clear prompt button now works on both relevant tabs. Device detection stuff will be added later.
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@ -151,6 +151,34 @@ function ask_for_style_name(_, prompt_text, negative_prompt_text) {
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return [name_, prompt_text, negative_prompt_text]
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}
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// returns css id for currently selected tab in ui
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function selected_tab_id() {
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tabs = gradioApp().querySelectorAll('#tabs div.tabitem')
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for(var tab = 0; tab < tabs.length; tab++) {
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if (tabs[tab].style.display != "none") return tabs[tab].id
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}
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}
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function trash_prompt(_,_, is_img2img) {
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if(selected_tab_id() == "tab_txt2img") {
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pos_prompt = txt2img_textarea = gradioApp().querySelector("#txt2img_prompt > label > textarea");
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neg_prompt = txt2img_textarea = gradioApp().querySelector("#txt2img_neg_prompt > label > textarea");
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pos_prompt.value = ""
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neg_prompt.value = ""
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} else {
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pos_prompt = txt2img_textarea = gradioApp().querySelector("#img2img_prompt > label > textarea");
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neg_prompt = txt2img_textarea = gradioApp().querySelector("#img2img_neg_prompt > label > textarea");
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pos_prompt.value = ""
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neg_prompt.value = ""
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}
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}
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opts = {}
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@ -424,6 +424,16 @@ def create_seed_inputs():
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return seed, reuse_seed, subseed, reuse_subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w, seed_checkbox
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# setup button for clearing prompt input boxes on client side of webui
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def connect_trash_prompt(dummy_component, button, is_img2img):
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button.click(
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fn=lambda: print("Clearing prompt"),
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_js="trash_prompt",
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inputs=[],
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outputs=[],
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)
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def connect_reuse_seed(seed: gr.Number, reuse_seed: gr.Button, generation_info: gr.Textbox, dummy_component, is_subseed):
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""" Connects a 'reuse (sub)seed' button's click event so that it copies last used
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(sub)seed value from generation info the to the seed field. If copying subseed and subseed strength
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@ -540,7 +550,7 @@ def create_toprow(is_img2img):
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prompt_style2 = gr.Dropdown(label="Style 2", elem_id=f"{id_part}_style2_index", choices=[k for k, v in shared.prompt_styles.styles.items()], value=next(iter(shared.prompt_styles.styles.keys())))
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prompt_style2.save_to_config = True
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return prompt, roll, prompt_style, negative_prompt, prompt_style2, submit, button_interrogate, button_deepbooru, prompt_style_apply, save_style, paste, token_counter, token_button
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return prompt, roll, prompt_style, negative_prompt, prompt_style2, submit, button_interrogate, button_deepbooru, prompt_style_apply, save_style, paste, token_counter, token_button, trash_prompt
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def setup_progressbar(progressbar, preview, id_part, textinfo=None):
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@ -619,10 +629,11 @@ def create_ui(wrap_gradio_gpu_call):
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with gr.Blocks(analytics_enabled=False) as txt2img_interface:
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txt2img_prompt, roll, txt2img_prompt_style, txt2img_negative_prompt, txt2img_prompt_style2, submit, _, _,\
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txt2img_prompt_style_apply, txt2img_save_style, txt2img_paste, token_counter,\
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token_button = create_toprow(is_img2img=False)
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token_button, trash_prompt_button = create_toprow(is_img2img=False)
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dummy_component = gr.Label(visible=False)
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txt_prompt_img = gr.File(label="", elem_id="txt2img_prompt_image", file_count="single", type="bytes", visible=False)
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connect_trash_prompt(dummy_component, trash_prompt_button, False)
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with gr.Row(elem_id='txt2img_progress_row'):
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with gr.Column(scale=1):
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@ -807,7 +818,11 @@ def create_ui(wrap_gradio_gpu_call):
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token_button.click(fn=update_token_counter, inputs=[txt2img_prompt, steps], outputs=[token_counter])
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with gr.Blocks(analytics_enabled=False) as img2img_interface:
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img2img_prompt, roll, img2img_prompt_style, img2img_negative_prompt, img2img_prompt_style2, submit, img2img_interrogate, img2img_deepbooru, img2img_prompt_style_apply, img2img_save_style, img2img_paste, token_counter, token_button = create_toprow(is_img2img=True)
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img2img_prompt, roll, img2img_prompt_style, img2img_negative_prompt, img2img_prompt_style2, submit,\
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img2img_interrogate, img2img_deepbooru, img2img_prompt_style_apply, img2img_save_style, img2img_paste,\
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token_counter, token_button, trash_prompt_button = create_toprow(is_img2img=True)
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connect_trash_prompt(dummy_component,trash_prompt_button, True)
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with gr.Row(elem_id='img2img_progress_row'):
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img2img_prompt_img = gr.File(label="", elem_id="img2img_prompt_image", file_count="single", type="bytes", visible=False)
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