app.py

import random

import gradio as gr
from datasets import load_dataset
from PIL import Image
from trans_google import google_translator

from i18n import i18nTranslator

word_list_dataset = load_dataset("Gustavosta/Stable-Diffusion-Prompts")
word_list = word_list_dataset["train"]['Prompt']

from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler, DDIMScheduler, KDPM2AncestralDiscreteScheduler, \
    UniPCMultistepScheduler, DPMSolverSinglestepScheduler, DEISMultistepScheduler, PNDMScheduler, \
    DPMSolverMultistepScheduler, HeunDiscreteScheduler, EulerAncestralDiscreteScheduler, DDPMScheduler, \
    LMSDiscreteScheduler, KDPM2DiscreteScheduler
import torch
import base64
from io import BytesIO

#
model_id = "stabilityai/stable-diffusion-2-1-base"

scheduler = EulerDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
pipe = StableDiffusionPipeline.from_pretrained(
    model_id,
    scheduler=scheduler,
    # safety_checker=None,
    revision="fp16",
    torch_dtype=torch.float16)

if torch.cuda.is_available():
    pipe = pipe.to('cuda')
is_gpu_busy = False

translator = i18nTranslator()
translator.init(path='locales')
samplers = [
    "EulerDiscrete",
    "EulerAncestralDiscrete",
    "UniPCMultistep",
    "DPMSolverSinglestep",
    "DPMSolverMultistep",
    "KDPM2Discrete",
    "KDPM2AncestralDiscrete",
    "DEISMultistep",
    "HeunDiscrete",
    "PNDM",
    "DDPM",
    "DDIM",
    "LMSDiscrete",
]

rand = random.Random()
translator = google_translator()


def infer(prompt: str, negative: str, width: int, height: int, sampler: str, steps: int, seed: int, scale):
    global is_gpu_busy

    if seed == 0:
        seed = rand.randint(0, 10000)
    else:
        seed = int(seed)

    images = []
    device = "cpu"
    if torch.cuda.is_available():
        device = "cuda"
    generator = torch.Generator(device=device).manual_seed(seed)
    if sampler == "EulerDiscrete":
        pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config)
    elif sampler == "EulerAncestralDiscrete":
        pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
    elif sampler == "KDPM2Discrete":
        pipe.scheduler = KDPM2DiscreteScheduler.from_config(pipe.scheduler.config)
    elif sampler == "KDPM2AncestralDiscrete":
        pipe.scheduler = KDPM2AncestralDiscreteScheduler.from_config(pipe.scheduler.config)
    elif sampler == "UniPCMultistep":
        pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config)
    elif sampler == "DPMSolverSinglestep":
        pipe.scheduler = DPMSolverSinglestepScheduler.from_config(pipe.scheduler.config)
    elif sampler == "DPMSolverMultistep":
        pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
    elif sampler == "HeunDiscrete":
        pipe.scheduler = HeunDiscreteScheduler.from_config(pipe.scheduler.config)
    elif sampler == "DEISMultistep":
        pipe.scheduler = DEISMultistepScheduler.from_config(pipe.scheduler.config)
    elif sampler == "PNDM":
        pipe.scheduler = PNDMScheduler.from_config(pipe.scheduler.config)
    elif sampler == "DDPM":
        pipe.scheduler = DDPMScheduler.from_config(pipe.scheduler.config)
    elif sampler == "DDIM":
        pipe.scheduler = DDIMScheduler.from_config(pipe.scheduler.config)
    elif sampler == "LMSDiscrete":
        pipe.scheduler = LMSDiscreteScheduler.from_config(pipe.scheduler.config)

    try:
        translate_prompt = translator.translate(prompt, lang_tgt='en')
        translate_negative = translator.translate(negative, lang_tgt='en')
    except Exception as ex:
        print(ex)
        translate_prompt = prompt
        translate_negative = negative

    image = pipe(prompt=translate_prompt,
                 negative_prompt=translate_negative,
                 guidance_scale=scale,
                 num_inference_steps=steps,
                 generator=generator,
                 height=height,
                 width=width).images[0]

    buffered = BytesIO()
    image.save(buffered, format="JPEG")
    img_str = base64.b64encode(buffered.getvalue())
    img_base64 = bytes("data:image/jpeg;base64,", encoding='utf-8') + img_str

    images.append(img_base64)

    return images


css = """
        .gradio-container {
            font-family: 'IBM Plex Sans', sans-serif;
        }
        .gr-button {
            color: white;
            border-color: black;
            background: black;
        }
        input[type='range'] {
            accent-color: black;
        }
        .dark input[type='range'] {
            accent-color: #dfdfdf;
        }
        .container {
            max-width: 730px;
            margin: auto;
            padding-top: 1.5rem;
        }
        #gallery {
            min-height: 22rem;
            margin-bottom: 15px;
            margin-left: auto;
            margin-right: auto;
            border-bottom-right-radius: .5rem !important;
            border-bottom-left-radius: .5rem !important;
        }
        #gallery>div>.h-full {
            min-height: 20rem;
        }
        .details:hover {
            text-decoration: underline;
        }
        .gr-button {
            white-space: nowrap;
        }
        .gr-button:focus {
            border-color: rgb(147 197 253 / var(--tw-border-opacity));
            outline: none;
            box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
            --tw-border-opacity: 1;
            --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
            --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);
            --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));
            --tw-ring-opacity: .5;
        }
        #advanced-btn {
            font-size: .7rem !important;
            line-height: 19px;
            margin-top: 12px;
            margin-bottom: 12px;
            padding: 2px 8px;
            border-radius: 14px !important;
        }
        #advanced-options {
            display: none;
            margin-bottom: 20px;
        }
        .footer {
            margin-bottom: 45px;
            margin-top: 35px;
            text-align: center;
            border-bottom: 1px solid #e5e5e5;
        }
        .footer>p {
            font-size: .8rem;
            display: inline-block;
            padding: 0 10px;
            transform: translateY(10px);
            background: white;
        }
        .dark .footer {
            border-color: #303030;
        }
        .dark .footer>p {
            background: #0b0f19;
        }
        .acknowledgments h4{
            margin: 1.25em 0 .25em 0;
            font-weight: bold;
            font-size: 115%;
        }
        .animate-spin {
            animation: spin 1s linear infinite;
        }
        @keyframes spin {
            from {
                transform: rotate(0deg);
            }
            to {
                transform: rotate(360deg);
            }
        }
        #share-btn-container {
            display: flex; padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; width: 13rem;
            margin-top: 10px;
            margin-left: auto;
        }
        #share-btn {
            all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.25rem !important; padding-bottom: 0.25rem !important;right:0;
        }
        #share-btn * {
            all: unset;
        }
        #share-btn-container div:nth-child(-n+2){
            width: auto !important;
            min-height: 0px !important;
        }
        #share-btn-container .wrap {
            display: none !important;
        }
        
        .gr-form{
            flex: 1 1 50%; border-top-right-radius: 0; border-bottom-right-radius: 0;
        }
        #prompt-container{
            gap: 0;
        }
        #prompt-text-input, #negative-prompt-text-input{padding: .45rem 0.625rem}
        #component-16{border-top-width: 1px!important;margin-top: 1em}
        .image_duplication{position: absolute; width: 100px; left: 50px}
        .generate-container {display: flex; justify-content: flex-end;} 
        #generate-btn {background: linear-gradient(to bottom right, #ffedd5, #fdba74)}
"""

block = gr.Blocks(css=css)

# text, negative, width, height, sampler, steps, seed, guidance_scale
# examples = [
#     [
#         'A high tech solarpunk utopia in the Amazon rainforest',
#         'low quality',
#         512,
#         512,
#         'ddim',
#         30,
#         0,
#         9
#     ],
#     [
#         'A pikachu fine dining with a view to the Eiffel Tower',
#         'low quality',
#         512,
#         512,
#         'ddim',
#         30,
#         0,
#         9
#     ],
#     [
#         'A mecha robot in a favela in expressionist style',
#         'low quality, 3d, photorealistic',
#         512,
#         512,
#         'ddim',
#         30,
#         0,
#         9
#     ],
#     [
#         'an insect robot preparing a delicious meal',
#         'low quality, illustration',
#         512,
#         512,
#         'ddim',
#         30,
#         0,
#         9
#     ],
#     [
#         "A small cabin on top of a snowy mountain in the style of Disney, artstation",
#         'low quality, ugly',
#         512,
#         512,
#         'ddim',
#         30,
#         0,
#         9
#     ],
# ]

examples = list(map(lambda x: [
    x,
    'low quality',
    512,
    512,
    'ddim',
    30,
    0,
    9
], word_list))[:500]

with block:
    gr.HTML(
        """
            <div style="text-align: center; margin: 0 auto;">
              <div
                style="
                  display: inline-flex;
                  align-items: center;
                  gap: 0.8rem;
                  font-size: 1.75rem;
                "
              >
                <svg
                  width="0.65em"
                  height="0.65em"
                  viewBox="0 0 115 115"
                  fill="none"
                  xmlns="http://www.w3.org/2000/svg"
                >
                  <rect width="23" height="23" fill="white"></rect>
                  <rect y="69" width="23" height="23" fill="white"></rect>
                  <rect x="23" width="23" height="23" fill="#AEAEAE"></rect>
                  <rect x="23" y="69" width="23" height="23" fill="#AEAEAE"></rect>
                  <rect x="46" width="23" height="23" fill="white"></rect>
                  <rect x="46" y="69" width="23" height="23" fill="white"></rect>
                  <rect x="69" width="23" height="23" fill="black"></rect>
                  <rect x="69" y="69" width="23" height="23" fill="black"></rect>
                  <rect x="92" width="23" height="23" fill="#D9D9D9"></rect>
                  <rect x="92" y="69" width="23" height="23" fill="#AEAEAE"></rect>
                  <rect x="115" y="46" width="23" height="23" fill="white"></rect>
                  <rect x="115" y="115" width="23" height="23" fill="white"></rect>
                  <rect x="115" y="69" width="23" height="23" fill="#D9D9D9"></rect>
                  <rect x="92" y="46" width="23" height="23" fill="#AEAEAE"></rect>
                  <rect x="92" y="115" width="23" height="23" fill="#AEAEAE"></rect>
                  <rect x="92" y="69" width="23" height="23" fill="white"></rect>
                  <rect x="69" y="46" width="23" height="23" fill="white"></rect>
                  <rect x="69" y="115" width="23" height="23" fill="white"></rect>
                  <rect x="69" y="69" width="23" height="23" fill="#D9D9D9"></rect>
                  <rect x="46" y="46" width="23" height="23" fill="black"></rect>
                  <rect x="46" y="115" width="23" height="23" fill="black"></rect>
                  <rect x="46" y="69" width="23" height="23" fill="black"></rect>
                  <rect x="23" y="46" width="23" height="23" fill="#D9D9D9"></rect>
                  <rect x="23" y="115" width="23" height="23" fill="#AEAEAE"></rect>
                  <rect x="23" y="69" width="23" height="23" fill="black"></rect>
                </svg>
                <h1 style="font-weight: 900; margin-bottom: 7px;margin-top:5px">
                  Stable Diffusion 2.1 Demo
                </h1>
              </div>
              <p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;">
                Stable Diffusion 2.1 Demo App.
                Click "Generate image" Button to generate image.
                Also Change params to have a try
              </p>
            </div>
        """
    )
    with gr.Group():
        with gr.Box():
            with gr.Row(elem_id="prompt-container").style(mobile_collapse=False, equal_height=True):
                with gr.Column():
                    text = gr.Textbox(
                        label="Enter your prompt",
                        show_label=False,
                        max_lines=1,
                        placeholder="Enter your prompt",
                        elem_id="prompt-text-input",
                    ).style(
                        border=(True, False, True, True),
                        rounded=(True, False, False, True),
                        container=False,
                    )
                    negative = gr.Textbox(
                        label="Enter your negative prompt",
                        show_label=False,
                        max_lines=1,
                        placeholder="Enter a negative prompt",
                        elem_id="negative-prompt-text-input",
                    ).style(
                        border=(True, False, True, True),
                        rounded=(True, False, False, True),
                        container=False,
                    )
                    with gr.Row(elem_id="txt2img_size", scale=4):
                        width = gr.Slider(minimum=64, maximum=2048, step=8, label="Width", value=512,
                                          elem_id="txt2img_width")
                        height = gr.Slider(minimum=64, maximum=2048, step=8, label="Height", value=512,
                                           elem_id="txt2img_height")

                    with gr.Row(elem_id="txt2img_sampler", scale=4):
                        seed = gr.Number(value=0, label="Seed", elem_id="txt2img_seed")
                        sampler = gr.Dropdown(
                            samplers, value="",
                            multiselect=False,
                            label="Sampler",
                            info="sampler select"
                        )
                        steps = gr.Slider(minimum=1, maximum=80, step=1, elem_id=f"steps", label="Sampling steps",
                                          value=20)

                    with gr.Accordion("Advanced settings", open=False):
                        #    gr.Markdown("Advanced settings are temporarily unavailable")
                        #    samples = gr.Slider(label="Images", minimum=1, maximum=4, value=4, step=1)
                        #    steps = gr.Slider(label="Steps", minimum=1, maximum=50, value=45, step=1)
                        guidance_scale = gr.Slider(
                            label="Guidance Scale", minimum=0, maximum=50, value=9, step=0.1
                        )

                    with gr.Row(elem_id="generate-container", elem_classes="generate-container"):
                        btn = gr.Button("Generate image", elem_id="generate-btn", elem_classes="generate-btn").style(
                            margin=False,
                            rounded=(False, True, True, False),
                            full_width=False,
                        )

                gallery = gr.Gallery(
                    label="Generated images", show_label=False, elem_id="gallery"
                ).style(grid=[2], height="auto")

        # with gr.Group(elem_id="container-advanced-btns"):
        #     # advanced_button = gr.Button("Advanced options", elem_id="advanced-btn")
        #     with gr.Group(elem_id="share-btn-container"):
        #         community_icon = gr.HTML(community_icon_html)
        #         loading_icon = gr.HTML(loading_icon_html)
        #         share_button = gr.Button("Share to community", elem_id="share-btn")

        ex = gr.Examples(examples=examples, fn=infer,
                         inputs=[text, negative, width, height, sampler, steps, seed, guidance_scale],
                         outputs=[gallery],
                         examples_per_page=10,
                         cache_examples=False)
        ex.dataset.headers = [""]
        negative.submit(infer, inputs=[text, negative, width, height, sampler, steps, seed, guidance_scale],
                        outputs=[gallery], postprocess=False)
        text.submit(infer, inputs=[text, negative, width, height, sampler, steps, seed, guidance_scale],
                    outputs=[gallery], postprocess=False)
        btn.click(infer, inputs=[text, negative, width, height, sampler, steps, seed, guidance_scale],
                  outputs=[gallery], postprocess=False)

block.queue(concurrency_count=80,
            max_size=100).launch(
    max_threads=150,
    server_port=6006,
    share=True,
)