Merge remote-tracking branch 'origin/master'
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commit
0a435f0988
3 changed files with 39 additions and 16 deletions
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@ -199,12 +199,18 @@ let txt2img_textarea, img2img_textarea = undefined;
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let wait_time = 800
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let token_timeout;
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function submit_prompt(event, generate_button_id) {
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if (event.altKey && event.keyCode === 13) {
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event.preventDefault();
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gradioApp().getElementById(generate_button_id).click();
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return;
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}
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function update_txt2img_tokens(...args) {
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update_token_counter("txt2img_token_button")
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if (args.length == 2)
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return args[0]
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return args;
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}
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function update_img2img_tokens(...args) {
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update_token_counter("img2img_token_button")
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if (args.length == 2)
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return args[0]
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return args;
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}
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function update_token_counter(button_id) {
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@ -212,3 +218,10 @@ function update_token_counter(button_id) {
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clearTimeout(token_timeout);
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token_timeout = setTimeout(() => gradioApp().getElementById(button_id)?.click(), wait_time);
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}
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function submit_prompt(event, generate_button_id) {
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if (event.altKey && event.keyCode === 13) {
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event.preventDefault();
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gradioApp().getElementById(generate_button_id).click();
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return;
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}
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}
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@ -73,8 +73,8 @@ def fix_model_layers(crt_model, pretrained_net):
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class UpscalerESRGAN(Upscaler):
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def __init__(self, dirname):
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self.name = "ESRGAN"
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self.model_url = "https://drive.google.com/u/0/uc?id=1TPrz5QKd8DHHt1k8SRtm6tMiPjz_Qene&export=download"
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self.model_name = "ESRGAN 4x"
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self.model_url = "https://github.com/cszn/KAIR/releases/download/v1.0/ESRGAN.pth"
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self.model_name = "ESRGAN_4x"
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self.scalers = []
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self.user_path = dirname
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self.model_path = os.path.join(models_path, self.name)
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@ -11,6 +11,7 @@ import time
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import traceback
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import platform
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import subprocess as sp
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from functools import reduce
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import numpy as np
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import torch
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@ -33,6 +34,7 @@ import modules.gfpgan_model
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import modules.codeformer_model
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import modules.styles
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import modules.generation_parameters_copypaste
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from modules.prompt_parser import get_learned_conditioning_prompt_schedules
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from modules.images import apply_filename_pattern, get_next_sequence_number
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import modules.textual_inversion.ui
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@ -384,8 +386,11 @@ def connect_reuse_seed(seed: gr.Number, reuse_seed: gr.Button, generation_info:
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outputs=[seed, dummy_component]
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)
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def update_token_counter(text):
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tokens, token_count, max_length = model_hijack.tokenize(text)
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def update_token_counter(text, steps):
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prompt_schedules = get_learned_conditioning_prompt_schedules([text], steps)
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flat_prompts = reduce(lambda list1, list2: list1+list2, prompt_schedules)
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prompts = [prompt_text for step,prompt_text in flat_prompts]
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tokens, token_count, max_length = max([model_hijack.tokenize(prompt) for prompt in prompts], key=lambda args: args[1])
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style_class = ' class="red"' if (token_count > max_length) else ""
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return f"<span {style_class}>{token_count}/{max_length}</span>"
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@ -403,8 +408,7 @@ def create_toprow(is_img2img):
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roll = gr.Button(value=art_symbol, elem_id="roll", visible=len(shared.artist_db.artists) > 0)
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paste = gr.Button(value=paste_symbol, elem_id="paste")
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token_counter = gr.HTML(value="<span></span>", elem_id=f"{id_part}_token_counter")
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hidden_button = gr.Button(visible=False, elem_id=f"{id_part}_token_button")
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hidden_button.click(fn=update_token_counter, inputs=[prompt], outputs=[token_counter])
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token_button = gr.Button(visible=False, elem_id=f"{id_part}_token_button")
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with gr.Column(scale=10, elem_id="style_pos_col"):
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prompt_style = gr.Dropdown(label="Style 1", elem_id=f"{id_part}_style_index", choices=[k for k, v in shared.prompt_styles.styles.items()], value=next(iter(shared.prompt_styles.styles.keys())), visible=len(shared.prompt_styles.styles) > 1)
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@ -435,7 +439,7 @@ def create_toprow(is_img2img):
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prompt_style_apply = gr.Button('Apply style', elem_id="style_apply")
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save_style = gr.Button('Create style', elem_id="style_create")
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return prompt, roll, prompt_style, negative_prompt, prompt_style2, submit, interrogate, prompt_style_apply, save_style, paste
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return prompt, roll, prompt_style, negative_prompt, prompt_style2, submit, interrogate, prompt_style_apply, save_style, paste, token_counter, token_button
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def setup_progressbar(progressbar, preview, id_part, textinfo=None):
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@ -464,7 +468,7 @@ def create_ui(wrap_gradio_gpu_call):
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import modules.txt2img
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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, _, txt2img_prompt_style_apply, txt2img_save_style, paste = create_toprow(is_img2img=False)
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txt2img_prompt, roll, txt2img_prompt_style, txt2img_negative_prompt, txt2img_prompt_style2, submit, _, txt2img_prompt_style_apply, txt2img_save_style, paste, token_counter, token_button = create_toprow(is_img2img=False)
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dummy_component = gr.Label(visible=False)
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with gr.Row(elem_id='txt2img_progress_row'):
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@ -584,6 +588,7 @@ def create_ui(wrap_gradio_gpu_call):
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roll.click(
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fn=roll_artist,
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_js="update_txt2img_tokens",
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inputs=[
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txt2img_prompt,
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],
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@ -612,9 +617,10 @@ def create_ui(wrap_gradio_gpu_call):
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(hr_options, lambda d: gr.Row.update(visible="Denoising strength" in d)),
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]
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modules.generation_parameters_copypaste.connect_paste(paste, txt2img_paste_fields, txt2img_prompt)
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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_prompt_style_apply, img2img_save_style, paste = create_toprow(is_img2img=True)
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img2img_prompt, roll, img2img_prompt_style, img2img_negative_prompt, img2img_prompt_style2, submit, img2img_interrogate, img2img_prompt_style_apply, img2img_save_style, paste, token_counter, token_button = create_toprow(is_img2img=True)
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with gr.Row(elem_id='img2img_progress_row'):
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with gr.Column(scale=1):
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@ -788,6 +794,7 @@ def create_ui(wrap_gradio_gpu_call):
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roll.click(
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fn=roll_artist,
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_js="update_img2img_tokens",
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inputs=[
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img2img_prompt,
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],
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@ -798,6 +805,7 @@ def create_ui(wrap_gradio_gpu_call):
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prompts = [(txt2img_prompt, txt2img_negative_prompt), (img2img_prompt, img2img_negative_prompt)]
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style_dropdowns = [(txt2img_prompt_style, txt2img_prompt_style2), (img2img_prompt_style, img2img_prompt_style2)]
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style_js_funcs = ["update_txt2img_tokens", "update_img2img_tokens"]
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for button, (prompt, negative_prompt) in zip([txt2img_save_style, img2img_save_style], prompts):
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button.click(
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@ -809,9 +817,10 @@ def create_ui(wrap_gradio_gpu_call):
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outputs=[txt2img_prompt_style, img2img_prompt_style, txt2img_prompt_style2, img2img_prompt_style2],
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)
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for button, (prompt, negative_prompt), (style1, style2) in zip([txt2img_prompt_style_apply, img2img_prompt_style_apply], prompts, style_dropdowns):
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for button, (prompt, negative_prompt), (style1, style2), js_func in zip([txt2img_prompt_style_apply, img2img_prompt_style_apply], prompts, style_dropdowns, style_js_funcs):
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button.click(
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fn=apply_styles,
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_js=js_func,
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inputs=[prompt, negative_prompt, style1, style2],
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outputs=[prompt, negative_prompt, style1, style2],
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)
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@ -834,6 +843,7 @@ def create_ui(wrap_gradio_gpu_call):
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(denoising_strength, "Denoising strength"),
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]
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modules.generation_parameters_copypaste.connect_paste(paste, img2img_paste_fields, img2img_prompt)
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token_button.click(fn=update_token_counter, inputs=[img2img_prompt, steps], outputs=[token_counter])
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with gr.Blocks(analytics_enabled=False) as extras_interface:
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with gr.Row().style(equal_height=False):
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