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Running
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Zero
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from typing import Callable
from PIL import Image
import gradio as gr
from v2 import V2UI
from diffusion import ImageGenerator
from output import UpsamplingOutput
from utils import QUALITY_TAGS, NEGATIVE_PROMPT, IMAGE_SIZE_OPTIONS, IMAGE_SIZES
def animagine_xl_v3_1(output: UpsamplingOutput):
return ", ".join(
[
part.strip()
for part in [
output.character_tags,
output.copyright_tags,
output.general_tags,
output.upsampled_tags,
(
output.rating_tag
if output.rating_tag not in ["<|rating:sfw|>", "<|rating:general|>"]
else ""
),
]
if part.strip() != ""
]
)
def elapsed_time_format(elapsed_time: float) -> str:
return f"Elapsed: {elapsed_time:.2f} seconds"
def parse_upsampling_output(
upsampler: Callable[..., UpsamplingOutput],
image_generator: Callable[..., Image.Image],
):
def _parse_upsampling_output(
generate_image: bool, *args
) -> tuple[str, str, Image.Image | None]:
output = upsampler(*args)
print(output)
if not generate_image:
return (
animagine_xl_v3_1(output),
elapsed_time_format(output.elapsed_time),
None,
)
# generate image
[
image_size_option,
quality_tags,
negative_prompt,
num_inference_steps,
guidance_scale,
] = args[
7:
] # remove the first 7 arguments for upsampler
width, height = IMAGE_SIZES[image_size_option]
image = image_generator(
", ".join([animagine_xl_v3_1(output), quality_tags]),
negative_prompt,
height,
width,
num_inference_steps,
guidance_scale,
)
return (
animagine_xl_v3_1(output),
elapsed_time_format(output.elapsed_time),
image,
)
return _parse_upsampling_output
def toggle_visible_output_image(generate_image: bool):
return gr.update(
visible=generate_image,
)
def image_generation_config_ui():
with gr.Accordion(label="Image generation config", open=True) as accordion:
image_size = gr.Radio(
label="Image size",
choices=list(IMAGE_SIZE_OPTIONS.keys()),
value=list(IMAGE_SIZE_OPTIONS.keys())[3], # tall
)
quality_tags = gr.Textbox(
label="Quality tags",
placeholder=QUALITY_TAGS["default"],
value=QUALITY_TAGS["default"],
)
negative_prompt = gr.Textbox(
label="Negative prompt",
placeholder=NEGATIVE_PROMPT["default"],
value=NEGATIVE_PROMPT["default"],
)
num_inference_steps = gr.Slider(
label="Num inference steps",
minimum=20,
maximum=30,
step=1,
value=25,
)
guidance_scale = gr.Slider(
label="Guidance scale",
minimum=0.0,
maximum=10.0,
step=0.5,
value=7.0,
)
return accordion, [
image_size,
quality_tags,
negative_prompt,
num_inference_steps,
guidance_scale,
]
def description_ui():
gr.Markdown(
"""
# Danbooru Tags Transformer V2 Demo
"""
)
def main():
v2 = V2UI()
print("Loading diffusion model...")
image_generator = ImageGenerator()
print("Loaded.")
with gr.Blocks() as ui:
description_ui()
with gr.Row():
with gr.Column():
v2.ui()
generate_image_check = gr.Checkbox(
label="Also generate image", value=True
)
accordion, image_generation_config_components = (
image_generation_config_ui()
)
with gr.Column():
output_text = gr.TextArea(label="Output tags", interactive=False)
elapsed_time_md = gr.Markdown(label="Elapsed time", value="")
output_image = gr.Gallery(
label="Output image",
columns=1,
preview=True,
show_label=False,
visible=True,
)
gr.Examples(
examples=[
["original", "", "1girl, solo", "832x1216"],
["original", "", "3girls, 2boys", "1536x640"],
[
"sousou no frieren",
"frieren (sousou no frieren)",
"1girl, solo",
"832x1216",
],
[
"honkai: star rail",
"silver wolf (honkai: star rail)",
"1girl, solo",
"832x1216",
],
[
"bocchi the rock!",
"gotoh hitori, kita ikuyo, ijichi nijika, yamada ryo",
"4girls, multiple girls",
"1216x832",
],
[
"chuunibyou demo koi ga shitai!",
"takanashi rikka",
"1girl, solo",
"640x1536",
],
],
inputs=[
*v2.get_inputs()[1:4],
image_generation_config_components[0], # image size
],
)
v2.get_generate_btn().click(
parse_upsampling_output(v2.on_generate, image_generator.generate),
inputs=[
generate_image_check,
*v2.get_inputs(),
*image_generation_config_components,
],
outputs=[output_text, elapsed_time_md, output_image],
)
generate_image_check.change(
toggle_visible_output_image,
inputs=[generate_image_check],
outputs=[output_image],
)
ui.launch()
if __name__ == "__main__":
main()
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