Fia/StableDiffusionCPU

1import gradio as gr2 3import torch4from torch import autocast5from diffusers import StableDiffusionPipeline6from datasets import load_dataset7from PIL import Image  8import re9import streamlit as st10 11model_id = "CompVis/stable-diffusion-v1-4"12device = "cpu"13 14#If you are running this code locally, you need to either do a 'huggingface-cli login` or paste your User Access Token from here https://huggingface.co/settings/tokens into the use_auth_token field below. 15pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=st.secrets["AUTH_KEY"], torch_dtype=torch.float32)16def dummy(images, **kwargs): return images, False 17pipe.safety_checker = dummy18 19def infer(prompt, width, height, steps, scale, seed):      20    if seed == -1:	21        images_list = pipe(22            [prompt],23            height=height, 24            width=width,25            num_inference_steps=steps,26            guidance_scale=scale,27            generator=torch.Generator(device=device).manual_seed(seed))28    else:29        images_list = pipe(30            [prompt],31            height=height, 32            width=width,33            num_inference_steps=steps,34            guidance_scale=scale)35 36    return images_list["sample"]37    38css = """39        .gradio-container {40            font-family: 'IBM Plex Sans', sans-serif;41        }42        .gr-button {43            color: white;44            border-color: black;45            background: black;46        }47        input[type='range'] {48            accent-color: black;49        }50        .dark input[type='range'] {51            accent-color: #dfdfdf;52        }53        .container {54            max-width: 730px;55            margin: auto;56            padding-top: 1.5rem;57        }58        #gallery {59            min-height: 22rem;60            margin-bottom: 15px;61            margin-left: auto;62            margin-right: auto;63            border-bottom-right-radius: .5rem !important;64            border-bottom-left-radius: .5rem !important;65        }66        #gallery>div>.h-full {67            min-height: 20rem;68        }69        .details:hover {70            text-decoration: underline;71        }72        .gr-button {73            white-space: nowrap;74        }75        .gr-button:focus {76            border-color: rgb(147 197 253 / var(--tw-border-opacity));77            outline: none;78            box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);79            --tw-border-opacity: 1;80            --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);81            --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);82            --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));83            --tw-ring-opacity: .5;84        }85        .footer {86            margin-bottom: 45px;87            margin-top: 35px;88            text-align: center;89            border-bottom: 1px solid #e5e5e5;90        }91        .footer>p {92            font-size: .8rem;93            display: inline-block;94            padding: 0 10px;95            transform: translateY(10px);96            background: white;97        }98        .dark .footer {99            border-color: #303030;100        }101        .dark .footer>p {102            background: #0b0f19;103        }104        .acknowledgments h4{105            margin: 1.25em 0 .25em 0;106            font-weight: bold;107            font-size: 115%;108        }109"""110 111block = gr.Blocks(css=css)112 113with block:114    gr.HTML(115        """116            <div style="text-align: center; max-width: 650px; margin: 0 auto;">117              <div118                style="119                  display: inline-flex;120                  align-items: center;121                  gap: 0.8rem;122                  font-size: 1.75rem;123                "124              >125                <h1 style="font-weight: 900; margin-bottom: 7px;">126                  Stable Diffusion CPU127                </h1>128              </div>129            </div>130        """131    )132    with gr.Group():133        with gr.Box():134            with gr.Row().style(mobile_collapse=False, equal_height=True):135                text = gr.Textbox(136                    label="Enter your prompt",137                    show_label=False,138                    max_lines=1,139                    placeholder="Enter your prompt",140                ).style(141                    border=(True, False, True, True),142                    rounded=(True, False, False, True),143                    container=False,144                )145                btn = gr.Button("Generate image").style(146                    margin=False,147                    rounded=(False, True, True, False),148                )149 150        gallery = gr.Gallery(151            label="Generated images", show_label=False, elem_id="gallery"152        ).style(grid=[2], height="auto")153 154        with gr.Row().style(mobile_collapse=False, equal_height=True):155            width = gr.Slider(label="Width", minimum=32, maximum=1024, value=512, step=8)156            height = gr.Slider(label="Height", minimum=32, maximum=1024, value=512, step=8)157 158        with gr.Row():159            steps = gr.Slider(label="Steps", minimum=1, maximum=50, value=30, step=1)160            scale = gr.Slider(161                label="Guidance Scale", minimum=0, maximum=50, value=7.5, step=0.1162            )163            seed = gr.Slider(164                label="Seed",165                minimum=-1,166                maximum=2147483647,167                step=1,168                value=-1,169            )170        171        text.submit(infer, inputs=[text, width, height, steps, scale, seed], outputs=gallery)172        btn.click(infer, inputs=[text, width, height, steps, scale, seed], outputs=gallery)173 174block.queue(max_size=10).launch()