import gradio as gr
from pops import PopsPipelines
import spaces
BLOCK_WIDTH = 250
BLOCK_HEIGHT = 270
FONT_SIZE = 3.5
pops_pipelines = PopsPipelines()
@spaces.GPU
def run_equation_1(object_path, text, texture_path):
image = pops_pipelines.run_instruct_texture(object_path, text, texture_path)
return image
@spaces.GPU
def run_equation_2(object_path, texture_path, scene_path):
image = pops_pipelines.run_texture_scene(object_path, texture_path, scene_path)
return image
with gr.Blocks(css='style.css') as demo:
gr.HTML('''pOps: Photo-Inspired Diffusion Operators
''')
gr.HTML('')
gr.HTML(
'Our method learns operators that are applied directly in the image embedding space, resulting in a variety of semantic operations that can then be realized as images using an image diffusion model.
')
with gr.Row(equal_height=True,elem_classes='justified-element'):
with gr.Column(scale=0,min_width=BLOCK_WIDTH):
object_path_eq_1 = gr.Image(label="Upload object image", type="filepath",width=BLOCK_WIDTH,height=BLOCK_HEIGHT)
with gr.Column(scale=0,min_width=50):
gr.HTML(f'''O
''')
with gr.Column(scale=0,min_width=200):
with gr.Group(elem_classes='instruct'):
text_eq_1 = gr.Textbox(value="",label="Enter adjective",max_lines=1,placeholder='e.g. melting, shiny, spiky',elem_classes='vertical-center')
with gr.Column(scale=0,min_width=50):
gr.HTML(f'''O
''')
with gr.Column(scale=0,min_width=BLOCK_WIDTH):
texture_path_eq_1 = gr.Image(label="Upload texture image", type="filepath",width=BLOCK_WIDTH,height=BLOCK_HEIGHT)
with gr.Column(scale=0,min_width=50):
gr.HTML(f'''=
''')
with gr.Column(scale=0,min_width=BLOCK_WIDTH):
output_eq_1 = gr.Image(label="Output",width=BLOCK_WIDTH,height=BLOCK_HEIGHT)
with gr.Row(equal_height=True, elem_classes='justified-element'):
run_button_eq_1 = gr.Button("Run Instruct and Texture Equation",elem_classes='small-elem')
run_button_eq_1.click(fn=run_equation_1,inputs=[object_path_eq_1, text_eq_1, texture_path_eq_1],outputs=[output_eq_1])
with gr.Row(equal_height=True, elem_classes='justified-element'):
pass
with gr.Row(equal_height=True,elem_classes='justified-element'):
with gr.Column(scale=0,min_width=BLOCK_WIDTH):
object_path_eq_2 = gr.Image(label="Upload object image", type="filepath",width=BLOCK_WIDTH,height=BLOCK_HEIGHT)
with gr.Column(scale=0,min_width=50):
gr.HTML(f'''O
''')
with gr.Column(scale=0,min_width=BLOCK_WIDTH):
texture_path_eq_2 = gr.Image(label="Upload texture image", type="filepath",width=BLOCK_WIDTH,height=BLOCK_HEIGHT)
# texture_path = gr.Image(label="Upload texture image", type="filepath",width=BLOCK_WIDTH,height=BLOCK_HEIGHT)
with gr.Column(scale=0,min_width=50):
gr.HTML(f'''O
''')
with gr.Column(scale=0,min_width=BLOCK_WIDTH):
scene_path_eq_2 = gr.Image(label="Upload scene image", type="filepath",width=BLOCK_WIDTH,height=BLOCK_HEIGHT)
with gr.Column(scale=0,min_width=50):
gr.HTML(f'''=
''')
with gr.Column(scale=0,min_width=BLOCK_WIDTH):
output_eq_2 = gr.Image(label="Output",width=BLOCK_WIDTH,height=BLOCK_HEIGHT)
with gr.Row(equal_height=True, elem_classes='justified-element'):
run_button_eq_2 = gr.Button("Run Texture and Scene Equation",elem_classes='small-elem')
run_button_eq_2.click(fn=run_equation_2,inputs=[object_path_eq_2, texture_path_eq_2, scene_path_eq_2],outputs=[output_eq_2])
with gr.Row(equal_height=True, elem_classes='justified-element'):
with gr.Column(scale=1):
examples = [
['inputs/birmingham-museums-trust-q2OwlfXAYfo-unsplash.jpg', 'enormous',
'inputs/mihaly-varga-AQFfdEY3X4Q-unsplash.jpg'],
['inputs/r-n-tyfqOL1FAQc-unsplash.jpg', 'group', 'inputs/george-webster-p1VZ5IbT2Tg-unsplash.jpg'],
]
gr.Examples(examples=examples,
inputs=[object_path_eq_1, text_eq_1, texture_path_eq_1],
outputs=[output_eq_1],
fn=run_equation_1,
cache_examples=False)
examples_2 = [
['inputs/hannah-pemberton-3d82e5_ylGo-unsplash.jpg', 'inputs/engin-akyurt-aXVro7lQyUM-unsplash.jpg', 'inputs/alexandra-zelena-phskyemu_c4-unsplash.jpg'],
]
gr.Examples(examples=examples_2,
inputs=[object_path_eq_2, texture_path_eq_2, scene_path_eq_2],
outputs=[output_eq_2],
fn=run_equation_2,
cache_examples=False)
with gr.Column(scale=1):
gr.HTML('''
🎶 Learn More 🎶
Audio track for the teaser video was generated with the help of suno.
''')
demo.queue().launch()