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import gradio as gr
from annotator.util import resize_image, HWC3
DESCRIPTION = '# ControlNet v1.1 (cpu_only)'
model_canny = None
def canny(img, res, l, h):
img = resize_image(HWC3(img), res)
global model_canny
if model_canny is None:
from annotator.canny import CannyDetector
model_canny = CannyDetector()
result = model_canny(img, l, h)
return [result]
model_openpose = None
def openpose(img, res, hand_and_face):
img = resize_image(HWC3(img), res)
global model_openpose
if model_openpose is None:
from annotator.openpose import OpenposeDetector
model_openpose = OpenposeDetector()
result = model_openpose(img, hand_and_face)
return [result]
model_content_shuffler = None
def content_shuffler(img, res):
img = resize_image(HWC3(img), res)
global model_content_shuffler
if model_content_shuffler is None:
from annotator.shuffle import ContentShuffleDetector
model_content_shuffler = ContentShuffleDetector()
result = model_content_shuffler(img)
return [result]
model_color_shuffler = None
def color_shuffler(img, res):
img = resize_image(HWC3(img), res)
global model_color_shuffler
if model_color_shuffler is None:
from annotator.shuffle import ColorShuffleDetector
model_color_shuffler = ColorShuffleDetector()
result = model_color_shuffler(img)
return [result]
block = gr.Blocks().queue()
with block:
gr.Markdown(DESCRIPTION)
with gr.Row():
gr.Markdown("## Canny Edge")
with gr.Row():
with gr.Column():
input_image = gr.Image(source='upload', type="numpy")
low_threshold = gr.Slider(label="low_threshold", minimum=1, maximum=255, value=100, step=1)
high_threshold = gr.Slider(label="high_threshold", minimum=1, maximum=255, value=200, step=1)
resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
run_button = gr.Button(label="Run")
with gr.Column():
gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
run_button.click(fn=canny, inputs=[input_image, resolution, low_threshold, high_threshold], outputs=[gallery])
with gr.Row():
gr.Markdown("## Openpose")
with gr.Row():
with gr.Column():
input_image = gr.Image(source='upload', type="numpy")
hand_and_face = gr.Checkbox(label='Hand and Face', value=False)
resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
run_button = gr.Button(label="Run")
with gr.Column():
gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
run_button.click(fn=openpose, inputs=[input_image, resolution, hand_and_face], outputs=[gallery])
with gr.Row():
gr.Markdown("## Content Shuffle")
with gr.Row():
with gr.Column():
input_image = gr.Image(source='upload', type="numpy")
resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
run_button = gr.Button(label="Run")
with gr.Column():
gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
run_button.click(fn=content_shuffler, inputs=[input_image, resolution], outputs=[gallery])
with gr.Row():
gr.Markdown("## Color Shuffle")
with gr.Row():
with gr.Column():
input_image = gr.Image(source='upload', type="numpy")
resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
run_button = gr.Button(label="Run")
with gr.Column():
gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
run_button.click(fn=color_shuffler, inputs=[input_image, resolution], outputs=[gallery])
block.launch(server_name='0.0.0.0')
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