|
|
|
|
|
import gradio as gr |
|
|
|
from model import Model |
|
from settings import CACHE_EXAMPLES, MAX_SEED |
|
from utils import randomize_seed_fn |
|
|
|
css=""" |
|
#col-container {max-width: 910px; margin-left: auto; margin-right: auto;} |
|
a {text-decoration-line: underline; font-weight: 600;} |
|
""" |
|
|
|
def create_demo(model: Model) -> gr.Blocks: |
|
|
|
with gr.Blocks(css=css) as demo: |
|
with gr.Box(elem_id="col-container"): |
|
with gr.Row(elem_id='prompt-container'): |
|
image_init = gr.Image(type="filepath", source="upload") |
|
prompt = gr.Text( |
|
label='Prompt', |
|
show_label=False, |
|
max_lines=1, |
|
placeholder='Enter your prompt', |
|
visible=False).style(container=False) |
|
run_button = gr.Button('Run').style(full_width=False) |
|
caption = gr.Textbox(label="Caption from CoCa") |
|
result = gr.Model3D(label='Result', show_label=False) |
|
with gr.Accordion('Advanced options', open=False): |
|
seed = gr.Slider(label='Seed', |
|
minimum=0, |
|
maximum=MAX_SEED, |
|
step=1, |
|
value=0) |
|
randomize_seed = gr.Checkbox(label='Randomize seed', |
|
value=True) |
|
guidance_scale = gr.Slider(label='Guidance scale', |
|
minimum=1, |
|
maximum=20, |
|
step=0.1, |
|
value=15.0) |
|
num_inference_steps = gr.Slider( |
|
label='Number of inference steps', |
|
minimum=1, |
|
maximum=100, |
|
step=1, |
|
value=64) |
|
|
|
|
|
|
|
inputs = [ |
|
image_init, |
|
seed, |
|
guidance_scale, |
|
num_inference_steps, |
|
] |
|
|
|
run_button.click( |
|
fn=randomize_seed_fn, |
|
inputs=[seed, randomize_seed], |
|
outputs=seed, |
|
queue=False, |
|
).then( |
|
fn=model.run_text, |
|
inputs=inputs, |
|
outputs=[caption, result], |
|
api_name='text-to-3d', |
|
) |
|
return demo |
|
|
