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import gradio as gr
import os
import sys
from pathlib import Path
import numpy as np
from PIL import Image
models = [
{"name": "❤ STABLE DIFFUSION MODELS ==========", "url": "stabilityai/stable-diffusion-2-1"},
{"name": "SD ComVis 1.2","url": "CompVis/stable-diffusion-v1-2"},
{"name": "SD Comvis 1.4","url": "CompVis/stable-diffusion-v1-4"},
{"name": "SD runawayml 1.5","url": "runwayml/stable-diffusion-v1-5"},
{"name": "SD stable-diffusion xl base 1.0","url": "stabilityai/stable-diffusion-xl-base-1.0"},
{"name": "SD Dreamshaper-Anime","url": "Lykon/DreamShaper"},
{"name": "Dreamlike Anime","url": "dreamlike-art/dreamlike-photoreal-2.0"},
{"name": "❤ REALISTIC PHOTO MODELS ==========", "url": "dreamlike-art/dreamlike-photoreal-2.0"},
{"name": "AmiIReal", "url": "stablediffusionapi/amireal"},
{"name": "Analog Diffusion", "url": "wavymulder/Analog-Diffusion"},
{"name": "Circulus 2.8", "url": "circulus/sd-photoreal-v2.8"},
{"name": "UltraSkin", "url": "VegaKH/Ultraskin"},
{"name": "Wavyfusion", "url": "wavymulder/wavyfusion"},
{"name": "❤ SEMI-REALISTIC MODELS ==========", "url": "stablediffusionapi/all-526"},
{"name": "All 526", "url": "stablediffusionapi/all-526"},
{"name": "All 526 animated", "url": "stablediffusionapi/all-526-animated"},
{"name": "Circulus Semi Real 2", "url": "circulus/sd-photoreal-semi-v2"},
{"name": "Semi Real Mix", "url": "robotjung/SemiRealMix"},
{"name": "SpyBG", "url": "stablediffusionapi/spybg"},
{"name": "❤ STABLE DIFFUSION MODELS ==========", "url": "stabilityai/stable-diffusion-2-1"},
{"name": "Stable Diffusion 1.4","url": "CompVis/stable-diffusion-v1-4"},
{"name": "Stable Diffusion 1.5","url": "runwayml/stable-diffusion-v1-5"},
{"name": "Stable Diffusion 2.1","url": "stabilityai/stable-diffusion-2-1"},
{"name": "Stable Diffusion 2.1 Base","url": "stabilityai/stable-diffusion-2-1-base"},
{"name": "Stable Diffusion 2.1 Unclip","url": "stabilityai/stable-diffusion-2-1-unclip"},
{"name": "❤ SCI FI MODELS ==========", "url": "nitrosocke/Future-Diffusion"},
{"name": "Future Diffusion", "url": "nitrosocke/Future-Diffusion"},
{"name": "JWST Deep Space Diffusion", "url": "dallinmackay/JWST-Deep-Space-diffusion"},
{"name": "Robo Diffusion 3 Base", "url": "nousr/robo-diffusion-2-base"},
{"name": "Robo Diffusion", "url": "nousr/robo-diffusion"},
{"name": "Tron Legacy Diffusion", "url": "dallinmackay/Tron-Legacy-diffusion"},
{"name": "❤ 3D ART MODELS ==========", "url": "DucHaiten/DucHaitenAIart"},
{"name": "DucHaiten Art", "url": "DucHaiten/DucHaitenAIart"},
{"name": "DucHaiten ClassicAnime", "url": "DucHaiten/DH_ClassicAnime"},
{"name": "DucHaiten DreamWorld", "url": "DucHaiten/DucHaitenDreamWorld"},
{"name": "DucHaiten Journey", "url": "DucHaiten/DucHaitenJourney"},
{"name": "DucHaiten StyleLikeMe", "url": "DucHaiten/DucHaiten-StyleLikeMe"},
{"name": "DucHaiten SuperCute", "url": "DucHaiten/DucHaitenSuperCute"},
{"name": "Redshift Diffusion 768", "url": "nitrosocke/redshift-diffusion-768"},
{"name": "Redshift Diffusion", "url": "nitrosocke/redshift-diffusion"},
]
current_model = models[0]
text_gen = gr.Interface.load("spaces/daspartho/prompt-extend")
models2 = []
for model in models:
model_url = f"models/{model['url']}"
loaded_model = gr.Interface.load(model_url, live=True, preprocess=True)
models2.append(loaded_model)
def text_it(inputs, text_gen=text_gen):
return text_gen(inputs)
def set_model(current_model_index):
global current_model
current_model = models[current_model_index]
return gr.update(value=f"{current_model['name']}")
def send_it(inputs, model_choice):
proc = models2[model_choice]
return proc(inputs)
with gr.Blocks (css ='main.css') as myface:
#gr.HTML(" <div style='font-size: 20px; font-family:verdana; background-color: #042143; color:#FFFFFFF; border:1px solid #FFFFFF; border-radius: 10px; width:40%; width:40%; height: 30px; float: left; text-align:center;'> Your Promt Here</div> <div style='font-size: 20px; font-family:verdana; background-color:#042143; color:#FFFFFFF; border:1px solid #FFFFFF; border-radius: 10px; width:40%; height: 30px; float:right;text-align: center;'> Choose model here </div> " )
with gr.Row():
input_text = gr.Textbox(label=" ",placeholder="1.PROMPT IDEA HERE ! ",lines=4)
# Model selection dropdown
model_name1 = gr.Dropdown(
label="2. Choose Model",
choices=[m["name"] for m in models],
type="index",
value=current_model["name"],
interactive=True,
)
with gr.Row():
see_prompts = gr.Button(" 3. GENERATE YOUR PROMT IDEA HERE!")
run = gr.Button("4. GENERATE THE IMAGE HERE!", varant="primery")
#
with gr.Row():
output1 = gr.Image(label="Generated Image")
output2 = gr.Image(label="Generated Image")
output3 = gr.Image(label="Generated Image")
with gr.Row():
magic1 = gr.Textbox(label="Generated Prompt", lines=2)
magic2 = gr.Textbox(label="Generated Prompt", lines=2)
magic3 = gr.Textbox(label="Generated Prompt", lines=2)
model_name1.change(set_model, inputs=model_name1, outputs=[output1, output2, output3,])
run.click(send_it, inputs=[magic1, model_name1], outputs=[output1])
run.click(send_it, inputs=[magic2, model_name1], outputs=[output2])
run.click(send_it, inputs=[magic3, model_name1], outputs=[output3])
see_prompts.click(text_it, inputs=[input_text], outputs=[magic1])
see_prompts.click(text_it, inputs=[input_text], outputs=[magic2])
see_prompts.click(text_it, inputs=[input_text], outputs=[magic3])
title="Daylight (SD) ",
article="",
myface.queue(concurrency_count=200)
myface.launch(inline=True, max_threads=400) |