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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, image_generation_config_ui
from output import UpsamplingOutput
from utils import (
PEOPLE_TAGS,
gradio_copy_text,
COPY_ACTION_JS,
)
NORMALIZE_RATING_TAG = {
"<|rating:sfw|>": "",
"<|rating:general|>": "",
"<|rating:sensitive|>": "sensitive",
"<|rating:nsfw|>": "nsfw",
"<|rating:questionable|>": "nsfw",
"<|rating:explicit|>": "nsfw, explicit",
}
def animagine_xl_v3_1(output: UpsamplingOutput):
# separate people tags (e.g. 1girl)
people_tags = []
other_general_tags = []
for tag in output.general_tags.split(","):
tag = tag.strip()
if tag in PEOPLE_TAGS:
people_tags.append(tag)
else:
other_general_tags.append(tag)
return ", ".join(
[
part.strip()
for part in [
*people_tags,
output.character_tags,
output.copyright_tags,
*other_general_tags,
output.upsampled_tags,
NORMALIZE_RATING_TAG[output.rating_tag],
]
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],
):
def _parse_upsampling_output(*args) -> tuple[str, str, dict, dict]:
output = upsampler(*args)
print(output)
return (
animagine_xl_v3_1(output),
elapsed_time_format(output.elapsed_time),
gr.update(
interactive=True,
),
gr.update(
interactive=True,
),
)
return _parse_upsampling_output
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()
with gr.Column():
with gr.Group():
output_text = gr.TextArea(label="Output tags", interactive=False)
copy_btn = gr.Button(
value="Copy to clipboard",
interactive=False,
)
elapsed_time_md = gr.Markdown(label="Elapsed time", value="")
generate_image_btn = gr.Button(
value="Generate image with this prompt!",
interactive=False,
)
accordion, image_generation_config_components = (
image_generation_config_ui()
)
output_image = gr.Gallery(
label="Generated image",
show_label=True,
columns=1,
preview=True,
visible=True,
)
gr.Examples(
examples=[
[
"original",
"",
"1girl, solo, upper body, :d",
"general",
"tall",
"long",
"none",
"768x1344",
],
[
"original",
"",
"1girl, solo, blue theme, limited palette",
"sfw",
"ultra_wide",
"long",
"lax",
"1536x640",
],
[
"",
"",
"4girls",
"sfw",
"tall",
"very_long",
"lax",
"768x1344",
],
[
"original",
"",
"1girl, solo, upper body, looking at viewer, profile picture",
"sfw",
"square",
"medium",
"none",
"1024x1024",
],
[
"",
"",
"no humans, scenery, spring (season)",
"general",
"ultra_wide",
"medium",
"lax",
"1536x640",
],
[
"sousou no frieren",
"frieren",
"1girl, solo",
"general",
"tall",
"long",
"lax",
"768x1344",
],
[
"honkai: star rail",
"firefly (honkai: star rail)",
"1girl, solo",
"sfw",
"tall",
"medium",
"lax",
"768x1344",
],
[
"honkai: star rail",
"silver wolf (honkai: star rail)",
"1girl, solo, annoyed",
"sfw",
"tall",
"long",
"lax",
"768x1344",
],
[
"chuunibyou demo koi ga shitai!",
"takanashi rikka",
"1girl, solo",
"sfw",
"ultra_tall",
"medium",
"lax",
"640x1536",
],
],
inputs=[
*v2.get_inputs()[1:8],
image_generation_config_components[0], # image_size
],
)
v2.get_generate_btn().click(
parse_upsampling_output(v2.on_generate),
inputs=[
*v2.get_inputs(),
],
outputs=[output_text, elapsed_time_md, copy_btn, generate_image_btn],
)
copy_btn.click(gradio_copy_text, inputs=[output_text], js=COPY_ACTION_JS)
generate_image_btn.click(
image_generator.generate,
inputs=[output_text, *image_generation_config_components],
outputs=[output_image],
)
ui.launch()
if __name__ == "__main__":
main()
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