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#!/usr/bin/env python
from __future__ import annotations
import gradio as gr
import torch
torch.jit.script = lambda f: f
import spaces
from app_canny import create_demo as create_demo_canny
from app_depth import create_demo as create_demo_depth
from model import Model
from settings import ALLOW_CHANGING_BASE_MODEL, DEFAULT_MODEL_ID, SHOW_DUPLICATE_BUTTON
from transformers.utils.hub import move_cache
move_cache()
DESCRIPTION = "ControlNet"
if not torch.cuda.is_available():
DESCRIPTION += "\n<p>Running on CPU.</p>"
model = Model(base_model_id=DEFAULT_MODEL_ID, task_name="Canny")
with gr.Blocks(css="style.css") as demo:
gr.Markdown(DESCRIPTION)
gr.DuplicateButton(
value="Duplicate Space for private use",
elem_id="duplicate-button",
visible=SHOW_DUPLICATE_BUTTON,
)
with gr.Tabs():
with gr.TabItem("Depth"):
create_demo_depth(model.process_depth)
with gr.TabItem("Canny"):
create_demo_canny(model.process_canny)
with gr.Accordion(label="Base model", open=False):
with gr.Row():
with gr.Column(scale=5):
current_base_model = gr.Text(label="Current base model")
with gr.Column(scale=1):
check_base_model_button = gr.Button("Check current base model")
with gr.Row():
with gr.Column(scale=5):
new_base_model_id = gr.Text(
label="New base model",
max_lines=1,
placeholder="runwayml/stable-diffusion-v1-5",
info="The base model must be compatible with Stable Diffusion v1.5.",
interactive=ALLOW_CHANGING_BASE_MODEL,
)
with gr.Column(scale=1):
change_base_model_button = gr.Button(
"Change base model", interactive=ALLOW_CHANGING_BASE_MODEL
)
if not ALLOW_CHANGING_BASE_MODEL:
gr.Markdown(
"""The base model is not allowed to be changed in this Space so as not to slow down the demo, but it can be changed if you duplicate the Space."""
)
check_base_model_button.click(
fn=lambda: model.base_model_id,
outputs=current_base_model,
queue=False,
api_name="check_base_model",
)
gr.on(
triggers=[new_base_model_id.submit, change_base_model_button.click],
fn=model.set_base_model,
inputs=new_base_model_id,
outputs=current_base_model,
api_name=False,
)
if __name__ == "__main__":
demo.queue(max_size=20).launch()
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