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patrickvonplaten
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Browse files- __pycache__/app.cpython-310.pyc +0 -0
- app.py +9 -8
- header.html +0 -3
__pycache__/app.cpython-310.pyc
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Binary files a/__pycache__/app.cpython-310.pyc and b/__pycache__/app.cpython-310.pyc differ
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app.py
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import gradio as gr
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from diffusers import
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from share_btn import community_icon_html, loading_icon_html, share_js
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unet =
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pipe =
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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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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").style(mobile_collapse=False, equal_height=True):
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prompt = gr.Textbox(placeholder = 'Your prompt (what you want in place of what is erased)', show_label=False, elem_id="input-text")
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btn = gr.Button("Inpaint!").style(
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margin=False,
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btn.click(fn=predict, inputs=[image, prompt, guidance_scale, steps, strength], outputs=[image_out, community_icon, loading_icon, share_button])
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share_button.click(None, [], [], _js=share_js)
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gr.HTML(
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"""
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<div class="footer">
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import gradio as gr
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import torch
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from diffusers import AutoPipelineForInpainting, UNet2DConditionModel
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from share_btn import community_icon_html, loading_icon_html, share_js
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unet = UNet2DConditionModel.from_pretrained("valhalla/sdxl-inpaint-ema")
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pipe = AutoPipelineForInpainting.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", unet=unet, torch_dtype=torch.float16, variant="fp16").to("cuda")
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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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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").style(mobile_collapse=False, equal_height=True):
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prompt = gr.Textbox(placeholder = 'Your prompt (what you want in place of what is erased)', show_label=False, elem_id="input-text")
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with gr.Row(elem_id="prompt-container").style(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=50, step=0.1, label="steps")
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strength = gr.Number(value=1.0, minimum=0.0, maximum=1.0, step=0.05, label="strength")
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btn = gr.Button("Inpaint!").style(
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margin=False,
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btn.click(fn=predict, inputs=[image, prompt, guidance_scale, steps, strength], outputs=[image_out, community_icon, loading_icon, share_button])
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share_button.click(None, [], [], _js=share_js)
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gr.HTML(
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"""
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<div class="footer">
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header.html
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justify-content: center;
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margin-bottom: 10px;
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">
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<img
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src="https://aeiljuispo.cloudimg.io/v7/https://s3.amazonaws.com/moonup/production/uploads/1665970599545-634cb15a4abe8405758d2e7e.jpeg"
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alt="Diffusers" width="64px">
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<h1 style="font-weight: 900; align-items: center; margin-bottom: 7px; margin-top: 20px;">
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Stable Diffusion XL Inpainting 🎨
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</h1>
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justify-content: center;
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margin-bottom: 10px;
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">
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<h1 style="font-weight: 900; align-items: center; margin-bottom: 7px; margin-top: 20px;">
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Stable Diffusion XL Inpainting 🎨
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</h1>
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