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| import os | |
| import cv2 | |
| import sys | |
| import time | |
| import uuid as bandaid | |
| import tarfile | |
| import gradio as gr | |
| from pathlib import Path | |
| from PIL import Image | |
| models = [ | |
| "johnslegers/epic-diffusion-v1.1", | |
| "andite/anything-v4.0", | |
| "runwayml/stable-diffusion-v1-5", | |
| "claudfuen/photorealistic-fuen-v1", | |
| "naclbit/trinart_stable_diffusion_v2", | |
| "nitrosocke/Arcane-Diffusion", | |
| "nitrosocke/archer-diffusion", | |
| "nitrosocke/elden-ring-diffusion", | |
| "nitrosocke/redshift-diffusion", | |
| "nitrosocke/spider-verse-diffusion", | |
| "nitrosocke/mo-di-diffusion", | |
| "nitrosocke/classic-anim-diffusion", | |
| "dreamlike-art/dreamlike-diffusion-1.0", | |
| "dreamlike-art/dreamlike-photoreal-2.0", | |
| "wavymulder/wavyfusion", | |
| "wavymulder/Analog-Diffusion", | |
| "prompthero/midjourney-v4-diffusion", | |
| "prompthero/openjourney", | |
| "dallinmackay/Van-Gogh-diffusion", | |
| "hakurei/waifu-diffusion", | |
| "DGSpitzer/Cyberpunk-Anime-Diffusion", | |
| "Fictiverse/Stable_Diffusion_BalloonArt_Model", | |
| "dallinmackay/Tron-Legacy-diffusion", | |
| "AstraliteHeart/pony-diffusion", | |
| "nousr/robo-diffusion", | |
| "CompVis/stable-diffusion-v1-4", | |
| ] | |
| current_model = models[0] | |
| text_gen1=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link") | |
| text_gen2=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link") | |
| text_gen3=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link") | |
| text_gen4=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link") | |
| text_gen5=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link") | |
| text_gen6=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link") | |
| text_gen7=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link") | |
| text_gen8=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link") | |
| models2=[ | |
| gr.Interface.load(f"models/{models[0]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[1]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[2]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[3]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[4]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[5]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[6]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[7]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[8]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[9]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[10]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[11]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[12]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[13]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[14]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[15]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[16]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[17]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[18]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[19]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[20]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[21]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[22]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[23]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[24]}",live=True,preprocess=True), | |
| gr.Interface.load(f"models/{models[25]}",live=True,preprocess=True), | |
| ] | |
| def text_it(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}")),gr.update(label=(f"{current_model}")),gr.update(label=(f"{current_model}")),gr.update(label=(f"{current_model}")),gr.update(label=(f"{current_model}")),gr.update(label=(f"{current_model}")),gr.update(label=(f"{current_model}")),gr.update(label=(f"{current_model}")), | |
| def prime_the_thing(): | |
| #timestr = time.strftime("%Y%m%d-%H%M%S") | |
| timestr = bandaid.uuid4() | |
| if not os.path.exists(f'./frames{timestr}'): | |
| os.mkdir(f'./frames{timestr}') | |
| global frame_box | |
| global frame_file_box | |
| global frame_tar_box | |
| frame_box=[] | |
| frame_file_box=[] | |
| frame_tar_box=[] | |
| go=1 | |
| return timestr, go | |
| def go_fn(): | |
| num=1 | |
| return num | |
| def the_thing(inputs,input_rand, model_choice,num,top_num,timestr): | |
| if num != 0: | |
| if int(num) <= int(top_num): | |
| #proc1= | |
| inputs=f"{inputs}{input_rand}" | |
| proc1=models2[model_choice] | |
| output=proc1(inputs) | |
| #output_pro=Image.open(output) | |
| output_pro=cv2.imread(output) | |
| cv2.imwrite(f"./frames{timestr}/frame-{num}.png",output_pro) | |
| frame_file_box.append(Path(f"./frames{timestr}/frame-{num}.png")) | |
| frame_box.append(output) | |
| input_rand=f"{input_rand} " | |
| if int(num) < int(top_num): | |
| num=int(num)+1 | |
| elif int(num)==int(top_num): | |
| #frame_tar_box=[] | |
| with tarfile.open(f'frames{timestr}.tar.gz','w:gz') as tar: | |
| tar.add(f"./frames{timestr}",arcname=os.path.basename(f"./frames{timestr}")) | |
| frame_tar_box.append(Path(f'frames{timestr}.tar.gz')) | |
| else: | |
| pass | |
| else: | |
| num=0 | |
| pass | |
| else: | |
| print("ending") | |
| return frame_box,frame_file_box,frame_tar_box,num,input_rand | |
| css="""""" | |
| css=""" | |
| .max-h-\[55vh\]{ | |
| max-height:10vh;!important; | |
| } | |
| """ | |
| with gr.Blocks(css=css) as myface: | |
| with gr.Row(): | |
| with gr.Tab("Title"): | |
| gr.HTML(""" <title>Diffusion Flood</title> | |
| <div style="text-align: center;text-shadow:0px 0px 2px white,0px 0px 5px cornflowerblue;max-width:1500px;margin-top:5px;font-size:50px;height:50px;"> | |
| <h1>Diffusion Flood</h1></div> | |
| <br> | |
| <div style="text-align:center;font-size:30px;margin-bottom:5px;"><h4>Grab a bucket!</h4></div>""") | |
| with gr.Tab("Description"): | |
| gr.HTML("""<div style="text-align:center;"> | |
| <h4>Developing...</h4> | |
| <br><h4>Select how many image you would like returned</h4> | |
| <h4>Enter your Prompt</h4> | |
| <h4>Select a Model (some are fast, others are slow)</h4> | |
| <h4>Send it!</h4> | |
| </div>""") | |
| with gr.Tab("Tools"): | |
| with gr.Tab("View"): | |
| with gr.Row(): | |
| with gr.Column(style="width=50%, height=70%"): | |
| gr.Pil(label="Crop") | |
| with gr.Column(style="width=50%, height=70%"): | |
| gr.Pil(label="Crop") | |
| with gr.Tab("Draw"): | |
| with gr.Column(style="width=50%, height=70%"): | |
| gr.Pil(label="Crop") | |
| with gr.Column(style="width=50%, height=70%"): | |
| gr.Pil(label="Draw") | |
| gr.ImagePaint(label="Draw") | |
| with gr.Tab("Text"): | |
| with gr.Row(): | |
| with gr.Column(scale=50): | |
| gr.Textbox(label="", lines=8, interactive=True) | |
| with gr.Column(scale=50): | |
| gr.Textbox(label="", lines=8, interactive=True) | |
| with gr.Tab("Color Picker"): | |
| with gr.Row(): | |
| with gr.Column(scale=50): | |
| gr.ColorPicker(label="Color", interactive=True) | |
| with gr.Column(scale=50): | |
| gr.ImagePaint(label="Draw", interactive=True) | |
| with gr.Tab("Style"): | |
| style_switch=gr.Radio(["1", "2", "3"]) | |
| style_button=gr.Button("Load Style") | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Row(): | |
| frame_num=gr.Textbox(label="Current",value=0,interactive=False) | |
| time_box=gr.Textbox(label="Time String", interactive=False) | |
| frame_top=gr.Textbox(label="How many images?", value=10) | |
| with gr.Row(): | |
| model_name1 = gr.Dropdown(show_label=False, choices=[m for m in models], type="index", value=current_model, interactive=True) | |
| #magic_text=gr.Textbox(label="Magic Prompt",lines=3) | |
| with gr.Column(): | |
| #use_short=gr.Button("Use Short Prompt") | |
| #see_prompt=gr.Button("Generate Magic Prompt") | |
| magic_text=gr.Textbox(label="Short Prompt",lines=1) | |
| run=gr.Button("Send it!") | |
| with gr.Tab("Bucket"): | |
| with gr.Column(): | |
| with gr.Row(): | |
| with gr.Column(): | |
| frames=gr.Gallery(label="Bucket o' Frames", type="filepath").style(grid=10) | |
| frame_files=gr.Files() | |
| frame_tar=gr.Files() | |
| with gr.Row(): | |
| batch_bot1=gr.Textbox(label="BB1") | |
| start_frame1=gr.Textbox(label="Start Frame") | |
| rand_box=gr.Textbox(value="",visible=False) | |
| go_box=gr.Textbox(value=0,visible=False) | |
| def short_prompt(inputs): | |
| return(inputs) | |
| run.click(prime_the_thing, inputs=[], outputs=[time_box,frame_num]) | |
| go_box.change(go_fn,inputs=[],outputs=[frame_num]) | |
| frame_num.change(the_thing, inputs=[magic_text,rand_box, model_name1, frame_num, frame_top,time_box], outputs=[frames,frame_files,frame_tar,frame_num,rand_box]) | |
| #use_short.click(short_prompt,inputs=[input_text],outputs=magic_text) | |
| #see_prompt.click(text_it,inputs=[input_text],outputs=[magic_text]) | |
| #model_name1.change(set_model,inputs=model_name1,outputs=[output1,output2,output3,output4,output5,output6,output7,output8]) | |
| myface.queue(concurrency_count=200) | |
| myface.launch(enable_queue=True, inline=True, max_threads=200) |