| """ |
| 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() |
|
|
