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Update app.py
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app.py
CHANGED
@@ -1,235 +1,235 @@
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import gradio as gr
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import os
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import sys
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from pathlib import Path
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from all_models import models
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from externalmod import gr_Interface_load
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from prompt_extend import extend_prompt
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from random import randint
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import asyncio
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from threading import RLock
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lock = RLock()
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HF_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.
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inference_timeout = 300
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MAX_SEED = 2**32-1
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current_model = models[0]
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text_gen1 = extend_prompt
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#text_gen1=gr.Interface.load("spaces/phenomenon1981/MagicPrompt-Stable-Diffusion")
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#text_gen1=gr.Interface.load("spaces/Yntec/prompt-extend")
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#text_gen1=gr.Interface.load("spaces/daspartho/prompt-extend")
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#text_gen1=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link")
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models2 = [gr_Interface_load(f"models/{m}", live=False, preprocess=True, postprocess=False, hf_token=HF_TOKEN) for m in models]
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def text_it1(inputs, text_gen1=text_gen1):
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go_t1 = text_gen1(inputs)
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return(go_t1)
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def set_model(current_model):
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current_model = models[current_model]
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return gr.update(label=(f"{current_model}"))
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def send_it1(inputs, model_choice, neg_input, height, width, steps, cfg, seed): #negative_prompt,
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#proc1 = models2[model_choice]
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#output1 = proc1(inputs)
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output1 = gen_fn(model_choice, inputs, neg_input, height, width, steps, cfg, seed)
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#negative_prompt=negative_prompt
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return (output1)
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# https://huggingface.co/docs/api-inference/detailed_parameters
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# https://huggingface.co/docs/huggingface_hub/package_reference/inference_client
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async def infer(model_index, prompt, nprompt="", height=None, width=None, steps=None, cfg=None, seed=-1, timeout=inference_timeout):
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from pathlib import Path
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kwargs = {}
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if height is not None and height >= 256: kwargs["height"] = height
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if width is not None and width >= 256: kwargs["width"] = width
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if steps is not None and steps >= 1: kwargs["num_inference_steps"] = steps
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if cfg is not None and cfg > 0: cfg = kwargs["guidance_scale"] = cfg
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noise = ""
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if seed >= 0: kwargs["seed"] = seed
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else:
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rand = randint(1, 500)
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for i in range(rand):
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noise += " "
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task = asyncio.create_task(asyncio.to_thread(models2[model_index].fn,
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prompt=f'{prompt} {noise}', negative_prompt=nprompt, **kwargs, token=HF_TOKEN))
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await asyncio.sleep(0)
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try:
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result = await asyncio.wait_for(task, timeout=timeout)
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except (Exception, asyncio.TimeoutError) as e:
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print(e)
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print(f"Task timed out: {models2[model_index]}")
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if not task.done(): task.cancel()
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result = None
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if task.done() and result is not None:
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with lock:
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png_path = "image.png"
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result.save(png_path)
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image = str(Path(png_path).resolve())
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return image
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return None
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def gen_fn(model_index, prompt, nprompt="", height=None, width=None, steps=None, cfg=None, seed=-1):
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try:
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loop = asyncio.new_event_loop()
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result = loop.run_until_complete(infer(model_index, prompt, nprompt,
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height, width, steps, cfg, seed, inference_timeout))
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except (Exception, asyncio.CancelledError) as e:
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print(e)
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print(f"Task aborted: {models2[model_index]}")
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result = None
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finally:
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loop.close()
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return result
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css="""
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#container { max-width: 1200px; margin: 0 auto; !important; }
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.output { width=112px; height=112px; !important; }
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.gallery { width=100%; min_height=768px; !important; }
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.guide { text-align: center; !important; }
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"""
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with gr.Blocks(theme='
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gr.HTML("""
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<div style="text-align: center; max-width: 1200px; margin: 0 auto;">
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<div>
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<style>
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h1 {
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font-size: 6em;
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color: #ffc99f;
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margin-top: 30px;
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margin-bottom: 30px;
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text-shadow: 3px 3px 0 rgba(0, 0, 0, 1) !important;
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}
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h3 {
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color: #ffc99f; !important;
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}
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h4 {
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display: inline-block;
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color: #ffffff !important;
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}
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.wrapper img {
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font-size: 98% !important;
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white-space: nowrap !important;
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text-align: center !important;
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display: inline-block !important;
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color: #ffffff !important;
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}
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.wrapper {
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color: #ffffff !important;
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}
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.gradio-container {
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background-image: linear-gradient(#254150, #1e2f40, #182634) !important;
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color: #ffaa66 !important;
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font-family: 'IBM Plex Sans', sans-serif !important;
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}
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.text-gray-500 {
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color: #ffc99f !important;
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}
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.gr-box {
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background-image: linear-gradient(#182634, #1e2f40, #254150) !important;
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border-top-color: #000000 !important;
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border-right-color: #ffffff !important;
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border-bottom-color: #ffffff !important;
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border-left-color: #000000 !important;
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}
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.gr-input {
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color: #ffc99f; !important;
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background-color: #254150 !important;
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}
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:root {
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--neutral-100: #000000 !important;
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}
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</style>
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<body>
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<div class="center"><h1>Blitz Diffusion</h1>
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</div>
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</body>
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</div>
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<p style="margin-bottom: 1px; color: #ffaa66;">
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<h3>899 Stable Diffusion models, but why? For your enjoyment!</h3></p>
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<br><div class="wrapper">9.3 <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! 25 new models since last update!</div>
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<p style="margin-bottom: 1px; font-size: 98%">
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<br><h4>If a model is already loaded each new image takes less than <b>10</b> seconds to generate!</h4></p>
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<p style="margin-bottom: 1px; color: #ffffff;">
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<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>!
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</p></p>
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</div>
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""")
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with gr.Row():
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with gr.Column(scale=100):
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#Model selection dropdown
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model_name1 = gr.Dropdown(label="Select Model", choices=[m for m in models], type="index", value=current_model, interactive=True)
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with gr.Row():
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with gr.Column(scale=100):
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with gr.Group():
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magic1 = gr.Textbox(label="Your Prompt", lines=4) #Positive
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with gr.Accordion("Advanced", open=False, visible=True):
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neg_input = gr.Textbox(label='Negative prompt:', lines=1)
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with gr.Row():
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width = gr.Number(label="Width", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
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height = gr.Number(label="Height", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
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with gr.Row():
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steps = gr.Number(label="Number of inference steps", info="If 0, the default value is used.", maximum=100, step=1, value=0)
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cfg = gr.Number(label="Guidance scale", info="If 0, the default value is used.", maximum=30.0, step=0.1, value=0)
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seed = gr.Slider(label="Seed", info="Randomize Seed if -1.", minimum=-1, maximum=MAX_SEED, step=1, value=-1)
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#with gr.Column(scale=100):
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#negative_prompt=gr.Textbox(label="Negative Prompt", lines=1)
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gr.HTML("""<style> .gr-button {
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color: #ffffff !important;
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text-shadow: 1px 1px 0 rgba(0, 0, 0, 1) !important;
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background-image: linear-gradient(#76635a, #d2a489) !important;
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border-radius: 24px !important;
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border: solid 1px !important;
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border-top-color: #ffc99f !important;
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border-right-color: #000000 !important;
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border-bottom-color: #000000 !important;
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border-left-color: #ffc99f !important;
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padding: 6px 30px;
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}
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.gr-button:active {
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color: #ffc99f !important;
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font-size: 98% !important;
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text-shadow: 0px 0px 0 rgba(0, 0, 0, 1) !important;
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background-image: linear-gradient(#d2a489, #76635a) !important;
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border-top-color: #000000 !important;
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border-right-color: #ffffff !important;
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border-bottom-color: #ffffff !important;
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border-left-color: #000000 !important;
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}
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.gr-button:hover {
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filter: brightness(130%);
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}
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</style>""")
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run = gr.Button("Generate Image")
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with gr.Row():
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with gr.Column():
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output1 = gr.Image(label=(f"{current_model}"), show_download_button=True, elem_classes="output",
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interactive=False, show_share_button=False, format=".png")
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with gr.Row():
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with gr.Column(scale=50):
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input_text=gr.Textbox(label="Use this box to extend an idea automagically, by typing some words and clicking Extend Idea", lines=2)
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see_prompts=gr.Button("Extend Idea -> overwrite the contents of the `Your Prompt´ box above")
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use_short=gr.Button("Copy the contents of this box to the `Your Prompt´ box above")
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def short_prompt(inputs):
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return (inputs)
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model_name1.change(set_model, inputs=model_name1, outputs=[output1])
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#run.click(send_it1, inputs=[magic1, model_name1, neg_input, height, width, steps, cfg, seed], outputs=[output1])
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gr.on(
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triggers=[run.click, magic1.submit],
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fn=send_it1,
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inputs=[magic1, model_name1, neg_input, height, width, steps, cfg, seed],
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outputs=[output1],
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)
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use_short.click(short_prompt, inputs=[input_text], outputs=magic1)
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see_prompts.click(text_it1, inputs=[input_text], outputs=magic1)
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myface.queue(default_concurrency_limit=200, max_size=200)
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myface.launch(show_api=False, max_threads=400)
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import gradio as gr
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import os
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import sys
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from pathlib import Path
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from all_models import models
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from externalmod import gr_Interface_load
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from prompt_extend import extend_prompt
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from random import randint
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import asyncio
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from threading import RLock
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lock = RLock()
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HF_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.
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inference_timeout = 300
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MAX_SEED = 2**32-1
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current_model = models[0]
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text_gen1 = extend_prompt
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#text_gen1=gr.Interface.load("spaces/phenomenon1981/MagicPrompt-Stable-Diffusion")
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#text_gen1=gr.Interface.load("spaces/Yntec/prompt-extend")
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#text_gen1=gr.Interface.load("spaces/daspartho/prompt-extend")
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#text_gen1=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link")
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models2 = [gr_Interface_load(f"models/{m}", live=False, preprocess=True, postprocess=False, hf_token=HF_TOKEN) for m in models]
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def text_it1(inputs, text_gen1=text_gen1):
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go_t1 = text_gen1(inputs)
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return(go_t1)
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def set_model(current_model):
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current_model = models[current_model]
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return gr.update(label=(f"{current_model}"))
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def send_it1(inputs, model_choice, neg_input, height, width, steps, cfg, seed): #negative_prompt,
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#proc1 = models2[model_choice]
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#output1 = proc1(inputs)
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output1 = gen_fn(model_choice, inputs, neg_input, height, width, steps, cfg, seed)
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#negative_prompt=negative_prompt
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return (output1)
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# https://huggingface.co/docs/api-inference/detailed_parameters
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# https://huggingface.co/docs/huggingface_hub/package_reference/inference_client
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async def infer(model_index, prompt, nprompt="", height=None, width=None, steps=None, cfg=None, seed=-1, timeout=inference_timeout):
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from pathlib import Path
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kwargs = {}
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if height is not None and height >= 256: kwargs["height"] = height
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if width is not None and width >= 256: kwargs["width"] = width
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if steps is not None and steps >= 1: kwargs["num_inference_steps"] = steps
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if cfg is not None and cfg > 0: cfg = kwargs["guidance_scale"] = cfg
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noise = ""
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if seed >= 0: kwargs["seed"] = seed
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else:
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rand = randint(1, 500)
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for i in range(rand):
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noise += " "
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task = asyncio.create_task(asyncio.to_thread(models2[model_index].fn,
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prompt=f'{prompt} {noise}', negative_prompt=nprompt, **kwargs, token=HF_TOKEN))
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await asyncio.sleep(0)
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try:
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result = await asyncio.wait_for(task, timeout=timeout)
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except (Exception, asyncio.TimeoutError) as e:
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print(e)
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print(f"Task timed out: {models2[model_index]}")
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if not task.done(): task.cancel()
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result = None
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if task.done() and result is not None:
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with lock:
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png_path = "image.png"
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result.save(png_path)
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image = str(Path(png_path).resolve())
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return image
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return None
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def gen_fn(model_index, prompt, nprompt="", height=None, width=None, steps=None, cfg=None, seed=-1):
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try:
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loop = asyncio.new_event_loop()
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result = loop.run_until_complete(infer(model_index, prompt, nprompt,
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height, width, steps, cfg, seed, inference_timeout))
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except (Exception, asyncio.CancelledError) as e:
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print(e)
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print(f"Task aborted: {models2[model_index]}")
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result = None
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finally:
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loop.close()
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return result
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css="""
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#container { max-width: 1200px; margin: 0 auto; !important; }
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.output { width=112px; height=112px; !important; }
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.gallery { width=100%; min_height=768px; !important; }
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.guide { text-align: center; !important; }
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"""
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with gr.Blocks(theme='Hev832/Applio', fill_width=True) as myface:
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gr.HTML("""
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<div style="text-align: center; max-width: 1200px; margin: 0 auto;">
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<div>
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<style>
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h1 {
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font-size: 6em;
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color: #ffc99f;
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margin-top: 30px;
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margin-bottom: 30px;
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text-shadow: 3px 3px 0 rgba(0, 0, 0, 1) !important;
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}
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h3 {
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color: #ffc99f; !important;
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}
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h4 {
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display: inline-block;
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color: #ffffff !important;
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}
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.wrapper img {
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font-size: 98% !important;
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white-space: nowrap !important;
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115 |
+
text-align: center !important;
|
116 |
+
display: inline-block !important;
|
117 |
+
color: #ffffff !important;
|
118 |
+
}
|
119 |
+
.wrapper {
|
120 |
+
color: #ffffff !important;
|
121 |
+
}
|
122 |
+
.gradio-container {
|
123 |
+
background-image: linear-gradient(#254150, #1e2f40, #182634) !important;
|
124 |
+
color: #ffaa66 !important;
|
125 |
+
font-family: 'IBM Plex Sans', sans-serif !important;
|
126 |
+
}
|
127 |
+
.text-gray-500 {
|
128 |
+
color: #ffc99f !important;
|
129 |
+
}
|
130 |
+
.gr-box {
|
131 |
+
background-image: linear-gradient(#182634, #1e2f40, #254150) !important;
|
132 |
+
border-top-color: #000000 !important;
|
133 |
+
border-right-color: #ffffff !important;
|
134 |
+
border-bottom-color: #ffffff !important;
|
135 |
+
border-left-color: #000000 !important;
|
136 |
+
}
|
137 |
+
.gr-input {
|
138 |
+
color: #ffc99f; !important;
|
139 |
+
background-color: #254150 !important;
|
140 |
+
}
|
141 |
+
:root {
|
142 |
+
--neutral-100: #000000 !important;
|
143 |
+
}
|
144 |
+
</style>
|
145 |
+
<body>
|
146 |
+
<div class="center"><h1>Blitz Diffusion</h1>
|
147 |
+
</div>
|
148 |
+
</body>
|
149 |
+
</div>
|
150 |
+
<p style="margin-bottom: 1px; color: #ffaa66;">
|
151 |
+
<h3>899 Stable Diffusion models, but why? For your enjoyment!</h3></p>
|
152 |
+
<br><div class="wrapper">9.3 <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! 25 new models since last update!</div>
|
153 |
+
<p style="margin-bottom: 1px; font-size: 98%">
|
154 |
+
<br><h4>If a model is already loaded each new image takes less than <b>10</b> seconds to generate!</h4></p>
|
155 |
+
<p style="margin-bottom: 1px; color: #ffffff;">
|
156 |
+
<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>!
|
157 |
+
</p></p>
|
158 |
+
</div>
|
159 |
+
""")
|
160 |
+
with gr.Row():
|
161 |
+
with gr.Column(scale=100):
|
162 |
+
#Model selection dropdown
|
163 |
+
model_name1 = gr.Dropdown(label="Select Model", choices=[m for m in models], type="index", value=current_model, interactive=True)
|
164 |
+
with gr.Row():
|
165 |
+
with gr.Column(scale=100):
|
166 |
+
with gr.Group():
|
167 |
+
magic1 = gr.Textbox(label="Your Prompt", lines=4) #Positive
|
168 |
+
with gr.Accordion("Advanced", open=False, visible=True):
|
169 |
+
neg_input = gr.Textbox(label='Negative prompt:', lines=1)
|
170 |
+
with gr.Row():
|
171 |
+
width = gr.Number(label="Width", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
|
172 |
+
height = gr.Number(label="Height", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
|
173 |
+
with gr.Row():
|
174 |
+
steps = gr.Number(label="Number of inference steps", info="If 0, the default value is used.", maximum=100, step=1, value=0)
|
175 |
+
cfg = gr.Number(label="Guidance scale", info="If 0, the default value is used.", maximum=30.0, step=0.1, value=0)
|
176 |
+
seed = gr.Slider(label="Seed", info="Randomize Seed if -1.", minimum=-1, maximum=MAX_SEED, step=1, value=-1)
|
177 |
+
#with gr.Column(scale=100):
|
178 |
+
#negative_prompt=gr.Textbox(label="Negative Prompt", lines=1)
|
179 |
+
gr.HTML("""<style> .gr-button {
|
180 |
+
color: #ffffff !important;
|
181 |
+
text-shadow: 1px 1px 0 rgba(0, 0, 0, 1) !important;
|
182 |
+
background-image: linear-gradient(#76635a, #d2a489) !important;
|
183 |
+
border-radius: 24px !important;
|
184 |
+
border: solid 1px !important;
|
185 |
+
border-top-color: #ffc99f !important;
|
186 |
+
border-right-color: #000000 !important;
|
187 |
+
border-bottom-color: #000000 !important;
|
188 |
+
border-left-color: #ffc99f !important;
|
189 |
+
padding: 6px 30px;
|
190 |
+
}
|
191 |
+
.gr-button:active {
|
192 |
+
color: #ffc99f !important;
|
193 |
+
font-size: 98% !important;
|
194 |
+
text-shadow: 0px 0px 0 rgba(0, 0, 0, 1) !important;
|
195 |
+
background-image: linear-gradient(#d2a489, #76635a) !important;
|
196 |
+
border-top-color: #000000 !important;
|
197 |
+
border-right-color: #ffffff !important;
|
198 |
+
border-bottom-color: #ffffff !important;
|
199 |
+
border-left-color: #000000 !important;
|
200 |
+
}
|
201 |
+
.gr-button:hover {
|
202 |
+
filter: brightness(130%);
|
203 |
+
}
|
204 |
+
</style>""")
|
205 |
+
run = gr.Button("Generate Image")
|
206 |
+
with gr.Row():
|
207 |
+
with gr.Column():
|
208 |
+
output1 = gr.Image(label=(f"{current_model}"), show_download_button=True, elem_classes="output",
|
209 |
+
interactive=False, show_share_button=False, format=".png")
|
210 |
+
|
211 |
+
with gr.Row():
|
212 |
+
with gr.Column(scale=50):
|
213 |
+
input_text=gr.Textbox(label="Use this box to extend an idea automagically, by typing some words and clicking Extend Idea", lines=2)
|
214 |
+
see_prompts=gr.Button("Extend Idea -> overwrite the contents of the `Your Prompt´ box above")
|
215 |
+
use_short=gr.Button("Copy the contents of this box to the `Your Prompt´ box above")
|
216 |
+
def short_prompt(inputs):
|
217 |
+
return (inputs)
|
218 |
+
|
219 |
+
model_name1.change(set_model, inputs=model_name1, outputs=[output1])
|
220 |
+
|
221 |
+
#run.click(send_it1, inputs=[magic1, model_name1, neg_input, height, width, steps, cfg, seed], outputs=[output1])
|
222 |
+
|
223 |
+
gr.on(
|
224 |
+
triggers=[run.click, magic1.submit],
|
225 |
+
fn=send_it1,
|
226 |
+
inputs=[magic1, model_name1, neg_input, height, width, steps, cfg, seed],
|
227 |
+
outputs=[output1],
|
228 |
+
)
|
229 |
+
|
230 |
+
use_short.click(short_prompt, inputs=[input_text], outputs=magic1)
|
231 |
+
|
232 |
+
see_prompts.click(text_it1, inputs=[input_text], outputs=magic1)
|
233 |
+
|
234 |
+
myface.queue(default_concurrency_limit=200, max_size=200)
|
235 |
+
myface.launch(show_api=False, max_threads=400)
|