Spaces:
Running
on
Zero
Running
on
Zero
File size: 3,900 Bytes
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from __future__ import annotations
import gradio as gr
import spaces
from PIL import Image
import torch
from my_run import run as run_model
DESCRIPTION = '''# Turbo Edit
'''
@spaces.GPU
def main_pipeline(
input_image: str,
src_prompt: str,
tgt_prompt: str,
seed: int,
w1: float,
# w2: float,
):
w2 = 1.0
res_image = run_model(input_image, src_prompt, tgt_prompt, seed, w1, w2)
return res_image
with gr.Blocks(css='app/style.css') as demo:
gr.Markdown(DESCRIPTION)
gr.HTML(
'''<a href="https://huggingface.co/spaces/garibida/ReNoise-Inversion?duplicate=true">
<img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>Duplicate the Space to run privately without waiting in queue''')
with gr.Row():
with gr.Column():
input_image = gr.Image(
label="Input image",
type="filepath",
height=512,
width=512
)
src_prompt = gr.Text(
label='Source Prompt',
max_lines=1,
placeholder='Source Prompt',
)
tgt_prompt = gr.Text(
label='Target Prompt',
max_lines=1,
placeholder='Target Prompt',
)
with gr.Accordion("Advanced Options", open=False):
seed = gr.Slider(
label='seed',
minimum=0,
maximum=16*1024,
value=7865,
step=1
)
w1 = gr.Slider(
label='w',
minimum=1.0,
maximum=3.0,
value=1.5,
step=0.05
)
# w2 = gr.Slider(
# label='w2',
# minimum=1.0,
# maximum=3.0,
# value=1.0,
# step=0.05
# )
run_button = gr.Button('Edit')
with gr.Column():
# result = gr.Gallery(label='Result')
result = gr.Image(
label="Result",
type="pil",
height=512,
width=512
)
examples = [
[
"demo_im/WhatsApp Image 2024-05-17 at 17.32.53.jpeg", #input_image
"a painting of a white cat sleeping on a lotus flower", #src_prompt
"a painting of a white cat sleeping on a lotus flower", #tgt_prompt
4759, #seed
1.0, #w1
# 1.1, #w2
],
[
"demo_im/pexels-pixabay-458976.less.png", #input_image
"a squirrel standing in the grass", #src_prompt
"a squirrel standing in the grass", #tgt_prompt
6128, #seed
1.25, #w1
# 1.1, #w2
],
]
gr.Examples(examples=examples,
inputs=[
input_image,
src_prompt,
tgt_prompt,
seed,
w1,
# w2,
],
outputs=[
result
],
fn=main_pipeline,
cache_examples=True)
inputs = [
input_image,
src_prompt,
tgt_prompt,
seed,
w1,
# w2,
]
outputs = [
result
]
run_button.click(fn=main_pipeline, inputs=inputs, outputs=outputs)
demo.queue(max_size=50).launch(share=True, max_threads=100) |