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Runtime error
ngoctuanai
commited on
Commit
•
08a7509
1
Parent(s):
1183d7a
Update app.py
Browse files
app.py
CHANGED
@@ -5,17 +5,70 @@ import random
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import os
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from PIL import Image
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}
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image_bytes = requests.post(API_URL, headers=headers, json=payload).content
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@@ -24,164 +77,149 @@ def query(prompt, is_negative=False, steps=1, cfg_scale=6, seed=None):
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css = """
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}
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}
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}
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#share-btn
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}
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}
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}
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.tabitem:hover {
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background-color: #f5f5f5; /* Light background color on hover */
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}
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"""
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with gr.Blocks(css=css
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display: inline-flex;
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align-items: center;
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gap: 0.8rem;
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font-size: 1.75rem;
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"
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>
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<h1 style="font-weight: 900; margin-bottom: 7px;margin-top:5px">
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Stable Diffusion v1.5 XL
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</h1>
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</div>
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<p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;">
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</p>
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</div>
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"""
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)
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with gr.Row():
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image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery")
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text_prompt = gr.Textbox(label="Prompt", placeholder="a cute dog", lines=1, elem_id="prompt-text-input")
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text_button = gr.Button("Generate", variant='primary', elem_id="gen-button")
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with gr.Accordion("Advanced settings", open=False):
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negative_prompt = gr.Textbox(label="Negative Prompt", value="text, blurry, fuzziness", lines=1, elem_id="negative-prompt-text-input")
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text_button.click(
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import os
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from PIL import Image
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list_models = [
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"SD-1.5",
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"SDXL-1.0",
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"OpenJourney-V4",
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"Anything-V4",
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"Disney-Pixar-Cartoon",
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"Pixel-Art-XL",
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"dalle-3-xl",
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]
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def generate_txt2img(current_model, prompt, is_negative=False, image_style="None style", steps=50, cfg_scale=7,
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seed=None):
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if current_model == "SD-1.5":
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API_URL = "https://api-inference.huggingface.co/models/runwayml/stable-diffusion-v1-5"
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elif current_model == "SDXL-1.0":
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API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0"
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elif current_model == "OpenJourney-V4":
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API_URL = "https://api-inference.huggingface.co/models/prompthero/openjourney"
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elif current_model == "Anything-V4":
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API_URL = "https://api-inference.huggingface.co/models/xyn-ai/anything-v4.0"
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elif current_model == "Disney-Pixar-Cartoon":
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API_URL = "https://api-inference.huggingface.co/models/stablediffusionapi/disney-pixar-cartoon"
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elif current_model == "Pixel-Art-XL":
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API_URL = "https://api-inference.huggingface.co/models/nerijs/pixel-art-xl"
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elif current_model == "dalle-3-xl":
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API_URL = "https://api-inference.huggingface.co/models/openskyml/dalle-3-xl"
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API_TOKEN = os.environ.get("HF_READ_TOKEN")
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headers = {"Authorization": f"Bearer {API_TOKEN}"}
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if image_style == "None style":
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payload = {
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"inputs": prompt + ", 8k",
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"is_negative": is_negative,
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"steps": steps,
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"cfg_scale": cfg_scale,
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"seed": seed if seed is not None else random.randint(-1, 2147483647)
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}
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elif image_style == "Cinematic":
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payload = {
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"inputs": prompt + ", realistic, detailed, textured, skin, hair, eyes, by Alex Huguet, Mike Hill, Ian Spriggs, JaeCheol Park, Marek Denko",
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"is_negative": is_negative + ", abstract, cartoon, stylized",
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"steps": steps,
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"cfg_scale": cfg_scale,
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"seed": seed if seed is not None else random.randint(-1, 2147483647)
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}
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elif image_style == "Digital Art":
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payload = {
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"inputs": prompt + ", faded , vintage , nostalgic , by Jose Villa , Elizabeth Messina , Ryan Brenizer , Jonas Peterson , Jasmine Star",
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"is_negative": is_negative + ", sharp , modern , bright",
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"steps": steps,
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"cfg_scale": cfg_scale,
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"seed": seed if seed is not None else random.randint(-1, 2147483647)
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}
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elif image_style == "Portrait":
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payload = {
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"inputs": prompt + ", soft light, sharp, exposure blend, medium shot, bokeh, (hdr:1.4), high contrast, (cinematic, teal and orange:0.85), (muted colors, dim colors, soothing tones:1.3), low saturation, (hyperdetailed:1.2), (noir:0.4), (natural skin texture, hyperrealism, soft light, sharp:1.2)",
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"is_negative": is_negative,
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"steps": steps,
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"cfg_scale": cfg_scale,
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"seed": seed if seed is not None else random.randint(-1, 2147483647)
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}
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image_bytes = requests.post(API_URL, headers=headers, json=payload).content
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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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.gradio-container {
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max-width: 730px !important;
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margin: auto;
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padding-top: 1.5rem;
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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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margin-left: auto;
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margin-right: auto;
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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: 12px;
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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: 45px;
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margin-top: 35px;
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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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.animate-spin {
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animation: spin 1s linear infinite;
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}
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@keyframes spin {
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from {
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transform: rotate(0deg);
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}
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to {
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transform: rotate(360deg);
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}
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}
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#share-btn-container {padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; max-width: 13rem; margin-left: auto;}
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div#share-btn-container > div {flex-direction: row;background: black;align-items: center}
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#share-btn-container:hover {background-color: #060606}
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#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: 0.5rem !important; padding-bottom: 0.5rem !important;right:0;}
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#share-btn * {all: unset}
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#share-btn-container div:nth-child(-n+2){width: auto !important;min-height: 0px !important;}
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#share-btn-container .wrap {display: none !important}
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#share-btn-container.hidden {display: none!important}
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.gr-form{
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flex: 1 1 50%; border-top-right-radius: 0; border-bottom-right-radius: 0;
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}
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#prompt-container{
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gap: 0;
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}
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#prompt-container .form{
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border-top-right-radius: 0;
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border-bottom-right-radius: 0;
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}
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#gen-button{
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border-top-left-radius:0;
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border-bottom-left-radius:0;
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}
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#prompt-text-input, #negative-prompt-text-input{padding: .45rem 0.625rem}
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#component-16{border-top-width: 1px!important;margin-top: 1em}
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.image_duplication{position: absolute; width: 100px; left: 50px}
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.tabitem{border: 0 !important}
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"""
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with gr.Blocks(css=css) as demo:
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favicon = '<img src="" width="48px" style="display: inline">'
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gr.Markdown(
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f"""<h1><center>{favicon} AI Diffusion</center></h1>
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"""
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)
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with gr.Row(elem_id="prompt-container"):
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current_model = gr.Dropdown(label="Current Model", choices=list_models, value=list_models[1])
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with gr.Row(elem_id="prompt-container"):
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text_prompt = gr.Textbox(label="Prompt", placeholder="a cute cat", lines=1, elem_id="prompt-text-input")
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text_button = gr.Button("Generate", variant='primary', elem_id="gen-button")
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with gr.Row():
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image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery")
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with gr.Accordion("Advanced settings", open=False):
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negative_prompt = gr.Textbox(label="Negative Prompt", value="text, blurry, fuzziness", lines=1, elem_id="negative-prompt-text-input")
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image_style = gr.Dropdown(label="Style", choices=["None style", "Cinematic", "Digital Art", "Portrait"], value="None style", allow_custom_value=False)
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text_button.click(generate_txt2img, inputs=[current_model, text_prompt, negative_prompt, image_style], outputs=image_output)
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demo.launch(show_api=False)
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