|
import os |
|
import subprocess |
|
from pathlib import Path |
|
|
|
import gradio as gr |
|
|
|
from demo import SdmCompressionDemo |
|
|
|
dest_path_config = Path('checkpoints/BK-SDM-Small_iter50000/unet/config.json') |
|
dest_path_torch_ckpt = Path('checkpoints/BK-SDM-Small_iter50000/unet/diffusion_pytorch_model.bin') |
|
BK_SDM_CONFIG_URL: str = os.getenv('CHECKPOINT_CONFIG', None) |
|
BK_SDM_TORCH_CKPT_URL: str = os.getenv('CHECKPOINT_PYTORCH_BIN', None) |
|
assert BK_SDM_CONFIG_URL is not None |
|
assert BK_SDM_TORCH_CKPT_URL is not None |
|
|
|
subprocess.call( |
|
f"wget --no-check-certificate -O {dest_path_config} {BK_SDM_CONFIG_URL}", |
|
shell=True |
|
) |
|
subprocess.call( |
|
f"wget --no-check-certificate -O {dest_path_torch_ckpt} {BK_SDM_TORCH_CKPT_URL}", |
|
shell=True |
|
) |
|
|
|
if __name__ == "__main__": |
|
servicer = SdmCompressionDemo() |
|
example_list = servicer.get_example_list() |
|
|
|
with gr.Blocks(theme='nota-ai/theme') as demo: |
|
gr.Markdown(Path('docs/header.md').read_text()) |
|
gr.Markdown(Path('docs/description.md').read_text()) |
|
with gr.Row(): |
|
with gr.Column(variant='panel', scale=30): |
|
|
|
text = gr.Textbox(label="Input Prompt", max_lines=5, placeholder="Enter your prompt") |
|
|
|
with gr.Row().style(equal_height=True): |
|
generate_original_button = gr.Button(value="Generate with Original Model", variant="primary") |
|
generate_compressed_button = gr.Button(value="Generate with Compressed Model", variant="primary") |
|
|
|
with gr.Accordion("Advanced Settings", open=False): |
|
negative = gr.Textbox(label=f'Negative Prompt', placeholder=f'Enter aspects to remove (e.g., {"low quality"})') |
|
with gr.Row(): |
|
guidance_scale = gr.Slider(label="Guidance Scale", value=7.5, minimum=4, maximum=11, step=0.5) |
|
steps = gr.Slider(label="Denoising Steps", value=25, minimum=10, maximum=75, step=5) |
|
seed = gr.Slider(0, 999999, label='Random Seed', value=1234, step=1) |
|
|
|
with gr.Tab("Example Prompts"): |
|
examples = gr.Examples(examples=example_list, inputs=[text]) |
|
|
|
with gr.Column(variant='panel', scale=35): |
|
|
|
gr.Markdown('<h2 align="center">Original Stable Diffusion 1.4</h2>') |
|
original_model_output = gr.Image(label="Original Model") |
|
with gr.Row().style(equal_height=True): |
|
original_model_test_time = gr.Textbox(value="", label="Inference Time (sec)") |
|
original_model_error = gr.Markdown() |
|
|
|
with gr.Column(variant='panel', scale=35): |
|
|
|
gr.Markdown('<h2 align="center">Compressed Stable Diffusion (Ours)</h2>') |
|
compressed_model_output = gr.Image(label="Compressed Model") |
|
with gr.Row().style(equal_height=True): |
|
compressed_model_test_time = gr.Textbox(value="", label="Inference Time (sec)") |
|
compressed_model_error = gr.Markdown() |
|
|
|
inputs = [text, negative, guidance_scale, steps, seed] |
|
|
|
|
|
original_model_outputs = [original_model_output, original_model_error, original_model_test_time] |
|
text.submit(servicer.infer_original_model, inputs=inputs, outputs=original_model_outputs) |
|
generate_original_button.click(servicer.infer_original_model, inputs=inputs, outputs=original_model_outputs) |
|
|
|
|
|
compressed_model_outputs = [compressed_model_output, compressed_model_error, compressed_model_test_time] |
|
text.submit(servicer.infer_compressed_model, inputs=inputs, outputs=compressed_model_outputs) |
|
generate_compressed_button.click(servicer.infer_compressed_model, inputs=inputs, outputs=compressed_model_outputs) |
|
|
|
gr.Markdown(Path('docs/footer.md').read_text()) |
|
|
|
demo.queue(concurrency_count=1) |
|
|
|
demo.launch(share=True, auth=("test", "testasdf@@19")) |
|
|
|
|
