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app.py — Hugging Face Space entry point for Sage & Sand Neumorphic theme.
This file runs the live demo that visitors see on your Space page.
"""
import time
import gradio as gr
from theme import SageAndSandNeumorphic, NEUMORPHIC_CSS
with gr.Blocks(
theme=SageAndSandNeumorphic(),
css=NEUMORPHIC_CSS,
title="Sage & Sand Neumorphic",
) as demo:
gr.Markdown(
"""
# 🌿 Sage & Sand — Neumorphic Theme
A warm, soft-extruded Gradio theme for Stable Diffusion interfaces.
Install: `pip install gradio` then copy `theme.py` into your project.
"""
)
with gr.Row():
with gr.Column(scale=1):
prompt = gr.Textbox(label="Prompt", lines=3,
placeholder="A serene landscape at golden hour…")
neg_prompt = gr.Textbox(label="Negative prompt", lines=2,
placeholder="blurry, low quality, watermark…")
with gr.Row():
steps = gr.Slider(1, 150, value=20, step=1, label="Steps")
cfg = gr.Slider(1, 30, value=7, step=0.5, label="CFG Scale")
with gr.Row():
sampler = gr.Dropdown(
["Euler a", "DPM++ 2M", "DPM++ SDE", "DDIM", "UniPC"],
value="Euler a", label="Sampler"
)
faces = gr.Checkbox(label="Restore faces", value=False)
tiling = gr.Checkbox(label="Tiling", value=False)
with gr.Row():
generate_btn = gr.Button("Generate", variant="primary")
interrupt_btn = gr.Button("Interrupt", variant="stop")
with gr.Column(scale=1):
output_image = gr.Image(label="Output", height=360)
with gr.Accordion("Generation info", open=False):
gen_info = gr.Textbox(label="Parameters", lines=4, interactive=False)
with gr.Tabs():
with gr.Tab("Settings"):
with gr.Row():
width = gr.Slider(512, 2048, value=512, step=64, label="Width")
height = gr.Slider(512, 2048, value=512, step=64, label="Height")
with gr.Row():
batch_s = gr.Slider(1, 8, value=1, step=1, label="Batch size")
batch_c = gr.Slider(1, 16, value=1, step=1, label="Batch count")
seed = gr.Number(label="Seed", value=-1, precision=0)
with gr.Tab("ControlNet"):
cn_model = gr.Textbox(label="ControlNet model",
placeholder="control_v11p_sd15_openpose")
cn_weight = gr.Slider(0, 2, value=1, step=0.05, label="Control weight")
cn_start = gr.Slider(0, 1, value=0, step=0.05, label="Starting control step")
cn_end = gr.Slider(0, 1, value=1, step=0.05, label="Ending control step")
with gr.Tab("Hires. fix"):
hires_on = gr.Checkbox(label="Enable Hires. fix", value=False)
hires_upscaler = gr.Dropdown(
["Latent", "ESRGAN_4x", "R-ESRGAN 4x+", "SwinIR_4x"],
value="Latent", label="Upscaler"
)
with gr.Row():
hires_steps = gr.Slider(0, 150, value=0, step=1, label="Hires steps")
hires_denoise = gr.Slider(0, 1, value=0.7, step=0.01, label="Denoising strength")
with gr.Tab("Scripts"):
script = gr.Dropdown(["None", "X/Y/Z plot", "Prompt matrix", "Ultimate SD upscale"],
value="None", label="Script")
if __name__ == "__main__":
demo.launch()
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