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Merge remote-tracking branch 'origin/master'

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AUTOMATIC 2022-10-02 21:21:10 +03:00
commit 0a435f0988
3 changed files with 39 additions and 16 deletions
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25
javascript/ui.js
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@ -199,12 +199,18 @@ let txt2img_textarea, img2img_textarea = undefined;
let wait_time = 800
let token_timeout;
function submit_prompt(event, generate_button_id) {
if (event.altKey && event.keyCode === 13) {
event.preventDefault();
gradioApp().getElementById(generate_button_id).click();
return;
}
function update_txt2img_tokens(...args) {
update_token_counter("txt2img_token_button")
if (args.length == 2)
return args[0]
return args;
}
function update_img2img_tokens(...args) {
update_token_counter("img2img_token_button")
if (args.length == 2)
return args[0]
return args;
}
function update_token_counter(button_id) {
@ -212,3 +218,10 @@ function update_token_counter(button_id) {
clearTimeout(token_timeout);
token_timeout = setTimeout(() => gradioApp().getElementById(button_id)?.click(), wait_time);
}
function submit_prompt(event, generate_button_id) {
if (event.altKey && event.keyCode === 13) {
event.preventDefault();
gradioApp().getElementById(generate_button_id).click();
return;
}
}

4
modules/esrgan_model.py
View File

@ -73,8 +73,8 @@ def fix_model_layers(crt_model, pretrained_net):
class UpscalerESRGAN(Upscaler):
def __init__(self, dirname):
self.name = "ESRGAN"
self.model_url = "https://drive.google.com/u/0/uc?id=1TPrz5QKd8DHHt1k8SRtm6tMiPjz_Qene&export=download"
self.model_name = "ESRGAN 4x"
self.model_url = "https://github.com/cszn/KAIR/releases/download/v1.0/ESRGAN.pth"
self.model_name = "ESRGAN_4x"
self.scalers = []
self.user_path = dirname
self.model_path = os.path.join(models_path, self.name)

26
modules/ui.py
View File

@ -11,6 +11,7 @@ import time
import traceback
import platform
import subprocess as sp
from functools import reduce
import numpy as np
import torch
@ -33,6 +34,7 @@ import modules.gfpgan_model
import modules.codeformer_model
import modules.styles
import modules.generation_parameters_copypaste
from modules.prompt_parser import get_learned_conditioning_prompt_schedules
from modules.images import apply_filename_pattern, get_next_sequence_number
import modules.textual_inversion.ui
@ -384,8 +386,11 @@ def connect_reuse_seed(seed: gr.Number, reuse_seed: gr.Button, generation_info:
outputs=[seed, dummy_component]
)
def update_token_counter(text):
tokens, token_count, max_length = model_hijack.tokenize(text)
def update_token_counter(text, steps):
prompt_schedules = get_learned_conditioning_prompt_schedules([text], steps)
flat_prompts = reduce(lambda list1, list2: list1+list2, prompt_schedules)
prompts = [prompt_text for step,prompt_text in flat_prompts]
tokens, token_count, max_length = max([model_hijack.tokenize(prompt) for prompt in prompts], key=lambda args: args[1])
style_class = ' class="red"' if (token_count > max_length) else ""
return f"<span {style_class}>{token_count}/{max_length}</span>"
@ -403,8 +408,7 @@ def create_toprow(is_img2img):
roll = gr.Button(value=art_symbol, elem_id="roll", visible=len(shared.artist_db.artists) > 0)
paste = gr.Button(value=paste_symbol, elem_id="paste")
token_counter = gr.HTML(value="<span></span>", elem_id=f"{id_part}_token_counter")
hidden_button = gr.Button(visible=False, elem_id=f"{id_part}_token_button")
hidden_button.click(fn=update_token_counter, inputs=[prompt], outputs=[token_counter])
token_button = gr.Button(visible=False, elem_id=f"{id_part}_token_button")
with gr.Column(scale=10, elem_id="style_pos_col"):
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)
@ -435,7 +439,7 @@ def create_toprow(is_img2img):
prompt_style_apply = gr.Button('Apply style', elem_id="style_apply")
save_style = gr.Button('Create style', elem_id="style_create")
return prompt, roll, prompt_style, negative_prompt, prompt_style2, submit, interrogate, prompt_style_apply, save_style, paste
return prompt, roll, prompt_style, negative_prompt, prompt_style2, submit, interrogate, prompt_style_apply, save_style, paste, token_counter, token_button
def setup_progressbar(progressbar, preview, id_part, textinfo=None):
@ -464,7 +468,7 @@ def create_ui(wrap_gradio_gpu_call):
import modules.txt2img
with gr.Blocks(analytics_enabled=False) as txt2img_interface:
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)
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)
dummy_component = gr.Label(visible=False)
with gr.Row(elem_id='txt2img_progress_row'):
@ -584,6 +588,7 @@ def create_ui(wrap_gradio_gpu_call):
roll.click(
fn=roll_artist,
_js="update_txt2img_tokens",
inputs=[
txt2img_prompt,
],
@ -612,9 +617,10 @@ def create_ui(wrap_gradio_gpu_call):
(hr_options, lambda d: gr.Row.update(visible="Denoising strength" in d)),
]
modules.generation_parameters_copypaste.connect_paste(paste, txt2img_paste_fields, txt2img_prompt)
token_button.click(fn=update_token_counter, inputs=[txt2img_prompt, steps], outputs=[token_counter])
with gr.Blocks(analytics_enabled=False) as img2img_interface:
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)
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)
with gr.Row(elem_id='img2img_progress_row'):
with gr.Column(scale=1):
@ -788,6 +794,7 @@ def create_ui(wrap_gradio_gpu_call):
roll.click(
fn=roll_artist,
_js="update_img2img_tokens",
inputs=[
img2img_prompt,
],
@ -798,6 +805,7 @@ def create_ui(wrap_gradio_gpu_call):
prompts = [(txt2img_prompt, txt2img_negative_prompt), (img2img_prompt, img2img_negative_prompt)]
style_dropdowns = [(txt2img_prompt_style, txt2img_prompt_style2), (img2img_prompt_style, img2img_prompt_style2)]
style_js_funcs = ["update_txt2img_tokens", "update_img2img_tokens"]
for button, (prompt, negative_prompt) in zip([txt2img_save_style, img2img_save_style], prompts):
button.click(
@ -809,9 +817,10 @@ def create_ui(wrap_gradio_gpu_call):
outputs=[txt2img_prompt_style, img2img_prompt_style, txt2img_prompt_style2, img2img_prompt_style2],
)
for button, (prompt, negative_prompt), (style1, style2) in zip([txt2img_prompt_style_apply, img2img_prompt_style_apply], prompts, style_dropdowns):
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):
button.click(
fn=apply_styles,
_js=js_func,
inputs=[prompt, negative_prompt, style1, style2],
outputs=[prompt, negative_prompt, style1, style2],
)
@ -834,6 +843,7 @@ def create_ui(wrap_gradio_gpu_call):
(denoising_strength, "Denoising strength"),
]
modules.generation_parameters_copypaste.connect_paste(paste, img2img_paste_fields, img2img_prompt)
token_button.click(fn=update_token_counter, inputs=[img2img_prompt, steps], outputs=[token_counter])
with gr.Blocks(analytics_enabled=False) as extras_interface:
with gr.Row().style(equal_height=False):