import gradio as gr
import os
import sys
from pathlib import Path
models = [
"Yntec/humu",
]
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),
]
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, negative_prompt, model_choice):
proc1=models2[model_choice]
output1=proc1(inputs)
negative_prompt=negative_prompt
return(output1)
css=""""""
with gr.Blocks(css=css) as myface:
gr.HTML("""
Fast Diffusion - 430 Stable Diffusion models for your enjoyment!
The first time you load a model it takes 200 seconds
But after it's loaded each new image takes 20 seconds to generate!
""")
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(scale=100):
magic1=gr.Textbox(label="Positive Prompt", lines=4)
with gr.Column(scale=100):
negative_prompt=gr.Textbox(label="Negative Prompt", lines=1)
gr.HTML("""""")
run=gr.Button("Generate Image")
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 automagically, by typing some words and clicking Extend Idea",lines=2)
use_short=gr.Button("Use Short Prompt")
see_prompts=gr.Button("Extend Idea")
def short_prompt(inputs):
return(inputs)
model_name1.change(set_model,inputs=model_name1,outputs=[output1])
run.click(send_it1, inputs=[magic1, negative_prompt, 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)