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import gradio as gr
import os
import sys
from pathlib import Path
models = [
"Yntec/photoMovieRealistic",
"Yntec/a-ZovyaRPGV3VAE",
"Yntec/a-ZoviaRPGArtistV2VAE",
"Yntec/InsaneRealisticCVAE",
"Yntec/Lunar",
"Yntec/LunarLuma",
"Yntec/QToriReloaded",
"Yntec/Ninja-Diffusers",
"Yntec/ChildrenStoriesAnime",
"Yntec/DucHaitenAnime768",
"Yntec/DucHaitenClassicAnime768",
"Yntec/WesternAnimation",
"Yntec/GOLDFish",
"Yntec/Rainbowsphere",
"Yntec/DreamAnything",
"Yntec/yabalMixTrue25D_v2_VAE",
"dreamlike-art/dreamlike-anime-1.0",
"Yntec/DucHaiten-Retro-Diffusers",
"Hemlok/QuinceMix",
"Yntec/KIDSILLUSTRATIONS",
"Yntec/COOLKIDSV2",
"Yntec/Pavo-Mix-Diffusers",
"Yntec/DucHaitenAIart-beta",
"Ojimi/anime-kawai-diffusion",
"LottePeisch/RevAnimated-Diffusers",
"Linaqruf/animagine-xl",
"Envvi/Inkpunk-Diffusion",
"Birchlabs/waifu-diffusion-xl-unofficial",
"digiplay/KawaiiRealisticAnimeMix_A0.3",
"digiplay/AI-infinity-V1-fp16",
"Yntec/photoMovieX",
"Yntec/OrangeRemix",
"digiplay/majicMIX_realistic_v6",
"digiplay/LuckyStrikeMix1.05_Lovelylady",
"digiplay/nk15_diffusers",
"digiplay/TWingshadow_v1.2",
"digiplay/bluePencilRealistic_v01",
"digiplay/OnlyAnime_v2.3",
"digiplay/LemonCreami",
"digiplay/LunarDiffusion_v1.27",
"digiplay/CyberRealistic_Classic_v1.5",
]
current_model = models[0]
text_gen1=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link")
models2=[
gr.Interface.load(f"models/{models[0]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[1]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[2]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[3]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[4]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[5]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[6]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[7]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[8]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[9]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[10]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[11]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[12]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[13]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[14]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[15]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[16]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[17]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[18]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[19]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[20]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[21]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[22]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[23]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[24]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[25]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[26]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[27]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[28]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[29]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[30]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[31]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[32]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[33]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[34]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[35]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[36]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[37]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[38]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[39]}",live=True,preprocess=False),
gr.Interface.load(f"models/{models[40]}",live=True,preprocess=False),
]
def text_it1(inputs,text_gen1=text_gen1):
go_t1=text_gen1(inputs)
return(go_t1)
def set_model(current_model):
current_model = models[current_model]
return gr.update(label=(f"{current_model}"))
def send_it1(inputs, model_choice):
proc1=models2[model_choice]
output1=proc1(inputs)
return(output1)
css=""""""
with gr.Blocks(css=css) as myface:
gr.HTML()
with gr.Row():
with gr.Tab("说明"):
gr.HTML(""" <title>多模型加速生成</title><div style="text-align: center; max-width: 1500px; margin: 0 auto;">
<h1>输入文字生成图像</h1>
<br><h4>第一次导入模型可能需要200秒生成</h4>
<br><h4>之后一般只需20秒左右</h4>""")
with gr.Tab("内置模型解释"):
gr.HTML(""" <title>在内置模型中生成图片可能出现的问题</title><div style="text-align: center; max-width: 1500px; margin: 0 auto;">
<h4>1. 使用Envvi/Inkpunk-Diffusion时,需要在提示词中加上“nvinkpunk”</h4>
<h4>2. 使用digiplay/majicMIX_realistic_v6时,在提示词中加上“HI-RES”效果更好</h4>
<h4>3. 使用digiplay/LuckyStrikeMix1.05_Lovelylady时,在提示词中加上“photorealism”,“8k”等关键词,效果更好</h4>""")
with gr.Row():
with gr.Column(scale=100):
magic1=gr.Textbox(label="输入提示词:", lines=4, placeholder = "英文")
run=gr.Button("生成图像")
with gr.Row():
with gr.Column(scale=100):
model_name1 = gr.Dropdown(label="选择模型", choices=[m for m in models], type="index", value=current_model, interactive=True)
with gr.Row():
with gr.Column(style="width=800px"):
output1=gr.Image(label=(f"{current_model}"))
with gr.Row():
with gr.Column(scale=50):
gr.HTML("""<h1>没有想法?</h1>""")
input_text=gr.Textbox(label="输入提示词点子:",lines=2, placeholder = "英文")
use_short=gr.Button("使用精简提示词(使用框中提示词)")
see_prompts=gr.Button("扩充框内提示词")
def short_prompt(inputs):
return(inputs)
model_name1.change(set_model,inputs=model_name1,outputs=[output1])
run.click(send_it1, inputs=[magic1, model_name1], outputs=[output1])
use_short.click(short_prompt,inputs=[input_text],outputs=magic1)
see_prompts.click(text_it1,inputs=[input_text],outputs=magic1)
myface.queue(concurrency_count=200)
myface.launch(inline=True, show_api=False, max_threads=400) |