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gradio_demo.py
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import gradio as gr
from pair_diff_demo import ImageComp
# torch.cuda.set_per_process_memory_fraction(0.6)
def init_input_canvas_wrapper(obj, *args):
return obj.init_input_canvas(*args)
def init_ref_canvas_wrapper(obj, *args):
return obj.init_ref_canvas(*args)
def select_input_object_wrapper(obj, evt: gr.SelectData):
return obj.select_input_object(evt)
def select_ref_object_wrapper(obj, evt: gr.SelectData):
return obj.select_ref_object(evt)
def process_wrapper(obj, *args):
return obj.process(*args)
def set_multi_modal_wrapper(obj, *args):
return obj.set_multi_modal(*args)
def save_result_wrapper(obj, *args):
return obj.save_result(*args)
def return_input_img_wrapper(obj):
return obj.return_input_img()
def get_caption_wrapper(obj, *args):
return obj.get_caption(*args)
def multimodal_params(b):
if b:
return 10, 3, 6
else:
return 6, 8, 9
theme = gr.themes.Soft(
primary_hue="purple",
font_mono=[gr.themes.GoogleFont("IBM Plex Mono"), "ui-monospace", "Consolas", 'monospace'],
).set(
block_label_background_fill_dark='*neutral_800'
)
css = """
#customized_imbox {
min-height: 450px;
}
#customized_imbox>div[data-testid="image"] {
min-height: 450px;
}
#customized_imbox>div[data-testid="image"]>div {
min-height: 450px;
}
#customized_imbox>div[data-testid="image"]>iframe {
min-height: 450px;
}
#customized_imbox>div.unpadded_box {
min-height: 450px;
}
#myinst {
font-size: 0.8rem;
margin: 0rem;
color: #6B7280;
}
#maskinst {
text-align: justify;
min-width: 1200px;
}
#maskinst>img {
min-width:399px;
max-width:450px;
vertical-align: top;
display: inline-block;
}
#maskinst:after {
content: "";
width: 100%;
display: inline-block;
}
"""
def create_app_demo():
with gr.Row():
gr.Markdown("## Object Level Appearance Editing")
with gr.Row():
gr.HTML(
"""
<div style="text-align: left; max-width: 1200px;">
<h3 style="font-weight: 450; font-size: 1rem; margin-top: 0.8rem; margin-bottom: 0.8rem">
Instructions </h3>
<ol>
<li>Upload an Input Image.</li>
<li>Mark one of segmented objects in the <i>Select Object to Edit</i> tab.</li>
<li>Upload an Reference Image.</li>
<li>Mark one of segmented objects in the <i>Select Reference Object</i> tab, whose appearance needs to used in the selected input object.</li>
<li>Enter a prompt and press <i>Run</i> button. (A very simple would also work) </li>
</ol>
</ol>
</div>""")
with gr.Column():
with gr.Row():
img_edit = gr.State(ImageComp('edit_app'))
with gr.Column():
input_image = gr.Image(source='upload', label='Input Image', type="numpy",)
with gr.Column():
input_mask = gr.Image(source="upload", label='Select Object in Input Image', type="numpy",)
with gr.Column():
ref_img = gr.Image(source='upload', label='Reference Image', type="numpy")
with gr.Column():
reference_mask = gr.Image(source="upload", label='Select Object in Refernce Image', type="numpy")
with gr.Row():
with gr.Column():
prompt = gr.Textbox(label="Prompt", value='A picture of truck')
mulitmod = gr.Checkbox(label='Multi-Modal', value=False)
mulitmod.change(fn=set_multi_modal_wrapper, inputs=[img_edit, mulitmod])
input_image.change(fn=init_input_canvas_wrapper, inputs=[img_edit, input_image], outputs=[input_image], show_progress=True)
input_image.select(fn=select_input_object_wrapper, inputs=[img_edit], outputs=[input_mask, prompt])
ref_img.change(fn=init_ref_canvas_wrapper, inputs=[img_edit, ref_img], outputs=[ref_img], show_progress=True)
ref_img.select(fn=select_ref_object_wrapper, inputs=[img_edit], outputs=[reference_mask])
with gr.Column():
interpolation = gr.Slider(label="Mixing ratio of appearance from reference object", minimum=0.1, maximum=1, value=1.0, step=0.1)
whole_ref = gr.Checkbox(label='Use whole reference Image for appearance (Only useful for style transfers)', visible=False)
# clear_button.click(fn=img_edit.clear_points, inputs=[], outputs=[input_mask, reference_mask])
with gr.Row():
run_button = gr.Button(label="Run")
save_button = gr.Button("Save")
with gr.Row():
result_gallery = gr.Gallery(label='Output', show_label=False, elem_id="gallery").style(grid=4, height='auto')
with gr.Accordion("Advanced options", open=False):
num_samples = gr.Slider(label="Images", minimum=1, maximum=12, value=4, step=1)
image_resolution = gr.Slider(label="Image Resolution", minimum=512, maximum=512, value=512, step=64)
strength = gr.Slider(label="Control Strength", minimum=0.0, maximum=2.0, value=1.0, step=0.01)
guess_mode = gr.Checkbox(label='Guess Mode', value=False)
ddim_steps = gr.Slider(label="Steps", minimum=1, maximum=100, value=20, step=1)
scale_t = gr.Slider(label="Guidance Scale Text", minimum=0., maximum=30.0, value=6.0, step=0.1)
scale_f = gr.Slider(label="Guidance Scale Appearance", minimum=0., maximum=30.0, value=8.0, step=0.1)
scale_s = gr.Slider(label="Guidance Scale Structure", minimum=0., maximum=30.0, value=9.0, step=0.1)
seed = gr.Slider(label="Seed", minimum=-1, maximum=2147483647, step=1, randomize=True)
eta = gr.Number(label="eta (DDIM)", value=0.0)
masking = gr.Checkbox(label='Only edit the local region', value=True)
a_prompt = gr.Textbox(label="Added Prompt", value='best quality, extremely detailed')
n_prompt = gr.Textbox(label="Negative Prompt",
value='longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality')
dil = gr.Slider(label="Merging region around Edge", minimum=0, maximum=0, value=0, step=0)
with gr.Column():
gr.Examples(
examples=[['assets/examples/car.jpeg','assets/examples/ian.jpeg', '', 709736989, 6, 8, 9],
['assets/examples/ian.jpeg','assets/examples/car.jpeg', '', 709736989, 6, 8, 9],
['assets/examples/car.jpeg','assets/examples/ran.webp', '', 709736989, 6, 8, 9],
['assets/examples/car.jpeg','assets/examples/car1.webp', '', 709736989, 6, 8, 9],
['assets/examples/car1.webp','assets/examples/car.jpeg', '', 709736989, 6, 8, 9],
['assets/examples/chair.jpeg','assets/examples/chair1.jpeg', '', 1106204668, 6, 8, 9],
['assets/examples/house.jpeg','assets/examples/house2.jpeg', '', 1106204668, 6, 8, 9],
['assets/examples/house2.jpeg','assets/examples/house.jpeg', '', 1106204668, 6, 8, 9],
['assets/examples/park.webp','assets/examples/grasslands-national-park.jpeg', '', 1106204668, 6, 8, 9],
['assets/examples/door.jpeg','assets/examples/door2.jpeg', '', 709736989, 6, 8, 9]],
inputs=[input_image, ref_img, prompt, seed, scale_t, scale_f, scale_s],
cache_examples=False,
)
mulitmod.change(fn=multimodal_params, inputs=[mulitmod], outputs=[scale_t, scale_f, scale_s])
ips = [input_mask, reference_mask, prompt, a_prompt, n_prompt, num_samples, ddim_steps, guess_mode, strength,
scale_s, scale_f, scale_t, seed, eta, dil, masking, whole_ref, interpolation]
ips_save = [input_mask, prompt, a_prompt, n_prompt, ddim_steps,
scale_s, scale_f, scale_t, seed, dil, interpolation]
run_button.click(fn=process_wrapper, inputs=[img_edit, *ips], outputs=[result_gallery])
save_button.click(fn=save_result_wrapper, inputs=[img_edit, *ips_save])
def create_add_obj_demo():
with gr.Row():
gr.Markdown("## Add Objects to Image")
with gr.Row():
gr.HTML(
"""
<div style="text-align: left; max-width: 1200px;">
<h3 style="font-weight: 450; font-size: 1rem; margin-top: 0.8rem; margin-bottom: 0.8rem">
Instructions </h3>
<ol>
<li> Upload an Input Image.</li>
<li>Draw the precise shape of object in the image where you want to add object in <i>Draw Object</i> tab.</li>
<li>Upload an Reference Image.</li>
<li>Click on the object in the Reference Image tab that you want to add in the Input Image.</li>
<li>Enter a prompt and press <i>Run</i> button. (A very simple would also work) </li>
</ol>
</ol>
</div>""")
with gr.Column():
with gr.Row():
img_edit = gr.State(ImageComp('add_obj'))
with gr.Column():
input_image = gr.Image(source='upload', label='Input Image', type="numpy",)
with gr.Column():
input_mask = gr.Image(source="upload", label='Draw the desired Object', type="numpy", tool="sketch")
input_image.change(fn=init_input_canvas_wrapper, inputs=[img_edit, input_image], outputs=[input_image])
input_image.change(fn=return_input_img_wrapper, inputs=[img_edit], outputs=[input_mask], queue=False)
with gr.Column():
ref_img = gr.Image(source='upload', label='Reference Image', type="numpy")
with gr.Column():
reference_mask = gr.Image(source="upload", label='Selected Object in Refernce Image', type="numpy")
ref_img.change(fn=init_ref_canvas_wrapper, inputs=[img_edit, ref_img], outputs=[ref_img], queue=False)
# ref_img.upload(fn=img_edit.init_ref_canvas, inputs=[ref_img], outputs=[ref_img])
ref_img.select(fn=select_ref_object_wrapper, inputs=[img_edit], outputs=[reference_mask])
with gr.Row():
prompt = gr.Textbox(label="Prompt", value='A picture of truck')
mulitmod = gr.Checkbox(label='Multi-Modal', value=False, visible=False)
mulitmod.change(fn=set_multi_modal_wrapper, inputs=[img_edit, mulitmod])
with gr.Row():
run_button = gr.Button(label="Run")
save_button = gr.Button("Save")
with gr.Row():
result_gallery = gr.Gallery(label='Output', show_label=False, elem_id="gallery").style(grid=4, height='auto')
with gr.Accordion("Advanced options", open=False):
num_samples = gr.Slider(label="Images", minimum=1, maximum=12, value=4, step=1)
# image_resolution = gr.Slider(label="Image Resolution", minimum=512, maximum=512, value=512, step=64)
strength = gr.Slider(label="Control Strength", minimum=0.0, maximum=2.0, value=1.0, step=0.01)
guess_mode = gr.Checkbox(label='Guess Mode', value=False)
ddim_steps = gr.Slider(label="Steps", minimum=1, maximum=100, value=20, step=1)
dil = gr.Slider(label="Merging region around Edge", minimum=0, maximum=5, value=2, step=1)
scale_t = gr.Slider(label="Guidance Scale Text", minimum=0., maximum=30.0, value=6.0, step=0.1)
scale_f = gr.Slider(label="Guidance Scale Appearance", minimum=0., maximum=30.0, value=8.0, step=0.1)
scale_s = gr.Slider(label="Guidance Scale Structure", minimum=0., maximum=30.0, value=9.0, step=0.1)
seed = gr.Slider(label="Seed", minimum=-1, maximum=2147483647, step=1, randomize=True)
eta = gr.Number(label="eta (DDIM)", value=0.0)
masking = gr.Checkbox(label='Only edit the local region', value=True)
a_prompt = gr.Textbox(label="Added Prompt", value='best quality, extremely detailed')
n_prompt = gr.Textbox(label="Negative Prompt",
value='longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality')
mulitmod.change(fn=multimodal_params, inputs=[mulitmod], outputs=[scale_t, scale_f, scale_s])
with gr.Column():
gr.Examples(
examples=[['assets/examples/chair.jpeg','assets/examples/carpet2.webp', 'A picture of living room with carpet', 892905419, 6, 8, 9],
['assets/examples/chair.jpeg','assets/examples/chair1.jpeg', 'A picture of living room with a orange and white sofa', 892905419, 6, 8, 9],
['assets/examples/park.webp','assets/examples/dog.jpeg', 'A picture of dog in the park', 892905419, 6, 8, 9]],
inputs=[input_image, ref_img, prompt, seed, scale_t, scale_f, scale_s],
outputs=None,
fn=None,
cache_examples=False,
)
ips = [input_mask, reference_mask, prompt, a_prompt, n_prompt, num_samples, ddim_steps, guess_mode, strength,
scale_s, scale_f, scale_t, seed, eta, dil, masking]
ips_save = [input_mask, prompt, a_prompt, n_prompt, ddim_steps,
scale_s, scale_f, scale_t, seed, dil]
run_button.click(fn=process_wrapper, inputs=[img_edit, *ips], outputs=[result_gallery])
save_button.click(fn=save_result_wrapper, inputs=[img_edit, *ips_save])
def create_obj_variation_demo():
with gr.Row():
gr.Markdown("## Objects Variation")
with gr.Row():
gr.HTML(
"""
<div style="text-align: left; max-width: 1200px;">
<h3 style="font-weight: 450; font-size: 1rem; margin-top: 0.8rem; margin-bottom: 0.8rem">
Instructions </h3>
<ol>
<li> Upload an Input Image.</li>
<li>Click on object to have variations</li>
<li>Press <i>Run</i> button</li>
</ol>
</ol>
</div>""")
with gr.Column():
with gr.Row():
img_edit = gr.State(ImageComp('edit_app'))
with gr.Column():
input_image = gr.Image(source='upload', label='Input Image', type="numpy",)
with gr.Column():
input_mask = gr.Image(source="upload", label='Select Object in Input Image', type="numpy",)
with gr.Row():
prompt = gr.Textbox(label="Prompt", value='')
mulitmod = gr.Checkbox(label='Multi-Modal', value=False)
mulitmod.change(fn=set_multi_modal_wrapper, inputs=[img_edit, mulitmod])
input_image.change(fn=init_input_canvas_wrapper, inputs=[img_edit, input_image], outputs=[input_image])
input_image.select(fn=select_input_object_wrapper, inputs=[img_edit], outputs=[input_mask, prompt])
input_image.change(fn=init_ref_canvas_wrapper, inputs=[img_edit, input_image], outputs=[], queue=False)
input_image.select(fn=select_ref_object_wrapper, inputs=[img_edit], outputs=[])
with gr.Row():
run_button = gr.Button(label="Run")
save_button = gr.Button("Save")
with gr.Row():
result_gallery = gr.Gallery(label='Output', show_label=False, elem_id="gallery").style(grid=4, height='auto')
with gr.Accordion("Advanced options", open=False):
num_samples = gr.Slider(label="Images", minimum=1, maximum=12, value=4, step=2)
# image_resolution = gr.Slider(label="Image Resolution", minimum=512, maximum=512, value=512, step=64)
strength = gr.Slider(label="Control Strength", minimum=0.0, maximum=2.0, value=1.0, step=0.01)
guess_mode = gr.Checkbox(label='Guess Mode', value=False)
ddim_steps = gr.Slider(label="Steps", minimum=1, maximum=100, value=20, step=1)
dil = gr.Slider(label="Merging region around Edge", minimum=0, maximum=5, value=2, step=1)
scale_t = gr.Slider(label="Guidance Scale Text", minimum=0.0, maximum=30.0, value=6.0, step=0.1)
scale_f = gr.Slider(label="Guidance Scale Appearance", minimum=0.0, maximum=30.0, value=8.0, step=0.1)
scale_s = gr.Slider(label="Guidance Scale Structure", minimum=0.0, maximum=30.0, value=9.0, step=0.1)
seed = gr.Slider(label="Seed", minimum=-1, maximum=2147483647, step=1, randomize=True)
eta = gr.Number(label="eta (DDIM)", value=0.0)
masking = gr.Checkbox(label='Only edit the local region', value=True)
a_prompt = gr.Textbox(label="Added Prompt", value='best quality, extremely detailed')
n_prompt = gr.Textbox(label="Negative Prompt",
value='longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality')
mulitmod.change(fn=multimodal_params, inputs=[mulitmod], outputs=[scale_t, scale_f, scale_s])
with gr.Column():
gr.Examples(
examples=[['assets/examples/chair.jpeg' , 892905419, 6, 8, 9],
['assets/examples/chair1.jpeg', 892905419, 6, 8, 9],
['assets/examples/park.webp', 892905419, 6, 8, 9],
['assets/examples/car.jpeg', 709736989, 6, 8, 9],
['assets/examples/ian.jpeg', 709736989, 6, 8, 9],
['assets/examples/chair.jpeg', 1106204668, 6, 8, 9],
['assets/examples/door.jpeg', 709736989, 6, 8, 9],
['assets/examples/carpet2.webp', 892905419, 6, 8, 9],
['assets/examples/house.jpeg', 709736989, 6, 8, 9],
['assets/examples/house2.jpeg', 709736989, 6, 8, 9],],
inputs=[input_image, seed, scale_t, scale_f, scale_s],
outputs=None,
fn=None,
cache_examples=False,
)
ips = [input_mask, input_mask, prompt, a_prompt, n_prompt, num_samples, ddim_steps, guess_mode, strength,
scale_s, scale_f, scale_t, seed, eta, dil, masking]
ips_save = [input_mask, prompt, a_prompt, n_prompt, ddim_steps,
scale_s, scale_f, scale_t, seed, dil]
run_button.click(fn=process_wrapper, inputs=[img_edit, *ips], outputs=[result_gallery])
save_button.click(fn=save_result_wrapper, inputs=[img_edit, *ips_save])
def create_free_form_obj_variation_demo():
with gr.Row():
gr.Markdown("## Objects Variation")
with gr.Row():
gr.HTML(
"""
<div style="text-align: left; max-width: 1200px;">
<h3 style="font-weight: 450; font-size: 1rem; margin-top: 0.8rem; margin-bottom: 0.8rem">
Instructions </h3>
<ol>
<li> Upload an Input Image.</li>
<li>Mask the region that you want to have variation</li>
<li>Press <i>Run</i> button</li>
</ol>
</ol>
</div>""")
with gr.Column():
with gr.Row():
img_edit = gr.State(ImageComp('edit_app'))
with gr.Column():
input_image = gr.Image(source='upload', label='Input Image', type="numpy", )
with gr.Column():
input_mask = gr.Image(source="upload", label='Select Object in Input Image', type="numpy", tool="sketch")
with gr.Row():
prompt = gr.Textbox(label="Prompt", value='')
ignore_structure = gr.Checkbox(label='Ignore Structure (Please provide a good caption)', visible=False)
mulitmod = gr.Checkbox(label='Multi-Modal', value=False)
mulitmod.change(fn=set_multi_modal_wrapper, inputs=[img_edit, mulitmod])
input_image.change(fn=init_input_canvas_wrapper, inputs=[img_edit, input_image], outputs=[input_mask])
input_mask.edit(fn=get_caption_wrapper, inputs=[img_edit, input_mask], outputs=[prompt])
input_image.change(fn=init_ref_canvas_wrapper, inputs=[img_edit, input_image], outputs=[], queue=False)
# input_image.select(fn=select_ref_object_wrapper, inputs=[img_edit], outputs=[])
# input_image.edit(fn=img_edit.vis_mask, inputs=[input_image], outputs=[input_mask])
with gr.Row():
run_button = gr.Button(label="Run")
save_button = gr.Button("Save")
with gr.Row():
result_gallery = gr.Gallery(label='Output', show_label=False, elem_id="gallery").style(grid=4, height='auto')
with gr.Accordion("Advanced options", open=False):
num_samples = gr.Slider(label="Images", minimum=1, maximum=12, value=4, step=2)
# image_resolution = gr.Slider(label="Image Resolution", minimum=512, maximum=512, value=512, step=64)
strength = gr.Slider(label="Control Strength", minimum=0.0, maximum=2.0, value=1.0, step=0.01)
guess_mode = gr.Checkbox(label='Guess Mode', value=False)
ddim_steps = gr.Slider(label="Steps", minimum=1, maximum=100, value=20, step=1)
dil = gr.Slider(label="Merging region around Edge", minimum=0, maximum=5, value=2, step=1)
scale_t = gr.Slider(label="Guidance Scale Text", minimum=0.0, maximum=30.0, value=6.0, step=0.1)
scale_f = gr.Slider(label="Guidance Scale Appearance", minimum=0.0, maximum=30.0, value=8.0, step=0.1)
scale_s = gr.Slider(label="Guidance Scale Structure", minimum=0.0, maximum=30.0, value=9.0, step=0.1)
seed = gr.Slider(label="Seed", minimum=-1, maximum=2147483647, step=1, randomize=True)
eta = gr.Number(label="eta (DDIM)", value=0.0)
masking = gr.Checkbox(label='Only edit the local region', value=True)
free_form_obj_var = gr.Checkbox(label='', value=True)
a_prompt = gr.Textbox(label="Added Prompt", value='best quality, extremely detailed')
n_prompt = gr.Textbox(label="Negative Prompt",
value='longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality')
interpolation = gr.Slider(label="Mixing ratio of appearance from reference object", minimum=0.0, maximum=0.1, step=0.1)
mulitmod.change(fn=multimodal_params, inputs=[mulitmod], outputs=[scale_t, scale_f, scale_s])
with gr.Column():
gr.Examples(
examples=[['assets/examples/chair.jpeg' , 892905419, 6, 8, 9],
['assets/examples/chair1.jpeg', 892905419, 6, 8, 9],
['assets/examples/park.webp', 892905419, 6, 8, 9],
['assets/examples/car.jpeg', 709736989, 6, 8, 9],
['assets/examples/ian.jpeg', 709736989, 6, 8, 9],
['assets/examples/chair.jpeg', 1106204668, 6, 8, 9],
['assets/examples/door.jpeg', 709736989, 6, 8, 9],
['assets/examples/carpet2.webp', 892905419, 6, 8, 9],
['assets/examples/house.jpeg', 709736989, 6, 8, 9],
['assets/examples/house2.jpeg', 709736989, 6, 8, 9],],
inputs=[input_image, seed, scale_t, scale_f, scale_s],
outputs=None,
fn=None,
cache_examples=False,
)
ips = [input_mask, input_mask, prompt, a_prompt, n_prompt, num_samples, ddim_steps, guess_mode, strength,
scale_s, scale_f, scale_t, seed, eta, dil, masking, free_form_obj_var, dil, free_form_obj_var, ignore_structure]
ips_save = [input_mask, prompt, a_prompt, n_prompt, ddim_steps,
scale_s, scale_f, scale_t, seed, dil, interpolation, free_form_obj_var]
run_button.click(fn=process_wrapper, inputs=[img_edit, *ips], outputs=[result_gallery])
save_button.click(fn=save_result_wrapper, inputs=[img_edit, *ips_save])
block = gr.Blocks(css=css, theme=theme).queue()
with block:
gr.HTML(
"""
<div style="text-align: center; max-width: 1200px; margin: 20px auto;">
<h1 style="font-weight: 900; font-size: 3rem; margin: 0rem">
PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor
</h1>
<h3 style="margin-top: 0.6rem; margin-bottom: 1rem">Picsart AI Research</h3>
<h2 style="font-weight: 450; font-size: 1rem; margin-top: 0.8rem; margin-bottom: 0.8rem">
PAIR diffusion provides comprehensive multi-modal editing capabilities to edit real images without the need of inverting them. The current suite contains
<span style="color: #01feee;">Object Variation</span>, <span style="color: #4f82d9;">Edit Appearance of any object using a reference image and text</span>,
<span style="color: #d402bf;">Add any object from a reference image in the input image</span>. This operations can be mixed with each other to
develop new editing operations in future.
</ul>
</h2>
</div>
""")
with gr.Tab('Edit Appearance'):
create_app_demo()
with gr.Tab('Object Variation Free Form Mask'):
create_free_form_obj_variation_demo()
with gr.Tab('Object Variation'):
create_obj_variation_demo()
with gr.Tab('Add Objects'):
create_add_obj_demo()
block.queue(max_size=20)
block.launch(share=True)