Spaces:
Runtime error
Runtime error
File size: 4,568 Bytes
5dea875 aa97daf 6856745 5dea875 a1f2e89 5dea875 6856745 5dea875 a1f2e89 5dea875 c12e621 5dea875 c12e621 5dea875 248e8fc 5dea875 248e8fc 5dea875 c12e621 5dea875 aa97daf 5dea875 6856745 666c291 d1b7b64 5dea875 53a79c0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 |
import gradio as gr
import os
import sys
from pathlib import Path
from transformers import pipeline
#pipe = pipeline('text-generation', model_id='Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator')
models = [
"Yntec/NovelAIRemix",
"Joeythemonster/anything-midjourney-v-4-1",
"stablediffusionapi/dreamshaper-v6", #239
"stablediffusionapi/disneypixar",
"emilianJR/epiCRealism",
"prompthero/openjourney",
"stablediffusionapi/realistic-vision-v20-2047",
"stablediffusionapi/wand-magic2",
"dwancin/memoji", #07.11
"stablediffusionapi/anime-model-v2",
"goofyai/3d_render_style_xl"
]
current_model = models[0]
text_gen1=gr.Interface.load("models/Ar4ikov/gpt2-650k-stable-diffusion-prompt-generator")
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),
]
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("""<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<meta name="twitter:card" content="player"/>
<meta name="twitter:site" content=""/>
<meta name="twitter:player:width" content="100%"/>
<meta name="twitter:player:height" content="600"/>
</head>
</html>
""")
with gr.Row():
with gr.Tab("Title"):
gr.HTML(""" <title>A open-beta for precious people.</title><div style="text-align: center; max-width: 1500px; margin: 0 auto;">
""")
with gr.Tab("Description"):
gr.HTML("""<div style="text-align:center;">
</div>""")
with gr.Row():
with gr.Column(scale=100):
magic1 = gr.Textbox(lines=4)
gr.HTML("""<style> .gr-button {
color: white !important;
border-color: #000000 !important;
background: #006699 !important;
}</style>""")
run = gr.Button("Generate Image")
with gr.Row():
with gr.Column(scale=100):
#Model selection dropdown
model_name1 = gr.Dropdown(label="Select Model", 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):
input_text=gr.Textbox(label="Use this box to extend an idea automatically, by typing some words and clicking Extend Idea",lines=2)
see_prompts=gr.Button("Extend Idea")
def get_valid_prompt(text: str) -> str:
dot_split = text.split('.')[0]
n_split = text.split('\n')[0]
return {
len(dot_split) < len(n_split): dot_split,
len(n_split) > len(dot_split): n_split,
len(n_split) == len(dot_split): dot_split
}[True]
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])
see_prompts.click(text_it1,inputs=[input_text],outputs=magic1)
#see_prompts.click(magic1=get_valid_prompt(pipe(input_text.value, max_length=77)[0]['generated_text']))
myface.queue(concurrency_count=200)
myface.launch(inline=True, show_api=False, max_threads=400) |