Spaces:
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Running
on
CPU Upgrade
Restart the Stable Diffusion 2.1
#18112
by
jaidy26
- opened
README.md
CHANGED
@@ -4,11 +4,10 @@ emoji: 🔥
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colorFrom: yellow
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colorTo: gray
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: true
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license: mit
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disable_embedding: true
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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colorFrom: yellow
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colorTo: gray
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sdk: gradio
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sdk_version: 3.11.0
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app_file: app.py
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pinned: true
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license: mit
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
CHANGED
@@ -5,12 +5,10 @@ from PIL import Image
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import re
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import os
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import requests
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import uuid
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import base64
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from share_btn import community_icon_html, loading_icon_html, share_js
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word_list_dataset = load_dataset("stabilityai/word-list", data_files="list.txt")
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word_list = word_list_dataset["train"]['text']
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is_gpu_busy = False
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@@ -18,28 +16,20 @@ def infer(prompt, negative, scale):
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global is_gpu_busy
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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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print(filter)
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print(prompt)
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raise gr.Error("Unsafe content found. Please try again with different prompts.")
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images = []
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url = os.getenv('JAX_BACKEND_URL')
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print(url)
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payload = {'prompt': prompt, 'negative_prompt': negative, 'guidance_scale': scale}
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images_request = requests.post(url, json = payload)
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for image in images_request.json()["images"]:
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f.write(base64.b64decode(image))
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images.append(file_path)
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return images
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css = """
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.gradio-container {
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max-width: 768px !important;
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}
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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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@@ -57,6 +47,7 @@ css = """
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.container {
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max-width: 730px;
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margin: auto;
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}
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#gallery {
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min-height: 22rem;
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@@ -137,9 +128,6 @@ css = """
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margin-top: 10px;
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margin-left: auto;
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}
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#share-btn-container .styler{
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background-color: #000000;
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}
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#share-btn {
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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;
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}
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@@ -163,7 +151,6 @@ css = """
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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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button{height: 100%}
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"""
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block = gr.Blocks(css=css)
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@@ -260,28 +247,40 @@ with block:
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"""
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)
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with gr.Group():
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with gr.
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with gr.
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)
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negative = gr.Textbox(
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label="Enter your negative prompt",
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show_label=False,
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max_lines=1,
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placeholder="Enter a negative prompt",
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elem_id="negative-prompt-text-input",
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)
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with gr.Column(scale=1, min_width=150):
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btn = gr.Button("Generate image")
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gallery = gr.Gallery(
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label="Generated images", show_label=False, elem_id="gallery"
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)
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with gr.Group(elem_id="container-advanced-btns"):
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#advanced_button = gr.Button("Advanced options", elem_id="advanced-btn")
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@@ -307,9 +306,9 @@ with block:
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ex = gr.Examples(examples=examples, fn=infer, inputs=[text, negative, guidance_scale], outputs=[gallery, community_icon, loading_icon, share_button], cache_examples=False)
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ex.dataset.headers = [""]
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negative.submit(infer, inputs=[text, negative, guidance_scale], outputs=[gallery],
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text.submit(infer, inputs=[text, negative, guidance_scale], outputs=[gallery],
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btn.click(infer, inputs=[text, negative, guidance_scale], outputs=[gallery],
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#advanced_button.click(
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# None,
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@@ -325,7 +324,7 @@ with block:
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None,
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[],
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[],
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)
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gr.HTML(
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"""
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@@ -345,5 +344,6 @@ Despite how impressive being able to turn text into image is, beware to the fact
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</div>
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"""
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)
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block.queue().launch(max_threads=150
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import re
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import os
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import requests
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from share_btn import community_icon_html, loading_icon_html, share_js
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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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is_gpu_busy = False
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global is_gpu_busy
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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 gr.Error("Unsafe content found. Please try again with different prompts.")
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images = []
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url = os.getenv('JAX_BACKEND_URL')
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payload = {'prompt': prompt, 'negative_prompt': negative, 'guidance_scale': scale}
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images_request = requests.post(url, json = payload)
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for image in images_request.json()["images"]:
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image_b64 = (f"data:image/jpeg;base64,{image}")
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images.append(image_b64)
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return images
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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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.container {
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max-width: 730px;
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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-top: 10px;
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margin-left: auto;
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}
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#share-btn {
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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;
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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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"""
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block = gr.Blocks(css=css)
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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(elem_id="prompt-container").style(mobile_collapse=False, equal_height=True):
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with gr.Column():
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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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elem_id="prompt-text-input",
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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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negative = gr.Textbox(
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label="Enter your negative prompt",
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show_label=False,
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max_lines=1,
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placeholder="Enter a negative prompt",
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elem_id="negative-prompt-text-input",
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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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full_width=False,
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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=[2], height="auto")
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with gr.Group(elem_id="container-advanced-btns"):
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#advanced_button = gr.Button("Advanced options", elem_id="advanced-btn")
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ex = gr.Examples(examples=examples, fn=infer, inputs=[text, negative, guidance_scale], outputs=[gallery, community_icon, loading_icon, share_button], cache_examples=False)
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ex.dataset.headers = [""]
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negative.submit(infer, inputs=[text, negative, guidance_scale], outputs=[gallery], postprocess=False)
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text.submit(infer, inputs=[text, negative, guidance_scale], outputs=[gallery], postprocess=False)
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btn.click(infer, inputs=[text, negative, guidance_scale], outputs=[gallery], postprocess=False)
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#advanced_button.click(
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# None,
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None,
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[],
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[],
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_js=share_js,
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)
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gr.HTML(
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"""
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</div>
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"""
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)
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block.queue(concurrency_count=80, max_size=100).launch(max_threads=150)
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