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import gradio as gr
from diffusers import DiffusionPipeline, UNet2DModel
from share_btn import community_icon_html, loading_icon_html, share_js
unet = UNet2DModel.from_pretrained("valhalla/sdxl-inpaint-ema")
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", unet=unet, torch_dtype=torch.float16, variant="fp16").to("cuda")
def read_content(file_path: str) -> str:
"""read the content of target file
"""
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
return content
def predict(dict, prompt="", guidance_scale=7.5, steps=20, strength=1.0):
init_image = dict["image"].convert("RGB").resize((1024, 1024))
mask = dict["mask"].convert("RGB").resize((1024, 1024))
output = pipe(prompt = prompt, image=init_image, mask_image=mask, guidance_scale=guidance_scale, steps=int(steps), strength=strength)
return output.images[0], gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
css = '''
.container {max-width: 1150px;margin: auto;padding-top: 1.5rem}
#image_upload{min-height:400px}
#image_upload [data-testid="image"], #image_upload [data-testid="image"] > div{min-height: 400px}
#mask_radio .gr-form{background:transparent; border: none}
#word_mask{margin-top: .75em !important}
#word_mask textarea:disabled{opacity: 0.3}
.footer {margin-bottom: 45px;margin-top: 35px;text-align: center;border-bottom: 1px solid #e5e5e5}
.footer>p {font-size: .8rem; display: inline-block; padding: 0 10px;transform: translateY(10px);background: white}
.dark .footer {border-color: #303030}
.dark .footer>p {background: #0b0f19}
.acknowledgments h4{margin: 1.25em 0 .25em 0;font-weight: bold;font-size: 115%}
#image_upload .touch-none{display: flex}
@keyframes spin {
from {
transform: rotate(0deg);
}
to {
transform: rotate(360deg);
}
}
#share-btn-container {
display: flex; padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; width: 13rem;
}
#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: 0.25rem !important; padding-bottom: 0.25rem !important;
}
#share-btn * {
all: unset;
}
#share-btn-container div:nth-child(-n+2){
width: auto !important;
min-height: 0px !important;
}
#share-btn-container .wrap {
display: none !important;
}
'''
image_blocks = gr.Blocks(css=css)
with image_blocks as demo:
gr.HTML(read_content("header.html"))
with gr.Group():
with gr.Box():
with gr.Row():
with gr.Column():
image = gr.Image(source='upload', tool='sketch', elem_id="image_upload", type="pil", label="Upload").style(height=400)
with gr.Row(elem_id="prompt-container").style(mobile_collapse=False, equal_height=True):
prompt = gr.Textbox(placeholder = 'Your prompt (what you want in place of what is erased)', show_label=False, elem_id="input-text")
guidance_scale = gradio.Number(value=7.5, minimum=1.0, maximum=20.0)
steps = gradio.Number(value=20, minimum=10, maximum=50)
strength = gradio.Number(value=1.0, minimum=0.0, maximum=1.0)
btn = gr.Button("Inpaint!").style(
margin=False,
rounded=(False, True, True, False),
full_width=False,
)
with gr.Column():
image_out = gr.Image(label="Output", elem_id="output-img").style(height=400)
with gr.Group(elem_id="share-btn-container"):
community_icon = gr.HTML(community_icon_html, visible=False)
loading_icon = gr.HTML(loading_icon_html, visible=False)
share_button = gr.Button("Share to community", elem_id="share-btn", visible=False)
btn.click(fn=predict, inputs=[image, prompt, guidance_scale, steps, strength], outputs=[image_out, community_icon, loading_icon, share_button])
share_button.click(None, [], [], _js=share_js)
gr.HTML(
"""
<div class="footer">
<p>Model by <a href="https://huggingface.co/diffusers" style="text-decoration: underline;" target="_blank">RunwayML</a> - Gradio Demo by 🤗 Hugging Face
</p>
</div>
"""
)
image_blocks.launch(share=True)
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