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on
A10G
Running
on
A10G
Updated gradio version and layout
#1
by
multimodalart
HF staff
- opened
- README.md +1 -1
- app.py +54 -59
- header.html +2 -2
- share_btn.py +3 -2
README.md
CHANGED
@@ -4,7 +4,7 @@ emoji: 🔥
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colorFrom: green
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colorTo: pink
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sdk: gradio
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sdk_version: 3.
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app_file: app.py
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pinned: false
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duplicated_from: runwayml/stable-diffusion-inpainting
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colorFrom: green
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colorTo: pink
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sdk: gradio
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sdk_version: 3.41.2
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app_file: app.py
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pinned: false
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duplicated_from: runwayml/stable-diffusion-inpainting
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app.py
CHANGED
@@ -5,8 +5,8 @@ from diffusers import AutoPipelineForInpainting, UNet2DConditionModel
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import diffusers
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from share_btn import community_icon_html, loading_icon_html, share_js
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pipe = AutoPipelineForInpainting.from_pretrained("
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def read_content(file_path: str) -> str:
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"""read the content of target file
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@@ -16,7 +16,8 @@ def read_content(file_path: str) -> str:
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return content
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def predict(dict, prompt="", guidance_scale=7.5, steps=20, strength=1.0, scheduler="EulerDiscreteScheduler"):
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scheduler_class_name = scheduler.split("-")[0]
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add_kwargs = {}
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@@ -31,13 +32,13 @@ def predict(dict, prompt="", guidance_scale=7.5, steps=20, strength=1.0, schedul
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init_image = dict["image"].convert("RGB").resize((1024, 1024))
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mask = dict["mask"].convert("RGB").resize((1024, 1024))
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output = pipe(prompt = prompt, image=init_image, mask_image=mask, guidance_scale=guidance_scale, num_inference_steps=int(steps), strength=strength)
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return output.images[0], gr.update(visible=True)
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css = '''
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.container
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#image_upload{min-height:400px}
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#image_upload [data-testid="image"], #image_upload [data-testid="image"] > div{min-height: 400px}
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#mask_radio .gr-form{background:transparent; border: none}
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@@ -57,61 +58,55 @@ css = '''
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transform: rotate(360deg);
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}
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}
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#share-btn-container {
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}
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#share-btn {
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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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#
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display: none !important;
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}
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'''
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image_blocks = gr.Blocks(css=css)
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with image_blocks as demo:
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gr.HTML(read_content("header.html"))
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with gr.
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with gr.Box():
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with gr.Row():
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with gr.Column():
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image = gr.Image(source='upload', tool='sketch', elem_id="image_upload", type="pil", label="Upload").style(height=400)
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with gr.Row(elem_id="prompt-container"
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btn = gr.Button("Inpaint!").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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with gr.Column():
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image_out = gr.Image(label="Output", elem_id="output-img").style(height=400)
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with gr.Group(elem_id="share-btn-container"):
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community_icon = gr.HTML(community_icon_html
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loading_icon = gr.HTML(loading_icon_html
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share_button = gr.Button("Share to community", elem_id="share-btn",
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examples=[
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["./imgs/aaa (8).png"],
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["./imgs/download (1).jpeg"],
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@@ -127,14 +122,14 @@ with image_blocks as demo:
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fn=predict,
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inputs=[image],
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cache_examples=False,
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image_blocks.launch()
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import diffusers
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from share_btn import community_icon_html, loading_icon_html, share_js
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device = "cuda" if torch.cuda.is_available() else "cpu"
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pipe = AutoPipelineForInpainting.from_pretrained("diffusers/inpainting-sdxl-0.1", torch_dtype=torch.float16, variant="fp16").to(device)
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def read_content(file_path: str) -> str:
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"""read the content of target file
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return content
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def predict(dict, prompt="", negative_prompt="", guidance_scale=7.5, steps=20, strength=1.0, scheduler="EulerDiscreteScheduler"):
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scheduler_class_name = scheduler.split("-")[0]
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add_kwargs = {}
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init_image = dict["image"].convert("RGB").resize((1024, 1024))
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mask = dict["mask"].convert("RGB").resize((1024, 1024))
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output = pipe(prompt = prompt, negative_prompt=negative_prompt, image=init_image, mask_image=mask, guidance_scale=guidance_scale, num_inference_steps=int(steps), strength=strength)
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return output.images[0], gr.update(visible=True)
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css = '''
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.gradio-container{max-width: 1100px !important}
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#image_upload{min-height:400px}
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#image_upload [data-testid="image"], #image_upload [data-testid="image"] > div{min-height: 400px}
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#mask_radio .gr-form{background:transparent; border: none}
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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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#prompt input{width: calc(100% - 160px);border-top-right-radius: 0px;border-bottom-right-radius: 0px;}
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#run_button{position:absolute;margin-top: 11px;right: 0;margin-right: 0.8em;border-bottom-left-radius: 0px;
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border-top-left-radius: 0px;}
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#prompt-container{margin-top:-18px;}
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#prompt-container .form{border-top-left-radius: 0;border-top-right-radius: 0}
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#image_upload{border-bottom-left-radius: 0px;border-bottom-right-radius: 0px}
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'''
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image_blocks = gr.Blocks(css=css, elem_id="total-container")
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with image_blocks as demo:
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gr.HTML(read_content("header.html"))
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with gr.Row():
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with gr.Column():
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image = gr.Image(source='upload', tool='sketch', elem_id="image_upload", type="pil", label="Upload").style(height=400)
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with gr.Row(elem_id="prompt-container", mobile_collapse=False, equal_height=True):
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with gr.Row():
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prompt = gr.Textbox(placeholder="Your prompt (what you want in place of what is erased)", show_label=False, elem_id="prompt")
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btn = gr.Button("Inpaint!", elem_id="run_button")
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with gr.Accordion(label="Advanced Settings", open=False):
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with gr.Row(mobile_collapse=False, equal_height=True):
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guidance_scale = gr.Number(value=7.5, minimum=1.0, maximum=20.0, step=0.1, label="guidance_scale")
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steps = gr.Number(value=20, minimum=10, maximum=30, step=1, label="steps")
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strength = gr.Number(value=0.99, minimum=0.01, maximum=0.99, step=0.01, label="strength")
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negative_prompt = gr.Textbox(label="negative_prompt", placeholder="Your negative prompt", info="what you don't want to see in the image")
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with gr.Row(mobile_collapse=False, equal_height=True):
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schedulers = ["DEISMultistepScheduler", "HeunDiscreteScheduler", "EulerDiscreteScheduler", "DPMSolverMultistepScheduler", "DPMSolverMultistepScheduler-Karras", "DPMSolverMultistepScheduler-Karras-SDE"]
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scheduler = gr.Dropdown(label="Schedulers", choices=schedulers, value="EulerDiscreteScheduler")
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with gr.Column():
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image_out = gr.Image(label="Output", elem_id="output-img").style(height=400)
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with gr.Group(elem_id="share-btn-container", visible=False) as share_btn_container:
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community_icon = gr.HTML(community_icon_html)
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loading_icon = gr.HTML(loading_icon_html)
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share_button = gr.Button("Share to community", elem_id="share-btn",visible=True)
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btn.click(fn=predict, inputs=[image, prompt, negative_prompt, guidance_scale, steps, strength, scheduler], outputs=[image_out, share_btn_container])
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share_button.click(None, [], [], _js=share_js)
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gr.Examples(
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examples=[
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["./imgs/aaa (8).png"],
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["./imgs/download (1).jpeg"],
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fn=predict,
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inputs=[image],
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cache_examples=False,
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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/diffusers" style="text-decoration: underline;" target="_blank">Diffusers</a> - Gradio Demo by 🤗 Hugging Face
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</p>
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</div>
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"""
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)
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image_blocks.launch()
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header.html
CHANGED
@@ -12,6 +12,6 @@
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</div>
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<div>
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<p style="align-items: center; margin-bottom: 7px;">
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Stable Diffusion XL Inpainting
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</div>
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</div>
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</div>
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<div>
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<p style="align-items: center; margin-bottom: 7px;">
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Demo for the <a href="https://huggingface.co/diffusers/inpainting-sdxl-0.1" target="_blank">Stable Diffusion XL Inpainting model</a>, add a mask and text prompt for what you want to replace
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</div>
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</div>
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share_btn.py
CHANGED
@@ -42,7 +42,7 @@ share_js = """async () => {
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// const gradioEl = document.querySelector("gradio-app").shadowRoot;
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const inputImgCanvas = gradioEl.querySelector('canvas[key="drawing"]');
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const outputImgEl = gradioEl.querySelector('#output-img img');
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const promptTxt = gradioEl.querySelector('#
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let titleTxt = promptTxt;
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if(titleTxt.length > 100){
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titleTxt = titleTxt.slice(0, 100) + ' ...';
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});
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const paramsStr = params.toString();
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shareBtnEl.style.removeProperty('pointer-events');
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shareIconEl.style.removeProperty('display');
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// const gradioEl = document.querySelector("gradio-app").shadowRoot;
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const inputImgCanvas = gradioEl.querySelector('canvas[key="drawing"]');
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const outputImgEl = gradioEl.querySelector('#output-img img');
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const promptTxt = gradioEl.querySelector('#prompt textarea').value;
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let titleTxt = promptTxt;
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if(titleTxt.length > 100){
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titleTxt = titleTxt.slice(0, 100) + ' ...';
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});
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const paramsStr = params.toString();
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window.open(`https://huggingface.co/spaces/diffusers/stable-diffusion-xl-inpainting/discussions/new?${paramsStr}&preview=true`, '_blank');
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shareBtnEl.style.removeProperty('pointer-events');
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shareIconEl.style.removeProperty('display');
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