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Running
on
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Running
on
Zero
File size: 5,506 Bytes
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import gradio as gr
import random
def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
if randomize_seed:
seed = random.randint(0, 100000000)
return seed
examples = [
[
"condition/example/t2i/multigen/landscape.png",
"Landscape photos with snow on the mountains in the distance and clear reflections in the lake near by",
# "(512, 512)"
],
[
"condition/example/t2i/multigen/girl.jpg",
"A girl with blue hair",# "(512, 512)"
],
[
"condition/example/t2i/multigen/eye.png",
"A vivid drawing of an eye with a few pencils nearby",# "(512, 512)"
],
# [
# "condition/example/t2i/multi_resolution/bird.jpg", "colorful bird",
# "(921, 564)"
# ],
]
def create_demo(process):
with gr.Blocks() as demo:
with gr.Row():
with gr.Column():
image = gr.Image()
prompt = gr.Textbox(label="Prompt")
run_button = gr.Button("Run")
with gr.Accordion("Advanced options", open=False):
preprocessor_name = gr.Radio(
label="Preprocessor",
choices=[
"Hed",
"Canny",
"Lineart",
"No preprocess",
],
type="value",
value="Hed",
info='Edge type.',
)
canny_low_threshold = gr.Slider(
label="Canny low threshold",
minimum=0,
maximum=255,
value=100,
step=50)
canny_high_threshold = gr.Slider(
label="Canny high threshold",
minimum=0,
maximum=255,
value=200,
step=50)
cfg_scale = gr.Slider(label="Guidance scale",
minimum=0.1,
maximum=30.0,
value=2,
step=0.1)
control_strength = gr.Slider(minimum=0., maximum=1.0, step=0.1, value=0.5, label="control_strength")
# relolution = gr.Slider(label="(H, W)",
# minimum=384,
# maximum=768,
# value=512,
# step=16)
top_k = gr.Slider(minimum=1,
maximum=16384,
step=1,
value=2000,
label='Top-K')
top_p = gr.Slider(minimum=0.,
maximum=1.0,
step=0.1,
value=1.0,
label="Top-P")
temperature = gr.Slider(minimum=0.,
maximum=1.0,
step=0.1,
value=1.0,
label='Temperature')
seed = gr.Slider(label="Seed",
minimum=0,
maximum=100000000,
step=1,
value=0)
randomize_seed = gr.Checkbox(label="Randomize seed",
value=True)
with gr.Column():
result = gr.Gallery(label="Output",
show_label=False,
height='800px',
columns=2,
object_fit="scale-down")
gr.Examples(
examples=examples,
inputs=[
image,
prompt,
# relolution,
]
)
inputs = [
image,
prompt,
cfg_scale,
temperature,
top_k,
top_p,
seed,
canny_low_threshold,
canny_high_threshold,
control_strength,
preprocessor_name,
]
# prompt.submit(
# fn=randomize_seed_fn,
# inputs=[seed, randomize_seed],
# outputs=seed,
# queue=False,
# api_name=False,
# ).then(
# fn=process,
# inputs=inputs,
# outputs=result,
# api_name=False,
# )
run_button.click(
fn=randomize_seed_fn,
inputs=[seed, randomize_seed],
outputs=seed,
queue=False,
api_name=False,
).then(
fn=process,
inputs=inputs,
outputs=result,
api_name="edge",
)
return demo
if __name__ == "__main__":
from model import Model
model = Model()
demo = create_demo(model.process_edge)
demo.queue().launch(share=False, server_name="0.0.0.0")
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