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| import random | |
| import gradio as gr | |
| from datasets import load_dataset | |
| from PIL import Image | |
| from model import get_sd_small, get_sd_tiny, get_sd_every | |
| 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 EulerDiscreteScheduler, DDIMScheduler, KDPM2AncestralDiscreteScheduler, \ | |
| UniPCMultistepScheduler, DPMSolverSinglestepScheduler, DEISMultistepScheduler, PNDMScheduler, \ | |
| DPMSolverMultistepScheduler, HeunDiscreteScheduler, EulerAncestralDiscreteScheduler, DDPMScheduler, \ | |
| LMSDiscreteScheduler, KDPM2DiscreteScheduler | |
| import torch | |
| import base64 | |
| from io import BytesIO | |
| 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() | |
| tiny_pipe = get_sd_tiny() | |
| small_pipe = get_sd_small() | |
| every_pipe = get_sd_every() | |
| def get_pipe(width: int, height: int): | |
| if width == 512 and height == 512: | |
| return tiny_pipe | |
| elif width == 256 and height == 256: | |
| return small_pipe | |
| else: | |
| return every_pipe | |
| 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) | |
| pipeline = get_pipe(width, height) | |
| images = [] | |
| if torch.cuda.is_available(): | |
| generator = torch.Generator(device="cuda").manual_seed(seed) | |
| else: | |
| generator = None | |
| if sampler == "EulerDiscrete": | |
| pipeline.scheduler = EulerDiscreteScheduler.from_config(pipeline.scheduler.config) | |
| elif sampler == "EulerAncestralDiscrete": | |
| pipeline.scheduler = EulerAncestralDiscreteScheduler.from_config(pipeline.scheduler.config) | |
| elif sampler == "KDPM2Discrete": | |
| pipeline.scheduler = KDPM2DiscreteScheduler.from_config(pipeline.scheduler.config) | |
| elif sampler == "KDPM2AncestralDiscrete": | |
| pipeline.scheduler = KDPM2AncestralDiscreteScheduler.from_config(pipeline.scheduler.config) | |
| elif sampler == "UniPCMultistep": | |
| pipeline.scheduler = UniPCMultistepScheduler.from_config(pipeline.scheduler.config) | |
| elif sampler == "DPMSolverSinglestep": | |
| pipeline.scheduler = DPMSolverSinglestepScheduler.from_config(pipeline.scheduler.config) | |
| elif sampler == "DPMSolverMultistep": | |
| pipeline.scheduler = DPMSolverMultistepScheduler.from_config(pipeline.scheduler.config) | |
| elif sampler == "HeunDiscrete": | |
| pipeline.scheduler = HeunDiscreteScheduler.from_config(pipeline.scheduler.config) | |
| elif sampler == "DEISMultistep": | |
| pipeline.scheduler = DEISMultistepScheduler.from_config(pipeline.scheduler.config) | |
| elif sampler == "PNDM": | |
| pipeline.scheduler = PNDMScheduler.from_config(pipeline.scheduler.config) | |
| elif sampler == "DDPM": | |
| pipeline.scheduler = DDPMScheduler.from_config(pipeline.scheduler.config) | |
| elif sampler == "DDIM": | |
| pipeline.scheduler = DDIMScheduler.from_config(pipeline.scheduler.config) | |
| elif sampler == "LMSDiscrete": | |
| pipeline.scheduler = LMSDiscreteScheduler.from_config(pipeline.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 = pipeline(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: 1130px; | |
| margin: auto; | |
| padding-top: 1.5rem; | |
| } | |
| #prompt-column { | |
| min-height: 520px | |
| } | |
| #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. <br /> | |
| Click <strong>Generate image</strong> Button to generate image. <br /> | |
| Also Change params to have a try <br /> | |
| 512*512 is optimized, every image will cost 30s. <br /> | |
| other size may cost more time. <br /> | |
| It's just a simplified demo, you can use more advanced features optimize image quality <br /> | |
| </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(elem_id="prompt-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").style(height="100"): | |
| 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=5, | |
| 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, | |
| ) | |