NativeAngels/blitz_diffusion
1
1import gradio as gr2import os3from all_models import models4from externalmod import gr_Interface_load, save_image, randomize_seed5from prompt_extend import extend_prompt6import asyncio7from threading import RLock8lock = RLock()9HF_TOKEN = os.environ.get("HF_TOKEN") if os.environ.get("HF_TOKEN") else None # If private or gated models aren't used, ENV setting is unnecessary.10 11inference_timeout = 60012MAX_SEED = 2**32-113current_model = models[0]14text_gen1 = extend_prompt15 16models2 = [gr_Interface_load(f"models/{m}", live=False, preprocess=True, postprocess=False, hf_token=HF_TOKEN) for m in models]17 18def text_it1(inputs, text_gen1=text_gen1):19 go_t1 = text_gen1(inputs)20 return(go_t1)21 22def set_model(current_model):23 current_model = models[current_model]24 return gr.update(label=(f"{current_model}"))25 26def send_it1(inputs, model_choice, neg_input, height, width, steps, cfg, seed):27 output1 = gen_fn(model_choice, inputs, neg_input, height, width, steps, cfg, seed)28 return (output1)29 30# https://huggingface.co/docs/api-inference/detailed_parameters31# https://huggingface.co/docs/huggingface_hub/package_reference/inference_client32async def infer(model_index, prompt, nprompt="", height=0, width=0, steps=0, cfg=0, seed=-1, timeout=inference_timeout):33 kwargs = {}34 if height > 0: kwargs["height"] = height35 if width > 0: kwargs["width"] = width36 if steps > 0: kwargs["num_inference_steps"] = steps37 if cfg > 0: cfg = kwargs["guidance_scale"] = cfg38 if seed == -1: kwargs["seed"] = randomize_seed()39 else: kwargs["seed"] = seed40 task = asyncio.create_task(asyncio.to_thread(models2[model_index].fn,41 prompt=prompt, negative_prompt=nprompt, **kwargs, token=HF_TOKEN))42 await asyncio.sleep(0)43 try:44 result = await asyncio.wait_for(task, timeout=timeout)45 except asyncio.TimeoutError as e:46 print(e)47 print(f"Task timed out: {models[model_index]}")48 if not task.done(): task.cancel()49 result = None50 raise Exception(f"Task timed out: {models[model_index]}") from e51 except Exception as e:52 print(e)53 if not task.done(): task.cancel()54 result = None55 raise Exception() from e56 if task.done() and result is not None and not isinstance(result, tuple):57 with lock:58 png_path = "image.png"59 image = save_image(result, png_path, models[model_index], prompt, nprompt, height, width, steps, cfg, seed)60 return image61 return None62 63def gen_fn(model_index, prompt, nprompt="", height=0, width=0, steps=0, cfg=0, seed=-1):64 try:65 loop = asyncio.new_event_loop()66 result = loop.run_until_complete(infer(model_index, prompt, nprompt,67 height, width, steps, cfg, seed, inference_timeout))68 except (Exception, asyncio.CancelledError) as e:69 print(e)70 print(f"Task aborted: {models[model_index]}")71 result = None72 raise gr.Error(f"Task aborted: {models[model_index]}, Error: {e}")73 finally:74 loop.close()75 return result76 77css="""78.gradio-container {background-image: linear-gradient(#254150, #1e2f40, #182634) !important;79 color: #ffaa66 !important; font-family: 'IBM Plex Sans', sans-serif !important;}80h1 {font-size: 6em; color: #ffc99f; margin-top: 30px; margin-bottom: 30px;81 text-shadow: 3px 3px 0 rgba(0, 0, 0, 1) !important;}82h3 {color: #ffc99f; !important;}83h4 {display: inline-block; color: #ffffff !important;}84.wrapper img {font-size: 98% !important; white-space: nowrap !important; text-align: center !important;85display: inline-block !important; color: #ffffff !important;}86.wrapper {color: #ffffff !important;}87.gr-box {background-image: linear-gradient(#182634, #1e2f40, #254150) !important;88 border-top-color: #000000 !important; border-right-color: #ffffff !important;89 border-bottom-color: #ffffff !important; border-left-color: #000000 !important;}90"""91 92with gr.Blocks(theme='John6666/YntecDark', fill_width=True, css=css) as myface:93 gr.HTML(f"""94 <div style="text-align: center; max-width: 1200px; margin: 0 auto;">95 <div class="center"><h1>Blitz Diffusion</h1></div>96 <p style="margin-bottom: 1px; color: #ffaa66;">97 <h3>{int(len(models))} Stable Diffusion models, but why? For your enjoyment!</h3></p>98 <br><div class="wrapper">11.21 <img src="https://huggingface.co/Yntec/DucHaitenLofi/resolve/main/NEW.webp" alt="NEW!" style="width:32px;height:16px;">This has become a legacy backup copy of old <u><a href="https://huggingface.co/spaces/Yntec/ToyWorld">ToyWorld</a></u>'s UI! Newer models added dailty over there! 10 new models since last update!</div>99 <p style="margin-bottom: 1px; font-size: 98%">100 <br><h4>If a model is already loaded each new image takes less than <b>10</b> seconds to generate!</h4></p>101 <p style="margin-bottom: 1px; color: #ffffff;">102 <br><div class="wrapper">Generate 6 images from 1 prompt at the <u><a href="https://huggingface.co/spaces/Yntec/PrintingPress">PrintingPress</a></u>, and use 6 different models at <u><a href="https://huggingface.co/spaces/Yntec/diffusion80xx">Huggingface Diffusion!</a></u>!103 </p></p></div>104 """, elem_classes="gr-box")105 with gr.Row():106 with gr.Column(scale=100):107 # Model selection dropdown108 model_name1 = gr.Dropdown(label="Select Model", choices=[m for m in models], type="index",109 value=current_model, interactive=True, elem_classes=["gr-box", "gr-input"])110 with gr.Row():111 with gr.Column(scale=100):112 with gr.Group():113 magic1 = gr.Textbox(label="Your Prompt", lines=4, elem_classes=["gr-box", "gr-input"]) #Positive114 with gr.Accordion("Advanced", open=False, visible=True):115 neg_input = gr.Textbox(label='Negative prompt', lines=1, elem_classes=["gr-box", "gr-input"])116 with gr.Row():117 width = gr.Slider(label="Width", info="If 0, the default value is used.", maximum=1216, step=32, value=0, elem_classes=["gr-box", "gr-input"])118 height = gr.Slider(label="Height", info="If 0, the default value is used.", maximum=1216, step=32, value=0, elem_classes=["gr-box", "gr-input"])119 with gr.Row():120 steps = gr.Slider(label="Number of inference steps", info="If 0, the default value is used.", maximum=33, step=1, value=0, elem_classes=["gr-box", "gr-input"])121 cfg = gr.Slider(label="Guidance scale", info="If 0, the default value is used.", maximum=30.0, step=0.1, value=-1, elem_classes=["gr-box", "gr-input"])122 seed = gr.Slider(label="Seed", info="Randomize Seed if -1.", minimum=-1, maximum=MAX_SEED, step=1, value=-1, elem_classes=["gr-box", "gr-input"])123 seed_rand = gr.Button("Randomize Seed 🎲", size="sm", variant="secondary")124 run = gr.Button("Generate Image", variant="primary", elem_classes="gr-button")125 126 with gr.Row():127 with gr.Column():128 output1 = gr.Image(label=(f"{current_model}"), show_download_button=True,129 interactive=False, show_share_button=False, format=".png", elem_classes="gr-box")130 131 with gr.Row():132 with gr.Column(scale=50):133 input_text=gr.Textbox(label="Use this box to extend an idea automagically, by typing some words and clicking Extend Idea", lines=2, elem_classes=["gr-box", "gr-input"])134 see_prompts=gr.Button("Extend Idea -> overwrite the contents of the `Your Prompt´ box above", variant="primary", elem_classes="gr-button")135 use_short=gr.Button("Copy the contents of this box to the `Your Prompt´ box above", variant="primary", elem_classes="gr-button")136 def short_prompt(inputs):137 return (inputs)138 139 model_name1.change(set_model, inputs=model_name1, outputs=[output1])140 gr.on(141 triggers=[run.click, magic1.submit],142 fn=send_it1,143 inputs=[magic1, model_name1, neg_input, height, width, steps, cfg, seed],144 outputs=[output1],145 concurrency_limit=None,146 queue=False,147 )148 use_short.click(short_prompt, inputs=[input_text], outputs=magic1)149 see_prompts.click(text_it1, inputs=[input_text], outputs=magic1)150 seed_rand.click(randomize_seed, None, [seed], queue=False)151 152myface.queue(default_concurrency_limit=200, max_size=200)153myface.launch(show_api=False, max_threads=400)154# https://github.com/gradio-app/gradio/issues/6339