apolinario commited on
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1 Parent(s): d1e3269
Files changed (3) hide show
  1. app.py +270 -0
  2. requirements.txt +4 -0
  3. unsafe.png +0 -0
app.py ADDED
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+ import gradio as gr
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+
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+ import torch
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+ from torch import autocast
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+ from diffusers import StableDiffusionPipeline
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+ from datasets import load_dataset
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+ from PIL import Image
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+ import re
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+
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+ model_id = "CompVis/stable-diffusion-v1-4"
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+ device = "cuda"
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+
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+ pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=True, revision="fp16", torch_dtype=torch.float16)
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+ pipe = pipe.to(device)
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+ word_list_dataset = load_dataset("stabilityai/word-list", data_files="list.txt", use_auth_token=True)
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+ word_list = word_list_dataset["train"]['text']
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+
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+ def infer(prompt, samples, steps, scale, seed):
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+ for filter in word_list:
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+ if re.search(rf"\b{filter}\b", prompt):
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+ raise Exception("Unsafe content found. Please try again with different prompts.")
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+
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+ generator = torch.Generator(device=device).manual_seed(seed)
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+ with autocast("cuda"):
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+ images_list = pipe(
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+ [prompt] * samples,
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+ num_inference_steps=steps,
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+ guidance_scale=scale,
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+ generator=generator,
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+ )
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+ images = []
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+ safe_image = Image.open(r"unsafe.png")
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+ for i, image in enumerate(images_list["sample"]):
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+ if(images_list["nsfw_content_detected"][i]):
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+ images.append(safe_image)
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+ else:
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+ images.append(image)
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+ return images
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+
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+
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+ css = """
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+ .gradio-container {
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+ font-family: 'IBM Plex Sans', sans-serif;
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+ }
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+ .gr-button {
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+ color: white;
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+ border-color: black;
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+ background: black;
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+ }
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+ input[type='range'] {
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+ accent-color: black;
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+ }
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+ .dark input[type='range'] {
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+ accent-color: #dfdfdf;
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+ }
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+ .container {
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+ max-width: 1070px;
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+ margin: auto;
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+ padding-top: 2rem;
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+ }
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+ #gallery {
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+ min-height: 22rem;
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+ margin-bottom: 15px;
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+ border-bottom-right-radius: .5rem !important;
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+ border-bottom-left-radius: .5rem !important;
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+ }
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+ #gallery>div>.h-full {
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+ min-height: 20rem;
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+ }
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+ .details:hover {
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+ text-decoration: underline;
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+ }
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+ .gr-button {
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+ white-space: nowrap;
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+ }
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+ .gr-button:focus {
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+ border-color: rgb(147 197 253 / var(--tw-border-opacity));
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+ outline: none;
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+ box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
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+ --tw-border-opacity: 1;
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+ --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
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+ --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);
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+ --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));
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+ --tw-ring-opacity: .5;
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+ }
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+ #advanced-btn {
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+ font-size: .7rem !important;
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+ line-height: 19px;
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+ margin-top: 24px;
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+ margin-bottom: 12px;
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+ padding: 2px 8px;
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+ border-radius: 14px !important;
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+ }
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+ #advanced-options {
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+ display: none;
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+ margin-bottom: 20px;
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+ }
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+ .footer {
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+ margin-bottom: 25px;
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+ text-align: center;
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+ border-bottom: 1px solid #e5e5e5;
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+ }
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+ .footer>p {
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+ font-size: .8rem;
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+ display: inline-block;
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+ padding: 0 10px;
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+ transform: translateY(10px);
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+ background: white;
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+ }
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+ .dark .footer {
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+ border-color: #303030;
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+ }
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+ .dark .footer>p {
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+ background: #0b0f19;
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+ }
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+ .acknowledgments h4{
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+ margin: 1.25em 0 .25em 0;
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+ font-weight: bold;
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+ font-size: 115%;
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+ }
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+ """
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+
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+ block = gr.Blocks(css=css)
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+
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+ examples = [
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+ [
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+ 'A high tech solarpunk utopia in the Amazon rainforest',
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+ 3,
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+ 40,
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+ 7.5,
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+ 1024,
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+ ],
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+ [
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+ 'A pikachu fine dining with a view to the Eiffel Tower',
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+ 3,
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+ 40,
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+ 7,
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+ 1024,
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+ ],
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+ [
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+ 'A mecha robot in a favela in expressionist style',
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+ 3,
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+ 40,
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+ 7,
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+ 1024,
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+ ],
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+ [
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+ 'an insect robot preparing a delicious meal',
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+ 3,
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+ 40,
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+ 7,
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+ 1024,
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+ ],
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+ [
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+ "A small cabin on top of a snowy mountain in the style of disney, arstation",
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+ 3,
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+ 40,
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+ 7,
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+ 1024,
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+ ],
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+ ]
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+
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+ with block:
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+ gr.HTML(
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+ """
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+ <div style="text-align: center;">
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+ <div style="display: inline-flex; align-items: center; gap: .8rem; font-size: 1.75rem;">
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+ <svg width="0.65em" height="0.65em" viewBox="0 0 115 115" fill="none" xmlns="http://www.w3.org/2000/svg">
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+ <rect width="23" height="23" fill="white"/>
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+ <rect y="69" width="23" height="23" fill="white"/>
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+ <rect x="23" width="23" height="23" fill="#AEAEAE"/>
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+ <rect x="23" y="69" width="23" height="23" fill="#AEAEAE"/>
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+ <rect x="46" width="23" height="23" fill="white"/>
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+ <rect x="46" y="69" width="23" height="23" fill="white"/>
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+ <rect x="69" width="23" height="23" fill="black"/>
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+ <rect x="69" y="69" width="23" height="23" fill="black"/>
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+ <rect x="92" width="23" height="23" fill="#D9D9D9"/>
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+ <rect x="92" y="69" width="23" height="23" fill="#AEAEAE"/>
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+ <rect x="115" y="46" width="23" height="23" fill="white"/>
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+ <rect x="115" y="115" width="23" height="23" fill="white"/>
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+ <rect x="115" y="69" width="23" height="23" fill="#D9D9D9"/>
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+ <rect x="92" y="46" width="23" height="23" fill="#AEAEAE"/>
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+ <rect x="92" y="115" width="23" height="23" fill="#AEAEAE"/>
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+ <rect x="92" y="69" width="23" height="23" fill="white"/>
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+ <rect x="69" y="46" width="23" height="23" fill="white"/>
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+ <rect x="69" y="115" width="23" height="23" fill="white"/>
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+ <rect x="69" y="69" width="23" height="23" fill="#D9D9D9"/>
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+ <rect x="46" y="46" width="23" height="23" fill="black"/>
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+ <rect x="46" y="115" width="23" height="23" fill="black"/>
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+ <rect x="46" y="69" width="23" height="23" fill="black"/>
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+ <rect x="23" y="46" width="23" height="23" fill="#D9D9D9"/>
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+ <rect x="23" y="115" width="23" height="23" fill="#AEAEAE"/>
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+ <rect x="23" y="69" width="23" height="23" fill="black"/>
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+ </svg>
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+ <h1 style="font-weight: 900;">Stable Diffusion Spaces</h1>
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+ </div>
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+ <p style="margin-bottom: 20px;">Stable Diffusion is a state of the art text-to-image model that generates images from a text description.</p>
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+ </div>
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+ """
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+ )
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+ with gr.Group():
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+ with gr.Box():
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+ with gr.Row().style(mobile_collapse=False, equal_height=True):
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+ text = gr.Textbox(
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+ label="Enter your prompt",
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+ show_label=False,
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+ max_lines=1,
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+ placeholder="Enter your prompt",
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+ ).style(
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+ border=(True, False, True, True),
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+ rounded=(True, False, False, True),
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+ container=False,
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+ )
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+ btn = gr.Button("Generate image").style(
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+ margin=False,
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+ rounded=(False, True, True, False),
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+ )
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+
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+ gallery = gr.Gallery(
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+ label="Generated images", show_label=False, elem_id="gallery"
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+ ).style(grid=[3], height="auto")
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+
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+ advanced_button = gr.Button("Advanced options", elem_id="advanced-btn")
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+
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+ with gr.Row(elem_id="advanced-options"):
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+ samples = gr.Slider(label="Images", minimum=1, maximum=3, value=3, step=1)
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+ steps = gr.Slider(label="Steps", minimum=1, maximum=50, value=40, step=1)
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+ scale = gr.Slider(
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+ label="Guidance Scale", minimum=0, maximum=50, value=7.5, step=0.1
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+ )
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+ seed = gr.Slider(
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+ label="Random seed",
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+ minimum=0,
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+ maximum=2147483647,
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+ step=1,
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+ randomize=True,
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+ )
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+
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+ ex = gr.Examples(examples=examples, fn=infer, inputs=[text, samples, steps, scale, seed], outputs=gallery, cache_examples=True)
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+ ex.dataset.headers = [""]
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+
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+
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+ text.submit(infer, inputs=[text, samples, steps, scale, seed], outputs=gallery)
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+ btn.click(infer, inputs=[text, samples, steps, scale, seed], outputs=gallery)
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+ advanced_button.click(
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+ None,
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+ [],
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+ text,
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+ _js="""
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+ () => {
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+ const options = document.querySelector("body > gradio-app").querySelector("#advanced-options");
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+ options.style.display = ["none", ""].includes(options.style.display) ? "flex" : "none";
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+ }""",
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+ )
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+ gr.HTML(
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+ """
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+ <div class="footer">
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+ <p>Model by <a href="https://huggingface.co/CompVis" style="text-decoration: underline;" target="_blank">CompVis</a> and <a href="https://huggingface.co/stabilityai" style="text-decoration: underline;" target="_blank">Stability AI</a> - Demo by 🤗 Hugging Face
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+ </p>
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+ </div>
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+ <div class="acknowledgments">
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+ <p><h4>LICENSE</h4>
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+ The model is licensed with an <a href="https://huggingface.co/spaces/CompVis/stable-diffusion-license" style="text-decoration: underline;" target="_blank">CreativeML Open RAIL-M</a> license. The license states that the outputs that you make fully belong to you, and you are liable when sharing it. The license forbids you from sharing any content that violates any laws, produce any harm to a person, disseminate any personal information that would be meant for harm, spread misinformation and target vulnerable groups. For the full list of restrictions please <a href="https://huggingface.co/spaces/CompVis/stable-diffusion-license" target="_blank" style="text-decoration: underline;" target="_blank">read the license</a></p>
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+ <p><h4>Biases and content acknowledgment</h4>
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+ Despite how impressive being able to turn text into image is, beware to the fact that this model may output content that reinforces or exacerbates societal biases, as well as realistic faces, pornography and violence. The model was trained on the LAION-400M dataset, which scrapped non-curated image-text-pairs from the internet (the exception being the the removal of illegal content) and is meant for research purposes. You can read more in the <a href="https://huggingface.co/CompVis/stable-diffusion-v1-4" style="text-decoration: underline;" target="_blank">model card</a></p>
266
+ </div>
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+ """
268
+ )
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+
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+ block.queue(max_size=40).launch()
requirements.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
1
+ diffusers
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+ transformers
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+ nvidia-ml-py3
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+ --extra-index-url https://download.pytorch.org/whl/cu113 torch
unsafe.png ADDED
Binary file (29.6 kB). View file