import argparse
import os
from importlib.util import find_spec
# Improved GPU handling and progress bars
os.environ["ZEROGPU_V2"] = "1"
# Use Rust-based downloader
if find_spec("hf_transfer"):
os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
import gradio as gr
from huggingface_hub._snapshot_download import snapshot_download
from lib import (
Config,
generate,
read_file,
read_json,
)
# Update refresh button hover text
seed_js = """
(seed) => {
const button = document.getElementById("refresh");
button.style.setProperty("--seed", `"${seed}"`);
return seed;
}
"""
# The CSS `content` attribute expects a string so we need to wrap the number in quotes
refresh_seed_js = """
() => {
const n = Math.floor(Math.random() * Number.MAX_SAFE_INTEGER);
const button = document.getElementById("refresh");
button.style.setProperty("--seed", `"${n}"`);
return n;
}
"""
# Update width and height on aspect ratio change
aspect_ratio_js = """
(ar, w, h) => {
if (!ar) return [w, h];
const [width, height] = ar.split(",");
return [parseInt(width), parseInt(height)];
}
"""
# Show "Custom" aspect ratio when manually changing width or height, or one of the predefined ones
custom_aspect_ratio_js = """
(w, h) => {
if (w === 384 && h === 672) return "384,672";
if (w === 448 && h === 576) return "448,576";
if (w === 512 && h === 512) return "512,512";
if (w === 576 && h === 448) return "576,448";
if (w === 672 && h === 384) return "672,384";
return null;
}
"""
random_prompt_js = f"""
(prompt) => {{
const prompts = {read_json("data/prompts.json")};
const filtered = prompts.filter(p => p !== prompt);
return filtered[Math.floor(Math.random() * filtered.length)];
}}
"""
with gr.Blocks(
head=read_file("./partials/head.html"),
css="./app.css",
js="./app.js",
theme=gr.themes.Default(
# colors
neutral_hue=gr.themes.colors.gray,
primary_hue=gr.themes.colors.orange,
secondary_hue=gr.themes.colors.blue,
# sizing
text_size=gr.themes.sizes.text_md,
radius_size=gr.themes.sizes.radius_sm,
spacing_size=gr.themes.sizes.spacing_md,
# fonts
font=[gr.themes.GoogleFont("Inter"), "sans-serif"],
font_mono=[gr.themes.GoogleFont("Ubuntu Mono"), "monospace"],
).set(
layout_gap="8px",
block_shadow="0 0 #0000",
block_shadow_dark="0 0 #0000",
block_background_fill=gr.themes.colors.gray.c50,
block_background_fill_dark=gr.themes.colors.gray.c900,
),
) as demo:
gr.HTML(read_file("./partials/intro.html"))
with gr.Tabs():
with gr.TabItem("đ Home"):
with gr.Column():
output_images = gr.Gallery(
elem_classes=["gallery"],
show_share_button=False,
object_fit="cover",
interactive=False,
show_label=False,
label="Output",
format="png",
columns=2,
)
positive_prompt = gr.Textbox(
placeholder="What do you want to see?",
autoscroll=False,
show_label=False,
label="Prompt",
max_lines=3,
lines=3,
)
with gr.Row():
generate_btn = gr.Button("Generate", variant="primary")
random_btn = gr.Button(
elem_classes=["icon-button", "popover"],
variant="secondary",
elem_id="random",
min_width=0,
value="đ˛",
)
refresh_btn = gr.Button(
elem_classes=["icon-button", "popover"],
variant="secondary",
elem_id="refresh",
min_width=0,
value="đ",
)
clear_btn = gr.ClearButton(
elem_classes=["icon-button", "popover"],
components=[output_images],
variant="secondary",
elem_id="clear",
min_width=0,
value="đī¸",
)
with gr.TabItem("âī¸ Settings", elem_id="settings"):
# Prompt settings
gr.HTML("Prompt
")
with gr.Row():
negative_prompt = gr.Textbox(
label="Negative Prompt",
value="nsfw, ",
lines=1,
)
# Model settings
gr.HTML("Model
")
with gr.Row():
model = gr.Dropdown(
choices=Config.MODELS,
value=Config.MODEL,
filterable=False,
label="Checkpoint",
min_width=240,
)
scheduler = gr.Dropdown(
choices=Config.SCHEDULERS.keys(),
value=Config.SCHEDULER,
elem_id="scheduler",
label="Scheduler",
filterable=False,
)
# Generation settings
gr.HTML("Generation
")
with gr.Row():
guidance_scale = gr.Slider(
value=Config.GUIDANCE_SCALE,
label="Guidance Scale",
minimum=1.0,
maximum=15.0,
step=0.1,
)
inference_steps = gr.Slider(
value=Config.INFERENCE_STEPS,
label="Inference Steps",
minimum=1,
maximum=50,
step=1,
)
deepcache_interval = gr.Slider(
value=Config.DEEPCACHE_INTERVAL,
label="DeepCache",
minimum=1,
maximum=4,
step=1,
)
with gr.Row():
width = gr.Slider(
value=Config.WIDTH,
label="Width",
minimum=256,
maximum=768,
step=32,
)
height = gr.Slider(
value=Config.HEIGHT,
label="Height",
minimum=256,
maximum=768,
step=32,
)
aspect_ratio = gr.Dropdown(
value=f"{Config.WIDTH},{Config.HEIGHT}",
label="Aspect Ratio",
filterable=False,
choices=[
("Custom", None),
("4:7 (384x672)", "384,672"),
("7:9 (448x576)", "448,576"),
("1:1 (512x512)", "512,512"),
("9:7 (576x448)", "576,448"),
("7:4 (672x384)", "672,384"),
],
)
with gr.Row():
num_images = gr.Dropdown(
choices=list(range(1, 5)),
value=Config.NUM_IMAGES,
filterable=False,
label="Images",
)
scale = gr.Dropdown(
choices=[(f"{s}x", s) for s in Config.SCALES],
filterable=False,
value=Config.SCALE,
label="Scale",
)
seed = gr.Number(
value=-1,
label="Seed",
minimum=-1,
maximum=(2**64) - 1,
)
with gr.Row():
use_karras = gr.Checkbox(
elem_classes=["checkbox"],
label="Karras Ī",
value=True,
)
# Image-to-Image settings
gr.HTML("Image-to-Image
")
with gr.Row():
image_input = gr.Image(
show_share_button=False,
label="Initial Image",
min_width=640,
format="png",
type="pil",
)
with gr.Row():
controlnet_input = gr.Image(
show_share_button=False,
label="Control Image",
min_width=320,
format="png",
type="pil",
)
ip_adapter_input = gr.Image(
show_share_button=False,
label="IP-Adapter Image",
min_width=320,
format="png",
type="pil",
)
with gr.Row():
denoising_strength = gr.Slider(
label="Initial Image Strength",
value=Config.DENOISING_STRENGTH,
minimum=0.0,
maximum=1.0,
step=0.1,
)
controlnet_annotator = gr.Dropdown(
label="ControlNet Annotator",
# TODO: annotators should be in config with names
choices=[("Canny", "canny")],
value=Config.ANNOTATOR,
filterable=False,
)
with gr.Row():
use_ip_adapter_face = gr.Checkbox(
label="Use IP-Adapter Face",
elem_classes=["checkbox"],
value=False,
)
with gr.TabItem("âšī¸ Info"):
gr.Markdown(read_file("DOCS.md"))
# Random prompt on click
random_btn.click(
None, inputs=[positive_prompt], outputs=[positive_prompt], js=random_prompt_js
)
# Update seed on click
refresh_btn.click(None, inputs=[], outputs=[seed], js=refresh_seed_js)
# Update seed button hover text
seed.change(None, inputs=[seed], outputs=[], js=seed_js)
# Update width and height on aspect ratio change
aspect_ratio.input(
None,
inputs=[aspect_ratio, width, height],
outputs=[width, height],
js=aspect_ratio_js,
)
# Show "Custom" aspect ratio when manually changing width or height
gr.on(
triggers=[width.input, height.input],
fn=None,
inputs=[width, height],
outputs=[aspect_ratio],
js=custom_aspect_ratio_js,
)
# Generate images
gr.on(
triggers=[generate_btn.click, positive_prompt.submit],
fn=generate,
api_name="generate",
outputs=[output_images],
inputs=[
positive_prompt,
negative_prompt,
image_input,
controlnet_input,
ip_adapter_input,
seed,
model,
scheduler,
controlnet_annotator,
width,
height,
guidance_scale,
inference_steps,
denoising_strength,
deepcache_interval,
scale,
num_images,
use_karras,
use_ip_adapter_face,
],
)
if __name__ == "__main__":
parser = argparse.ArgumentParser(add_help=False, allow_abbrev=False)
parser.add_argument("-s", "--server", type=str, metavar="STR", default="0.0.0.0")
parser.add_argument("-p", "--port", type=int, metavar="INT", default=7860)
args = parser.parse_args()
token = os.environ.get("HF_TOKEN", None)
for repo_id, allow_patterns in Config.HF_REPOS.items():
snapshot_download(
repo_id,
repo_type="model",
revision="main",
token=token,
allow_patterns=allow_patterns,
ignore_patterns=None,
)
# https://www.gradio.app/docs/gradio/interface#interface-queue
demo.queue(default_concurrency_limit=1).launch(
server_name=args.server,
server_port=args.port,
)