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main.py
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main.py
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import multiprocessing as mp
import gradio as gr
from utils.env import env
from utils.gpt4free import main as g4f
from utils.prepare import logger
def main():
import os
from pathlib import Path
from src.batch_inpaint import for_webui as inpaint
from src.batch_mosaic import main as mosaic
from src.batch_tagger import SWINV2_MODEL_DSV3_REPO, dropdown_list, tagger
from src.batch_vibe_transfer import vibe_by_hand
from src.batch_waifu2x import main as upscale
from src.batch_watermark import main as water
from src.director_tools import (
director_tools_colorize,
director_tools_declutter,
director_tools_emotion,
director_tools_line_art,
director_tools_remove_bg,
director_tools_sketch,
)
from src.image2image import i2i_by_hand
from src.image2pixiv import main as pixiv
from src.movie2movie import m2m, merge_av, video2frame
from src.pnginfo_modify import export_info, remove_info, revert_info
from src.setting_update import webui as setting
from src.text2image_nsfw import return_resolution, t2i, t2i_by_hand
from src.text2image_sfw import main as batchtxt
from src.tiled_upscale import tile_upscale
from utils.imgtools import _return_pnginfo, return_pnginfo
from utils.plugin import install_plugin, load_plugins, plugin_list, uninstall_plugin
from utils.restart import restart
from utils.selector import copy_current_img, del_current_img, move_current_img, show_first_img, show_next_img
from utils.update import check_update, update
from utils.utils import (
CHARACTER_POSITION,
FAVORTES_FILE,
MODEL,
NOISE_SCHEDULE,
RESOLUTION,
SAMPLER,
THEME_LIST,
add_item_for_yaml,
add_wildcard_to_textbox,
cancel_probabilities_for_item,
del_item_for_yaml,
gen_script,
list_to_str,
open_folder,
read_json,
read_txt,
read_yaml,
return_names_list,
return_random,
return_source_or_type_list,
return_wildcard_tag,
update_image_size,
update_name_to_dropdown_list,
update_t2i_nsf_dropdown_list,
)
# ------------------------------ #
webui_language = read_json(f"./files/languages/{env.webui_lang}/webui.json")
default_positive_input = (
webui_language["example"]["positive"]
if not os.path.exists("start.json")
else read_json("start.json")["positive"]
)
default_negative_input = (
webui_language["example"]["negative"]
if not os.path.exists("start.json")
else read_json("start.json")["negative"]
)
# ------------------------------ #
def open_output_folder_block(output_folder):
open_output_folder_folder = gr.Button(webui_language["t2i"]["open_folder"], scale=1)
open_output_folder_folder.click(
open_folder, inputs=gr.Textbox(Path(f"./output/{output_folder}"), visible=False)
)
# ------------------------------ #
with gr.Blocks(
theme=env.theme, title="Semi-Auto-NovelAI-to-Pixiv", head=read_txt("./files/webui/select_by_hot_key.html")
) as sanp:
# ---------- 标题 ---------- #
gr.Markdown(webui_language["title"] + " " + check_update())
# ---------- 教程说明 ---------- #
with gr.Tab(webui_language["info"]["tab"]):
gr.Markdown(read_txt("./files/languages/README.md"))
# ---------- 文生图 ---------- #
with gr.Tab(webui_language["t2i"]["tab"]):
with gr.Tab(webui_language["t2i"]["tab"]):
with gr.Row():
with gr.Column(scale=5):
gr.Markdown(webui_language["t2i"]["description"])
open_output_folder_block("t2i")
with gr.Column():
with gr.Column(scale=3):
text2image_positive_input = gr.Textbox(
value=default_positive_input,
lines=2,
label=webui_language["t2i"]["positive"],
)
with gr.Row():
text2image_negative_input = gr.Textbox(
value=default_negative_input,
lines=2,
label=webui_language["t2i"]["negative"],
scale=3,
)
with gr.Column(scale=1):
text2image_generate_button = gr.Button(value=webui_language["t2i"]["generate_button"])
text2image_quantity = gr.Slider(
minimum=1, maximum=999, value=1, step=1, label=webui_language["t2i"]["times"]
)
with gr.Tab("生成参数"):
with gr.Row():
with gr.Column(scale=1):
text2image_resolution = gr.Dropdown(
RESOLUTION,
value=(
"832x1216"
if env.img_size == -1
else "{}x{}".format((env.img_size)[0], (env.img_size)[1])
),
label=webui_language["t2i"]["resolution"],
)
with gr.Row():
text2image_width = gr.Textbox(
value=(env.img_size)[0] if env.img_size != -1 else "832",
label=webui_language["t2i"]["width"],
)
text2image_height = gr.Textbox(
value=(env.img_size)[1] if env.img_size != -1 else "1216",
label=webui_language["t2i"]["height"],
)
text2image_resolution.change(
return_resolution,
text2image_resolution,
outputs=[text2image_width, text2image_height],
show_progress="hidden",
)
text2image_scale = gr.Slider(
minimum=0,
maximum=10,
value=env.scale,
step=0.1,
label=webui_language["t2i"]["scale"],
)
text2image_sampler = gr.Dropdown(
SAMPLER,
value=env.sampler,
label=webui_language["t2i"]["sampler"],
)
text2image_noise_schedule = gr.Dropdown(
NOISE_SCHEDULE,
value=env.noise_schedule,
label=webui_language["t2i"]["noise_schedule"],
)
text2image_steps = gr.Slider(
minimum=0, maximum=50, value=env.steps, step=1, label=webui_language["t2i"]["steps"]
)
with gr.Row():
text2image_sm = gr.Checkbox(
value=env.sm if env.model != "nai-diffusion-4-curated-preview" else False,
label="sm",
visible=True if env.model != "nai-diffusion-4-curated-preview" else False,
)
text2image_sm_dyn = gr.Checkbox(
value=env.sm_dyn if env.model != "nai-diffusion-4-curated-preview" else False,
label=webui_language["t2i"]["smdyn"],
visible=True if env.model != "nai-diffusion-4-curated-preview" else False,
)
with gr.Row():
text2image_variety = gr.Checkbox(
value=env.variety if env.model != "nai-diffusion-4-curated-preview" else False,
label="variety",
visible=True if env.model != "nai-diffusion-4-curated-preview" else False,
)
text2image_decrisp = gr.Checkbox(value=env.decrisp, label="decrisp")
with gr.Row():
text2image_seed = gr.Textbox(
value=str(env.seed), label=webui_language["t2i"]["seed"], scale=7
)
text2image_random_seed = gr.Button(value="♻️", size="sm", scale=1)
text2image_random_seed.click(return_random, inputs=None, outputs=text2image_seed)
text2image_output_image = gr.Image(scale=2)
with gr.Tab("wildcards"):
with gr.Row():
text2image_wildcard_file = gr.Dropdown(
choices=FAVORTES_FILE,
label="wildcard文件",
)
text2image_wildcard_name = gr.Dropdown(label="名称")
text2image_wildcard_file.change(
update_name_to_dropdown_list,
inputs=text2image_wildcard_file,
outputs=text2image_wildcard_name,
)
text2image_add_wildcard_button = gr.Button("添加到文本框")
text2image_add_wildcard_button.click(
add_wildcard_to_textbox,
inputs=[
text2image_positive_input,
text2image_negative_input,
text2image_wildcard_file,
text2image_wildcard_name,
],
outputs=[text2image_positive_input, text2image_negative_input],
)
text2image_wildcard_tag = gr.Textbox(label="tag")
text2image_wildcard_name.change(
return_wildcard_tag,
inputs=[text2image_wildcard_file, text2image_wildcard_name],
outputs=text2image_wildcard_tag,
)
with gr.Tab("Character", visible=True if env.model == "nai-diffusion-4-curated-preview" else False):
ai_choice = gr.Checkbox(True, label="AI 选择位置(AI's choice)")
gr.Markdown("<hr>")
def character_compents(number):
with gr.Row():
character_position = gr.Dropdown(CHARACTER_POSITION, label="位置(Position)")
character_switch = gr.Checkbox(False, label="启用(Switch)")
gr.Textbox(f"角色{number}", show_label=False)
with gr.Row():
character_positive = gr.Textbox(label="正面提示词(Positive)", lines=3)
character_negative = gr.Textbox(label="负面提示词(Negative)", lines=3)
for _ in range(3):
gr.Markdown("<hr>")
return character_switch, character_positive, character_negative, character_position
components_list = [character_compents(num) for num in range(1, 7)]
new_components_list = [component for components in components_list for component in components]
text2image_generate_button.click(
fn=t2i_by_hand,
inputs=[
text2image_positive_input,
text2image_negative_input,
text2image_width,
text2image_height,
text2image_scale,
text2image_sampler,
text2image_noise_schedule,
text2image_steps,
text2image_sm,
text2image_sm_dyn,
text2image_variety,
text2image_decrisp,
text2image_seed,
text2image_quantity,
]
+ [ai_choice]
+ new_components_list,
outputs=text2image_output_image,
)
with gr.Tab(webui_language["random blue picture"]["tab"]):
with gr.Tab(webui_language["random blue picture"]["tab"]):
with gr.Row():
with gr.Column(scale=6):
gr.Markdown(webui_language["random blue picture"]["description"])
with gr.Row():
open_output_folder_block("t2i")
generate_text2image_nsfw_script_button = gr.Button(webui_language["t2i"]["script_gen"])
with gr.Row():
text2image_nsfw_fixed_artist = gr.Dropdown(
choices=return_names_list(read_yaml("./files/favorites/artists.yaml")),
value="随机",
label="固定画风",
)
text2image_nsfw_fixed_prefix = gr.Dropdown(
choices=return_names_list(read_yaml("./files/favorites/prefixes.yaml")),
value="随机",
label="固定质量词",
)
text2image_nsfw_fixed_negative = gr.Dropdown(
choices=return_names_list(read_yaml("./files/favorites/negative.yaml")),
value="随机",
label="固定负面",
)
with gr.Row():
text2image_nsfw_fixed_source = gr.Dropdown(
choices=["随机"]
+ return_source_or_type_list(
cancel_probabilities_for_item(read_yaml("./files/favorites/characters.yaml"))
),
value="随机",
label="固定角色出处",
)
text2image_nsfw_fixed_character = gr.Dropdown(
choices=return_names_list(read_yaml("./files/favorites/characters.yaml")),
value="随机",
label="固定角色",
)
text2image_nsfw_fixed_action_type = gr.Dropdown(
choices=["随机"]
+ return_source_or_type_list(
cancel_probabilities_for_item(read_yaml("./files/favorites/actions.yaml"))
),
value="随机",
label="固定动作类型",
)
text2image_nsfw_fixed_action = gr.Dropdown(
choices=return_names_list(read_yaml("./files/favorites/actions.yaml")),
value="随机",
label="固定动作",
)
with gr.Row():
text2image_nsfw_fixed_emotion = gr.Dropdown(
choices=return_names_list(read_yaml("./files/favorites/emotions.yaml")),
value="随机",
label="固定表情",
)
text2image_nsfw_fixed_surrounding = gr.Dropdown(
choices=return_names_list(read_yaml("./files/favorites/surroundings.yaml")),
value="随机",
label="固定场景",
)
text2image_nsfw_fixed_fixed_stains = gr.Dropdown(
choices=return_names_list(read_yaml("./files/favorites/stains.yaml")),
value="随机",
label="固定污渍",
)
with gr.Row():
text2image_nsfw_update_dropdown_list_button = gr.Button(
webui_language["t2i"]["update_dropdown_list"]
)
text2image_nsfw_generate_button = gr.Button(webui_language["t2i"]["generate_button"])
text2image_nsfw_generate_forever_button = gr.Button(
webui_language["random blue picture"]["generate_forever"]
)
text2image_nsfw_stop_button = gr.Button(webui_language["random blue picture"]["stop_button"])
with gr.Row():
text2image_nsfw_output_image = gr.Image()
text2image_nsfw_forever_output_image = gr.Image()
text2image_nsfw_cancel_event = text2image_nsfw_forever_output_image.change(
fn=t2i,
inputs=[
gr.Radio(value=False, visible=False),
text2image_nsfw_fixed_artist,
text2image_nsfw_fixed_prefix,
text2image_nsfw_fixed_negative,
text2image_nsfw_fixed_source,
text2image_nsfw_fixed_character,
text2image_nsfw_fixed_action_type,
text2image_nsfw_fixed_action,
text2image_nsfw_fixed_emotion,
text2image_nsfw_fixed_surrounding,
text2image_nsfw_fixed_fixed_stains,
],
outputs=text2image_nsfw_forever_output_image,
show_progress="hidden",
)
text2image_nsfw_generate_button.click(
fn=t2i,
inputs=[
gr.Radio(value=False, visible=False),
text2image_nsfw_fixed_artist,
text2image_nsfw_fixed_prefix,
text2image_nsfw_fixed_negative,
text2image_nsfw_fixed_source,
text2image_nsfw_fixed_character,
text2image_nsfw_fixed_action_type,
text2image_nsfw_fixed_action,
text2image_nsfw_fixed_emotion,
text2image_nsfw_fixed_surrounding,
text2image_nsfw_fixed_fixed_stains,
],
outputs=text2image_nsfw_output_image,
)
text2image_nsfw_generate_forever_button.click(
fn=t2i,
inputs=[
gr.Radio(value=False, visible=False),
text2image_nsfw_fixed_artist,
text2image_nsfw_fixed_prefix,
text2image_nsfw_fixed_negative,
text2image_nsfw_fixed_source,
text2image_nsfw_fixed_character,
text2image_nsfw_fixed_action_type,
text2image_nsfw_fixed_action,
text2image_nsfw_fixed_emotion,
text2image_nsfw_fixed_surrounding,
text2image_nsfw_fixed_fixed_stains,
],
outputs=text2image_nsfw_forever_output_image,
)
text2image_nsfw_stop_button.click(None, None, None, cancels=[text2image_nsfw_cancel_event])
generate_text2image_nsfw_script_button.click(
gen_script,
inputs=[
gr.Textbox("随机蓝图", visible=False),
text2image_nsfw_fixed_artist,
text2image_nsfw_fixed_prefix,
text2image_nsfw_fixed_negative,
text2image_nsfw_fixed_source,
text2image_nsfw_fixed_character,
text2image_nsfw_fixed_action_type,
text2image_nsfw_fixed_action,
text2image_nsfw_fixed_emotion,
text2image_nsfw_fixed_surrounding,
text2image_nsfw_fixed_fixed_stains,
],
outputs=None,
)
text2image_nsfw_update_dropdown_list_button.click(
update_t2i_nsf_dropdown_list,
inputs=None,
outputs=[
text2image_nsfw_fixed_artist,
text2image_nsfw_fixed_prefix,
text2image_nsfw_fixed_negative,
text2image_nsfw_fixed_source,
text2image_nsfw_fixed_character,
text2image_nsfw_fixed_action_type,
text2image_nsfw_fixed_action,
text2image_nsfw_fixed_emotion,
text2image_nsfw_fixed_surrounding,
text2image_nsfw_fixed_fixed_stains,
],
)
with gr.Tab("添加提示词"):
item_to_add = gr.Dropdown(
choices=FAVORTES_FILE,
label="想追加什么内容?(必填)",
)
tag_to_add = gr.Textbox("", lines=3, label="提示词(必填)")
with gr.Row():
name_to_add = gr.Textbox(label="名称(必填)")
probability_to_add = gr.Dropdown(
choices=["较大概率选中", "中等概率选中", "较小概率选中"],
value="中等概率选中",
label="概率(必填)",
)
source_to_add = gr.Textbox(label="出处(选择 characters.yaml 时必填)")
type_to_add = gr.Textbox(label="类型(选择 actions.yaml 时必填)")
with gr.Row():
sampler_to_add = gr.Dropdown(
choices=SAMPLER, value="k_euler", label="采样器(选择 artists.yaml 时必填)"
)
noise_schedule_to_add = gr.Dropdown(
choices=NOISE_SCHEDULE, value="native", label="噪声计划表(选择 artists.yaml 时必填)"
)
cfg_to_add = gr.Slider(0, 10, 5, step=0.1, label="cfg(选择 artists.yaml 时必填)")
with gr.Row():
sm_to_add = gr.Dropdown(
choices=[True, False], value=False, label="sm(选择 artists.yaml 时必填)"
)
sm_dyn_to_add = gr.Dropdown(
choices=[True, False], value=False, label="sm_dyn(选择 artists.yaml 时必填)"
)
variety_to_add = gr.Dropdown(
choices=[True, False], value=False, label="variety(选择 artists.yaml 时必填)"
)
decrisp_to_add = gr.Dropdown(
choices=[True, False], value=False, label="decrisp(选择 artists.yaml 时必填)"
)
add_button = gr.Button("添加")
add_button.click(
add_item_for_yaml,
inputs=[
item_to_add,
tag_to_add,
name_to_add,
probability_to_add,
source_to_add,
type_to_add,
sampler_to_add,
noise_schedule_to_add,
cfg_to_add,
sm_to_add,
sm_dyn_to_add,
variety_to_add,
decrisp_to_add,
],
outputs=[
item_to_add,
tag_to_add,
name_to_add,
probability_to_add,
source_to_add,
type_to_add,
sampler_to_add,
noise_schedule_to_add,
cfg_to_add,
sm_to_add,
sm_dyn_to_add,
],
)
with gr.Tab("删除提示词"):
item_to_del = gr.Dropdown(
choices=FAVORTES_FILE,
label="想删除什么内容?(必填)",
)
name_to_del = gr.Dropdown(label="名称(必填)")
item_to_del.change(update_name_to_dropdown_list, inputs=item_to_del, outputs=name_to_del)
tag_to_del = gr.Textbox(label="tag")
name_to_del.change(
return_wildcard_tag,
inputs=[item_to_del, name_to_del],
outputs=tag_to_del,
)
del_button = gr.Button("删除")
del_button.click(
del_item_for_yaml, inputs=[item_to_del, name_to_del], outputs=[item_to_del, name_to_del]
)
with gr.Tab(webui_language["random picture"]["tab"]):
with gr.Row():
with gr.Column(scale=6):
gr.Markdown(webui_language["random picture"]["description"])
with gr.Row():
open_output_folder_block("t2i")
generate_text2image_sfw_script_button = gr.Button(webui_language["t2i"]["script_gen"])
with gr.Row():
text2image_sfw_prefix = gr.Textbox(
"", label=webui_language["random picture"]["pref"], lines=2, scale=4
)
text2image_sfw_position = gr.Radio(
value="最前面(Top)",
choices=["最前面(Top)", "最后面(Last)"],
label=webui_language["random picture"]["position"],
scale=1,
)
with gr.Column():
text2image_sfw_random_artists_top_switch = gr.Checkbox(
value=False,
label=webui_language["random picture"]["text2image_sfw_random_artists_top_switch"],
)
text2image_sfw_random_artists_last_switch = gr.Checkbox(
value=False,
label=webui_language["random picture"]["text2image_sfw_random_artists_last_switch"],
)
text2image_sfw_prevent_to_move_switch = gr.Checkbox(
value=False, label=webui_language["random picture"]["text2image_sfw_prevent_to_move_switch"]
)
with gr.Row():
text2image_sfw_generate_forever_button = gr.Button(
webui_language["random blue picture"]["generate_forever"]
)
text2image_sfw_stop_button = gr.Button(webui_language["random blue picture"]["stop_button"])
text2image_sfw_output_image = gr.Image()
text2image_sfw_cancel_event = text2image_sfw_output_image.change(
fn=batchtxt,
inputs=[
gr.Radio(value=False, visible=False),
text2image_sfw_prefix,
text2image_sfw_position,
text2image_sfw_random_artists_top_switch,
text2image_sfw_random_artists_last_switch,
text2image_sfw_prevent_to_move_switch,
],
outputs=text2image_sfw_output_image,
show_progress="hidden",
)
text2image_sfw_generate_forever_button.click(
fn=batchtxt,
inputs=[
gr.Radio(value=False, visible=False),
text2image_sfw_prefix,
text2image_sfw_position,
text2image_sfw_random_artists_top_switch,
text2image_sfw_random_artists_last_switch,
text2image_sfw_prevent_to_move_switch,
],
outputs=text2image_sfw_output_image,
)
text2image_sfw_stop_button.click(None, None, None, cancels=[text2image_sfw_cancel_event])
generate_text2image_sfw_script_button.click(
gen_script,
inputs=[
gr.Textbox("随机图片", visible=False),
text2image_sfw_prefix,
text2image_sfw_position,
text2image_sfw_random_artists_top_switch,
text2image_sfw_random_artists_last_switch,
text2image_sfw_prevent_to_move_switch,
],
)
with gr.Tab("Vibe"):
with gr.Row():
with gr.Column(scale=5):
gr.Markdown(webui_language["t2i"]["description"])
open_output_folder_block("vibe")
with gr.Column():
with gr.Column(scale=3):
vibe_transfer_positive_input = gr.Textbox(
value=default_positive_input,
lines=2,
label=webui_language["t2i"]["positive"],
)
with gr.Row():
vibe_transfer_negative_input = gr.Textbox(
value=default_negative_input,
lines=2,
label=webui_language["t2i"]["negative"],
scale=3,
)
with gr.Column(scale=1):
vibe_transfer_generate_button = gr.Button(
value=webui_language["t2i"]["generate_button"], scale=1
)
vibe_transfer_quantity = gr.Slider(
minimum=1, maximum=999, value=1, step=1, label=webui_language["t2i"]["times"]
)
with gr.Tab("生成参数"):
vibe_transfer_input_images = gr.Textbox("", label=webui_language["vibe"]["input_imgs"])
with gr.Row():
with gr.Column(scale=1):
vibe_transfer_resolution = gr.Dropdown(
RESOLUTION,
value=(
"832x1216"
if env.img_size == -1
else "{}x{}".format((env.img_size)[0], (env.img_size)[1])
),
label=webui_language["t2i"]["resolution"],
)
with gr.Row():
vibe_transfer_width = gr.Textbox(
value=(env.img_size)[0] if env.img_size != -1 else "832",
label=webui_language["t2i"]["width"],
)
vibe_transfer_height = gr.Textbox(
value=(env.img_size)[1] if env.img_size != -1 else "1216",
label=webui_language["t2i"]["height"],
)
vibe_transfer_resolution.change(
return_resolution,
vibe_transfer_resolution,
outputs=[vibe_transfer_width, vibe_transfer_height],
show_progress="hidden",
)
vibe_transfer_scale = gr.Slider(
minimum=0,
maximum=10,
value=env.scale,
step=0.1,
label=webui_language["t2i"]["scale"],
)
vibe_transfer_sampler = gr.Dropdown(
SAMPLER,
value=env.sampler,
label=webui_language["t2i"]["sampler"],
)
vibe_transfer_noise_schedule = gr.Dropdown(
NOISE_SCHEDULE,
value=env.noise_schedule,
label=webui_language["t2i"]["noise_schedule"],
)
vibe_transfer_steps = gr.Slider(
minimum=0, maximum=50, value=env.steps, step=1, label=webui_language["t2i"]["steps"]
)
with gr.Row():
vibe_transfer_sm = gr.Checkbox(value=env.sm, label="sm")
vibe_transfer_sm_dyn = gr.Checkbox(
value=env.sm_dyn, label=webui_language["t2i"]["smdyn"]
)
with gr.Row():
vibe_transfer_variety = gr.Checkbox(value=env.variety, label="variety")
vibe_transfer_decrisp = gr.Checkbox(value=env.decrisp, label="decrisp")
vibe_transfer_seed = gr.Textbox(
value=str(env.seed), label=webui_language["t2i"]["seed"]
)
vibe_transfer_output_image = gr.Image(scale=2)
with gr.Tab("wildcards"):
with gr.Row():
vibe_transfer_wildcard_file = gr.Dropdown(
choices=FAVORTES_FILE,
label="wildcard文件",
)
vibe_transfer_wildcard_name = gr.Dropdown(label="名称")
vibe_transfer_wildcard_file.change(
update_name_to_dropdown_list,
inputs=vibe_transfer_wildcard_file,
outputs=vibe_transfer_wildcard_name,
)
vibe_transfer_add_wildcard_button = gr.Button("添加到文本框")
vibe_transfer_add_wildcard_button.click(
add_wildcard_to_textbox,
inputs=[
vibe_transfer_positive_input,
vibe_transfer_negative_input,
vibe_transfer_wildcard_file,
vibe_transfer_wildcard_name,
],
outputs=[vibe_transfer_positive_input, vibe_transfer_negative_input],
)
vibe_transfer_wildcard_tag = gr.Textbox(label="tag")
vibe_transfer_wildcard_name.change(
return_wildcard_tag,
inputs=[vibe_transfer_wildcard_file, vibe_transfer_wildcard_name],
outputs=vibe_transfer_wildcard_tag,
)
vibe_transfer_generate_button.click(
fn=vibe_by_hand,
inputs=[
vibe_transfer_positive_input,
vibe_transfer_negative_input,
vibe_transfer_width,
vibe_transfer_height,
vibe_transfer_scale,
vibe_transfer_sampler,
vibe_transfer_noise_schedule,
vibe_transfer_steps,
vibe_transfer_sm,
vibe_transfer_sm_dyn,
vibe_transfer_variety,
vibe_transfer_decrisp,
vibe_transfer_seed,
vibe_transfer_input_images,
vibe_transfer_quantity,
],
outputs=vibe_transfer_output_image,
)
# ---------- 文生图插件 ---------- #
text2image_plugins = load_plugins(Path("./plugins/t2i"))
for plugin_name, plugin_module in text2image_plugins.items():
if hasattr(plugin_module, "plugin"):
plugin_module.plugin()
logger.success(f" 成功加载插件: {plugin_name}")
else:
logger.error(f"插件: {plugin_name} 没有 plugin 函数!")
# ---------- 图生图 ---------- #
with gr.Tab(webui_language["i2i"]["tab"]):
with gr.Tab(webui_language["i2i"]["tab"]):
with gr.Row():
with gr.Column(scale=8):
gr.Markdown(webui_language["t2i"]["description"])
open_output_folder_block("i2i")
with gr.Column():
with gr.Column():
image2image_positive_input = gr.Textbox(
value=default_positive_input,
lines=2,
label=webui_language["t2i"]["positive"],
)
with gr.Row():
image2image_negative_input = gr.Textbox(
value=default_negative_input,
lines=3,
label=webui_language["t2i"]["negative"],
scale=3,
)
image2image_generate_button = gr.Button(
value=webui_language["t2i"]["generate_button"], scale=1
)
with gr.Tab("生成参数"):
with gr.Row():
image2image_input_path = gr.Textbox(
value="", label=webui_language["i2i"]["input_path"], scale=5
)
image2image_batch_switch = gr.Radio(
[True, False], value=False, label=webui_language["i2i"]["open_button"], scale=1
)
with gr.Row():
image2image_input_image = gr.Image(type="pil")
with gr.Column():
image2image_output_information = gr.Textbox(label=webui_language["i2i"]["output_info"])
image2image_output_image = gr.Image()
with gr.Column():
with gr.Row():
image2image_resolution = gr.Dropdown(
RESOLUTION,
value=(
"832x1216"
if env.img_size == -1
else "{}x{}".format((env.img_size)[0], (env.img_size)[1])
),
label=webui_language["t2i"]["resolution"],
)
image2image_width = gr.Textbox(value="832", label=webui_language["t2i"]["width"])
image2image_height = gr.Textbox(value="1216", label=webui_language["t2i"]["height"])
image2image_resolution.change(
return_resolution,
image2image_resolution,
outputs=[image2image_width, image2image_height],
show_progress="hidden",
)
image2image_sampler = gr.Dropdown(
SAMPLER,
value=env.sampler,
label=webui_language["t2i"]["sampler"],
)
image2image_noise_schedule = gr.Dropdown(
NOISE_SCHEDULE,
value=env.noise_schedule,
label=webui_language["t2i"]["noise_schedule"],
)
with gr.Row():
image2image_strength = gr.Slider(
minimum=0,
maximum=1,
value=env.hires_strength,
step=0.1,
label=webui_language["i2i"]["strength"],
)
image2image_noise = gr.Slider(
minimum=0,
maximum=1,
value=env.hires_noise,
step=0.1,
label=webui_language["i2i"]["noise"],
)
image2image_scale = gr.Slider(
minimum=0,
maximum=10,
value=env.scale,
step=0.1,
label=webui_language["t2i"]["scale"],
)
image2image_steps = gr.Slider(
minimum=0, maximum=50, value=env.steps, step=1, label=webui_language["t2i"]["steps"]
)
with gr.Row():
with gr.Column():
image2image_sm = gr.Checkbox(value=env.sm, label="sm", scale=2)
image2image_sm_dyn = gr.Checkbox(
value=env.sm_dyn, label=webui_language["t2i"]["smdyn"], scale=2
)
with gr.Column():
image2image_variety = gr.Checkbox(value=env.variety, label="variety")
image2image_decrisp = gr.Checkbox(value=env.decrisp, label="decrisp")
with gr.Column(scale=1):
image2image_seed = gr.Textbox(
value=str(env.seed), label=webui_language["t2i"]["seed"], scale=7
)
image2image_random_button = gr.Button(value="♻️", size="sm", scale=1)
image2image_random_button.click(return_random, inputs=None, outputs=image2image_seed)
with gr.Tab("wildcards"):
with gr.Row():
image2image_wildcard_file = gr.Dropdown(
choices=FAVORTES_FILE,
label="wildcard文件",
)
image2image_wildcard_name = gr.Dropdown(label="名称")
image2image_wildcard_file.change(
update_name_to_dropdown_list,
inputs=image2image_wildcard_file,
outputs=image2image_wildcard_name,
)
image2image_add_wildcard_button = gr.Button("添加到文本框")
image2image_add_wildcard_button.click(
add_wildcard_to_textbox,
inputs=[
image2image_positive_input,
image2image_negative_input,
image2image_wildcard_file,
image2image_wildcard_name,
],
outputs=[image2image_positive_input, image2image_negative_input],
)
image2image_wildcard_tag = gr.Textbox(label="tag")
image2image_wildcard_name.change(
return_wildcard_tag,
inputs=[image2image_wildcard_file, image2image_wildcard_name],
outputs=image2image_wildcard_tag,
)
image2image_generate_button.click(
fn=i2i_by_hand,
inputs=[
image2image_input_image,
image2image_input_path,
image2image_batch_switch,
image2image_positive_input,
image2image_negative_input,
image2image_width,
image2image_height,
image2image_scale,
image2image_sampler,
image2image_noise_schedule,
image2image_steps,
image2image_strength,
image2image_noise,
image2image_sm,
image2image_sm_dyn,
image2image_variety,
image2image_decrisp,
image2image_seed,
],
outputs=[image2image_output_image, image2image_output_information],
)
with gr.Tab(webui_language["m2m"]["tab"]):
with gr.Tab(webui_language["m2m"]["sub_tab"]["tab0"]):
gr.Markdown(webui_language["m2m"]["description"]["tab0_1"])
gr.Markdown(webui_language["m2m"]["description"]["tab0_2"])
gr.Markdown(webui_language["m2m"]["description"]["tab0_3"])
with gr.Tab(webui_language["m2m"]["sub_tab"]["tab1"]):
movie2movie_output_information = gr.Textbox(label=webui_language["i2i"]["output_info"])
movie2movie_generate_button = gr.Button(webui_language["water mark"]["generate_button"])
movie2movie_video_path = gr.Textbox(label=webui_language["m2m"]["func"]["video_path"])
movie2movie_frames_save_path = gr.Textbox(label=webui_language["m2m"]["func"]["frames_save_path"])
with gr.Row():
movie2movie_time_interval = gr.Slider(
1, 30, 3, step=1, label=webui_language["m2m"]["func"]["interval_framing"], scale=5
)
movie2movie_save_audio_switch = gr.Checkbox(
True, label=webui_language["m2m"]["func"]["extract_audio"], scale=1
)
movie2movie_audio_path = gr.Textbox(label=webui_language["m2m"]["func"]["audio_save_path"])
movie2movie_name = gr.Textbox("video_.mp4", visible=False)
movie2movie_frames = gr.Slider(visible=False)
_movie2movie_fps = gr.Slider(visible=False)
movie2movie_generate_button.click(
video2frame,
inputs=[
movie2movie_video_path,
movie2movie_frames_save_path,
movie2movie_time_interval,
movie2movie_save_audio_switch,
movie2movie_audio_path,
],
outputs=[
movie2movie_name,
movie2movie_frames,
_movie2movie_fps,
movie2movie_output_information,
],
)
with gr.Tab(webui_language["m2m"]["sub_tab"]["tab2"]):
gr.Markdown(webui_language["m2m"]["description"]["tab2"])
with gr.Tab(webui_language["m2m"]["sub_tab"]["tab3"]):
gr.Markdown(webui_language["m2m"]["description"]["tab3"])
with gr.Tab(webui_language["m2m"]["sub_tab"]["tab4"]):
movie2movie_output_information = gr.Textbox(label=webui_language["i2i"]["output_info"])
movie2movie_generate_button = gr.Button(webui_language["water mark"]["generate_button"])
movie2movie_frames_save_path = gr.Textbox(label=webui_language["m2m"]["func"]["i2i_frames_path"])
movie2movie_frames_m2m_path = gr.Textbox(label=webui_language["m2m"]["func"]["frames_save_path"])
with gr.Row():
movie2movie_prompt = gr.Textbox(
"", label=webui_language["random picture"]["pref"], lines=2, scale=5
)
movie2movie_position = gr.Radio(
value="最前面(Top)",
choices=["最前面(Top)", "最后面(Last)"],
label=webui_language["random picture"]["position"],
scale=1,
)
movie2movie_negative = gr.Textbox(
default_negative_input,
label=webui_language["t2i"]["negative"],
lines=2,
)
movie2movie_resolution = gr.Dropdown(
RESOLUTION,
value=(
"832x1216" if env.img_size == -1 else "{}x{}".format((env.img_size)[0], (env.img_size)[1])
),
label=webui_language["t2i"]["resolution"],
)
movie2movie_scale = gr.Slider(
minimum=0, maximum=10, value=env.scale, step=0.1, label=webui_language["t2i"]["scale"]
)
movie2movie_steps = gr.Slider(
minimum=0, maximum=50, value=env.steps, step=1, label=webui_language["t2i"]["steps"]
)
movie2movie_strength = gr.Slider(
minimum=0, maximum=1, value=0.5, step=0.1, label=webui_language["i2i"]["strength"]
)
movie2movie_noise = gr.Slider(
minimum=0, maximum=1, value=0, step=0.1, label=webui_language["i2i"]["noise"]
)
movie2movie_sampler = gr.Dropdown(
SAMPLER,
value=env.sampler,
label=webui_language["t2i"]["sampler"],
)
movie2movie_noise_schedule = gr.Dropdown(
NOISE_SCHEDULE,
value=env.noise_schedule,
label=webui_language["t2i"]["noise_schedule"],
)
with gr.Row():
movie2movie_sm = gr.Checkbox(value=False, visible=False)
movie2movie_sm_dyn = gr.Checkbox(value=False, visible=False)
movie2movie_variety = gr.Checkbox(value=env.variety, label="variety")
movie2movie_decrisp = gr.Checkbox(value=env.decrisp, label="decrisp")
with gr.Row():
movie2movie_seed = gr.Textbox(
value=str(env.seed), label=webui_language["t2i"]["seed"], scale=7
)
movie2movie_random_button = gr.Button(value="♻️", size="sm", scale=1)
movie2movie_random_button.click(return_random, inputs=None, outputs=movie2movie_seed)
movie2movie_generate_button.click(
fn=m2m,
inputs=[
movie2movie_frames_save_path,
movie2movie_frames_m2m_path,
movie2movie_prompt,