ControlNet-v1-1 / app.py
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#!/usr/bin/env python
from __future__ import annotations
import gradio as gr
import torch
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
DESCRIPTION = "# ControlNet v1.1"
if not torch.cuda.is_available():
DESCRIPTION += "\n<p>Running on CPU πŸ₯Ά This demo does not work 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.Button(
"Duplicate Space for private use",
elem_id="duplicate-button",
visible=SHOW_DUPLICATE_BUTTON,
)
# Define the inputs and outputs for the interface
depth_inputs = [
gr.Image(type="numpy", label="Input Image"),
gr.Textbox(label="Prompt"),
gr.Textbox(label="Additional Prompt"),
gr.Textbox(label="Negative Prompt"),
gr.Slider(label="Number of Images", minimum=1, maximum=10, step=1, value=1),
gr.Slider(label="Image Resolution", minimum=256, maximum=1024, step=256, value=512),
gr.Slider(label="Preprocess Resolution", minimum=128, maximum=512, step=1, value=384),
gr.Slider(label="Number of Steps", minimum=1, maximum=100, step=1, value=20),
gr.Slider(label="Guidance Scale", minimum=0.1, maximum=30.0, step=0.1, value=7.5),
gr.Slider(label="Seed", minimum=0, maximum=1000000, step=1, value=0),
gr.Radio(label="Preprocessor", choices=["Midas", "DPT", "None"], value="DPT"),
]
depth_outputs = [
gr.Gallery(label="Output Images"),
]
interfaces = [
gr.Interface(fn=model.process_depth, inputs=depth_inputs, outputs=depth_outputs, live=False),
]
gr.TabbedInterface(interface_list=interfaces, tab_names=["Depth"])
with gr.Accordion(label="Base model", open=False):
with gr.Row():
with gr.Column(scale=5):
current_base_model = gr.Textbox(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.Textbox(
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.update(
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()