],
+  "STTLPony": [
+    "sttldunf  star trek black and red uniform / sttldunf  star trek black and blue uniform / sttldunf  star trek black and yellow uniform / black pants",
+    "Pony",
+    "Star Trek Lower Decks uniforms (pony)",
+    "https://civitai.com/models/554864",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6db35bb0-1019-4e36-bc72-0692e6f33a76/width=450/18317576.jpeg"
+  ],
   "Sailor_Swimsuit_PONY": [
     "ssswimsuit /  highleg, one-piece swimsuit, sailor swimsuit, sailor collar",
     "Pony",
@@ -1469,6 +1511,13 @@
     "https://civitai.com/models/528284",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4ab90a51-eeb2-4caa-b562-4ca7ef86c3eb/width=450/16543700.jpeg"
   ],
+  "_sdxl-sasayaki-pony": [
+    "sasayaki / sasayaki pov",
+    "Pony",
+    "for PONY, ASMR-like? part where whispering in ear. (ASMR\u7684\u306a\uff1f\u8033\u6253\u3061\u3057\u3066\u3044\u308b\u3068\u3053\u308d) LoRA",
+    "https://civitai.com/models/555199",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1e486aae-2320-45fd-8e84-40bc901e928e/width=450/18336321.jpeg"
+  ],
   "_sdxl-transchool-pony": [
     "transchool",
     "Pony",
@@ -2260,6 +2309,20 @@
     "https://civitai.com/models/48999",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/bdb3fb3d-0b58-4f64-c355-d5a92cd1a900/width=450/579582.jpeg"
   ],
+  "fsn_style_pony": [
+    "fsn_style",
+    "Pony",
+    "Fate Series Anime Style LoRA (Pony)",
+    "https://civitai.com/models/429069",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/706692ff-2c37-4e7d-a229-a8c6c1ffa049/width=450/18314194.jpeg"
+  ],
+  "fsn_ubw_style_pony": [
+    "fsn_ubw_style",
+    "Pony",
+    "Fate Series Anime Style LoRA (Pony)",
+    "https://civitai.com/models/429069",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/99b4c136-9d58-4a6e-87ae-5429aeb5a0bd/width=450/11205806.jpeg"
+  ],
   "full_encasement": [
     "encasement / in container / fetal position",
     "Pony",
@@ -4017,6 +4080,13 @@
     "https://civitai.com/models/537445",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ad654bb6-4edb-43a0-84ba-44e5cd96d12b/width=450/17342314.jpeg"
   ],
+  "tongue_around_penis": [
+    "tongue_around_penis, licking penis, ",
+    "Pony",
+    "Hentai Emporium - NSFW Warning",
+    "https://civitai.com/models/466594",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/da3e10ca-2e5a-4328-a593-cc279db10dc2/width=450/18313889.jpeg"
+  ],
   "tongue_in_foreskin_XL_CAME_3": [
     "foreskinlicsolo, 1girl, 1boy, hetero, penis, oral, licking penis,arms behind back / foreskinpullik, 1girl, penis, 1boy, tongue, oral, hetero, fellatio, tongue out, licking penis, licking,pov, solo focus, foreskin,holding / doubforeskinlic, ,2girls,licking,tongue, tongue out,pov,huge penis,foreskin",
     "Pony",
@@ -4108,6 +4178,20 @@
     "https://civitai.com/models/292024",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/381c91b8-5f2d-4f6e-9416-fc76beab210b/width=450/7299766.jpeg"
   ],
+  "under_the_table_blowjob": [
+    "under_the_table_blowjob",
+    "Pony",
+    "Hentai Emporium - NSFW Warning",
+    "https://civitai.com/models/466594",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/88bd026f-0360-45ef-9c30-b867640ab7fe/width=450/16917567.jpeg"
+  ],
+  "under_the_table_peek": [
+    "under_the_table_peak",
+    "Pony",
+    "Hentai Emporium - NSFW Warning",
+    "https://civitai.com/models/466594",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5d30ac4a-1cef-4a57-8d63-595877f16e92/width=450/16917119.jpeg"
+  ],
   "underanglexl16": [
     " from below,shoes,delicate detailed eyes",
     "SDXL 1.0",
@@ -4185,6 +4269,13 @@
     "https://civitai.com/models/312746",
     "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0c1c723e-a888-4058-81d8-1f3b9868d1c7/width=450/6830824.jpeg"
   ],
+  "wadingpool_XL_v1": [
+    "wading pool",
+    "SDXL 1.0",
+    "wading pool / \u30d3\u30cb\u30fc\u30eb\u30d7\u30fc\u30eb / \u5b50\u4f9b\u7528\u30d7\u30fc\u30eb",
+    "https://civitai.com/models/555170",
+    "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d15c55f6-0fa8-4a6f-8ba8-be1ab703a2fe/width=450/18333780.jpeg"
+  ],
   "wallsex": [
     "wallsex / against wall / breast press",
     "Pony",

modutils.py

@@ -21,24 +21,20 @@ def get_user_agent():
 def change_interface_mode(mode: str):
     if mode == "Fast":
         return gr.update(open=False), gr.update(visible=True), gr.update(open=False), gr.update(open=False),\
-        gr.update(visible=True), gr.update(open=False), gr.update(visible=True), gr.update(visible=True),\
-        gr.update(visible=True), gr.update(visible=True), gr.update(visible=True), gr.update(visible=True),\
-        gr.update(visible=True), gr.update(visible=True), gr.update(value="Fast")
+        gr.update(visible=True), gr.update(open=False), gr.update(visible=True), gr.update(open=False),\
+        gr.update(visible=True), gr.update(value="Fast")
     elif mode == "Simple": # t2i mode
-        return gr.update(open=True), gr.update(visible=True), gr.update(open=True), gr.update(open=True),\
-        gr.update(visible=True), gr.update(open=False), gr.update(visible=False), gr.update(visible=False),\
-        gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False),\
-        gr.update(visible=False), gr.update(visible=False), gr.update(value="Standard")
+        return gr.update(open=True), gr.update(visible=True), gr.update(open=False), gr.update(open=False),\
+        gr.update(visible=True), gr.update(open=False), gr.update(visible=False), gr.update(open=True),\
+        gr.update(visible=False), gr.update(value="Standard")
     elif mode == "LoRA": # t2i LoRA  mode
         return gr.update(open=True), gr.update(visible=True), gr.update(open=True), gr.update(open=False),\
-        gr.update(visible=True), gr.update(open=True), gr.update(visible=True), gr.update(visible=True),\
-        gr.update(visible=True), gr.update(visible=True), gr.update(visible=True), gr.update(visible=True),\
-        gr.update(visible=True), gr.update(visible=False), gr.update(value="Standard")
+        gr.update(visible=True), gr.update(open=True), gr.update(visible=True), gr.update(open=False),\
+        gr.update(visible=False), gr.update(value="Standard")
     else: # Standard
         return gr.update(open=False), gr.update(visible=True), gr.update(open=False), gr.update(open=False),\
-        gr.update(visible=True), gr.update(open=False), gr.update(visible=True), gr.update(visible=True),\
-        gr.update(visible=True), gr.update(visible=True), gr.update(visible=True), gr.update(visible=True),\
-        gr.update(visible=True), gr.update(visible=True), gr.update(value="Standard")
+        gr.update(visible=True), gr.update(open=False), gr.update(visible=True), gr.update(open=False),\
+        gr.update(visible=True), gr.update(value="Standard")
 
 
 def get_model_list(directory_path):
@@ -250,8 +246,8 @@ def save_gallery_images(images):
 
 
 optimization_list = {
-    "None": [28, 7., 'Euler a', False, None, 1.],
-    "Default": [28, 7., 'Euler a', False, None, 1.],
+    "None": [28, 7., 'Euler a', False, 'None', 1.],
+    "Default": [28, 7., 'Euler a', False, 'None', 1.],
     "SPO": [28, 7., 'Euler a', True, 'loras/spo_sdxl_10ep_4k-data_lora_diffusers.safetensors', 1.],
     "DPO": [28, 7., 'Euler a', True, 'loras/sdxl-DPO-LoRA.safetensors', 1.],
     "DPO Turbo": [8, 2.5, 'LCM', True, 'loras/sd_xl_dpo_turbo_lora_v1-128dim.safetensors', 1.],
@@ -411,8 +407,8 @@ def get_lora_tupled_list(lora_model_list):
 
 def set_lora_trigger(lora_gui: str):
     from pathlib import Path
-    if lora_gui == None: return gr.update(value="", visible=False), gr.update(visible=False),\
-          gr.update(value="", visible=False), gr.update(value="", visible=True)
+    if not lora_gui or lora_gui == "None": return gr.update(value="", visible=False), gr.update(visible=False),\
+          gr.update(value="", visible=False), gr.update(value="None", visible=True)
     path = Path(lora_gui)
     new_path = Path(f'{path.parent.name}/{escape_lora_basename(path.stem)}{path.suffix}')
     if not new_path.stem in lora_trigger_dict.keys() and not str(path) in set(get_private_lora_model_lists() + get_model_list(directory_loras)):
@@ -867,7 +863,6 @@ def get_model_pipeline(repo_id: str):
         return default
     else:
         if model.private or model.gated: return default
-
         tags = model.tags
         if not 'diffusers' in tags: return default
         if 'diffusers:StableDiffusionXLPipeline' in tags: