Update app.py
Browse files
app.py
CHANGED
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@@ -1,5 +1,6 @@
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import os
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import gc
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import gradio as gr
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import numpy as np
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import torch
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@@ -8,10 +9,14 @@ import spaces
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import config
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import utils
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import logging
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-
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from datetime import datetime
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from diffusers.models import AutoencoderKL
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from diffusers import StableDiffusionXLPipeline, StableDiffusionXLImg2ImgPipeline
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from config import (
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MODEL,
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MIN_IMAGE_SIZE,
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@@ -26,8 +31,6 @@ from config import (
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aspect_ratios,
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style_list,
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)
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import time
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from typing import List, Dict, Tuple, Optional
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# Enhanced logging configuration
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logging.basicConfig(
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@@ -50,10 +53,27 @@ torch.backends.cuda.matmul.allow_tf32 = True
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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logger.info(f"Using device: {device}")
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class GenerationError(Exception):
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"""Custom exception for generation errors"""
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pass
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def validate_prompt(prompt: str) -> str:
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"""Validate and clean up the input prompt."""
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if not isinstance(prompt, str):
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@@ -69,6 +89,9 @@ def validate_prompt(prompt: str) -> str:
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# Only check if the prompt is completely empty or only whitespace
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if not prompt or prompt.isspace():
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raise GenerationError("Prompt cannot be empty")
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return prompt.strip()
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def validate_dimensions(width: int, height: int) -> None:
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@@ -124,7 +147,7 @@ def generate(
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# Process prompts
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if add_quality_tags:
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prompt = "masterpiece, high score, great score, absurdres, {prompt}"
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prompt, negative_prompt = utils.preprocess_prompt(
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styles, style_selector, prompt, negative_prompt
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@@ -257,121 +280,151 @@ else:
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# Process styles
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styles = {k["name"]: (k["prompt"], k["negative_prompt"]) for k in style_list}
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gr.HTML(
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"""
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<div class="header">
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<div class="title">ANIM4GINE</div>
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<div class="subtitle">
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</div>
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"""
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)
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with gr.Row():
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with gr.Column(scale=
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with gr.
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label="Prompt",
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max_lines=5,
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placeholder="Describe what you want to generate",
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info="Enter your image generation prompt here. Be specific and descriptive for better results.",
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)
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negative_prompt = gr.Text(
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label="Negative Prompt",
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max_lines=5,
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placeholder="Describe what you want to avoid",
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value=DEFAULT_NEGATIVE_PROMPT,
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info="Specify elements you don't want in the image.",
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)
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add_quality_tags = gr.Checkbox(
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label="Quality Tags",
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value=True,
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info="Add quality-enhancing tags to your prompt automatically.",
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)
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with gr.Accordion(label="More Settings", open=False):
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with gr.Group():
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aspect_ratio_selector = gr.Radio(
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label="Aspect Ratio",
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choices=aspect_ratios,
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value=DEFAULT_ASPECT_RATIO,
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container=True,
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info="Choose the dimensions of your image.",
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)
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with gr.Group(visible=False) as custom_resolution:
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with gr.Row():
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custom_width = gr.Slider(
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label="Width",
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minimum=MIN_IMAGE_SIZE,
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maximum=MAX_IMAGE_SIZE,
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step=8,
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value=1024,
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info=f"Image width (must be between {MIN_IMAGE_SIZE} and {MAX_IMAGE_SIZE})",
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)
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custom_height = gr.Slider(
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label="Height",
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minimum=MIN_IMAGE_SIZE,
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maximum=MAX_IMAGE_SIZE,
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step=8,
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value=1024,
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info=f"Image height (must be between {MIN_IMAGE_SIZE} and {MAX_IMAGE_SIZE})",
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)
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with gr.Group():
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use_upscaler = gr.Checkbox(
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label="Use Upscaler",
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value=False,
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info="Enable high-resolution upscaling.",
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)
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with gr.Row() as upscaler_row:
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upscaler_strength = gr.Slider(
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label="Strength",
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minimum=0,
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maximum=1,
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step=0.05,
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value=0.55,
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visible=False,
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info="Control how much the upscaler affects the final image.",
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)
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upscale_by = gr.Slider(
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label="Upscale by",
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minimum=1,
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maximum=1.5,
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step=0.1,
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value=1.5,
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visible=False,
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info="Multiplier for the final image resolution.",
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)
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with gr.Accordion(label="Advanced Parameters", open=False):
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with gr.Group():
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style_selector = gr.Dropdown(
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label="Style Preset",
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interactive=True,
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choices=list(styles.keys()),
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value="(None)",
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info="Apply a predefined style to your generation.",
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)
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with gr.Group():
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label="
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info="Different samplers can produce varying results.",
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)
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value=0,
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info="Set a specific seed for reproducible results.",
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)
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-
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label="
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value=True,
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info="
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)
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with gr.
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with gr.Row():
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guidance_scale = gr.Slider(
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label="Guidance scale",
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info="Higher values make the image more closely match your prompt.",
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)
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num_inference_steps = gr.Slider(
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label="
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minimum=1,
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maximum=50,
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step=1,
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value=25,
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info="More steps generally
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)
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with gr.Column(scale=
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with gr.Blocks():
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run_button = gr.Button("Generate", variant="primary", elem_id="generate-button")
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result = gr.Gallery(
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label="Generated Images",
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columns=
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height=
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preview=True,
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show_label=True,
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)
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with gr.Accordion(label="Generation Parameters", open=False):
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gr_metadata = gr.JSON(
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label="Image Metadata",
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show_label=True,
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)
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gr.Examples(
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examples=examples,
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inputs=prompt,
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outputs=[result, gr_metadata],
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fn=lambda *args, **kwargs: generate(*args, use_upscaler=True, **kwargs),
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cache_examples=CACHE_EXAMPLES,
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)
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# Discord
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with gr.Row():
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gr.HTML(
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"""
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<
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"""
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)
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-
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use_upscaler.change(
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fn=lambda x: [gr.update(visible=x), gr.update(visible=x)],
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inputs=use_upscaler,
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api_name=False,
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)
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#
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gr.on(
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triggers=[
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prompt.submit,
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import os
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import gc
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import re
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import gradio as gr
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import numpy as np
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import torch
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import config
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import utils
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import logging
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import time
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from datetime import datetime
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from typing import List, Dict, Tuple, Optional
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from PIL import Image, PngImagePlugin
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from diffusers.models import AutoencoderKL
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from diffusers import StableDiffusionXLPipeline, StableDiffusionXLImg2ImgPipeline
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from transformers import pipeline as translation_pipeline
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from config import (
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MODEL,
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MIN_IMAGE_SIZE,
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aspect_ratios,
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style_list,
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)
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# Enhanced logging configuration
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logging.basicConfig(
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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logger.info(f"Using device: {device}")
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# λ²μ νμ΄νλΌμΈ μ΄κΈ°ν (νκΈ β μμ΄)
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translator = translation_pipeline("translation", model="Helsinki-NLP/opus-mt-ko-en")
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class GenerationError(Exception):
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"""Custom exception for generation errors"""
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pass
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def translate_if_korean(prompt: str) -> str:
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"""ν둬ννΈμ νκΈμ΄ ν¬ν¨λμ΄ μμΌλ©΄ μμ΄λ‘ λ²μ"""
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if re.search(r'[γ±-γ
γ
-γ
£κ°-ν£]', prompt):
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logger.info("Korean detected in prompt. Translating to English...")
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try:
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translation = translator(prompt)[0]['translation_text']
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logger.info(f"Translation result: {translation}")
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return translation
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except Exception as e:
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logger.error(f"Translation error: {e}")
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# λ²μ μ€ν¨ μ μλ³Έ ν둬ννΈ μ¬μ©
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return prompt
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return prompt
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def validate_prompt(prompt: str) -> str:
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"""Validate and clean up the input prompt."""
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if not isinstance(prompt, str):
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# Only check if the prompt is completely empty or only whitespace
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if not prompt or prompt.isspace():
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raise GenerationError("Prompt cannot be empty")
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# λ²μ μ μ©: νκΈμ΄ κ°μ§λλ©΄ μμ΄λ‘ λ³ν
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prompt = translate_if_korean(prompt)
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return prompt.strip()
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def validate_dimensions(width: int, height: int) -> None:
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# Process prompts
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if add_quality_tags:
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prompt = f"masterpiece, high score, great score, absurdres, {prompt}"
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prompt, negative_prompt = utils.preprocess_prompt(
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styles, style_selector, prompt, negative_prompt
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# Process styles
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styles = {k["name"]: (k["prompt"], k["negative_prompt"]) for k in style_list}
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# μ¬μ©μ μΈν°νμ΄μ€ (UI) κ°μ : CSS μ€νμΌ λ° λ μ΄μμ μμ
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custom_css = """
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/* λ°°κ²½ λ° κΈμ μμ λ³κ²½ */
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body {
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background-color: #f7f9fc;
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color: #333;
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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}
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/* ν€λ μ€νμΌ */
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.header {
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text-align: center;
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padding: 20px;
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}
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.header .title {
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font-size: 3em;
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font-weight: bold;
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color: #2c3e50;
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}
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.header .subtitle {
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font-size: 1.2em;
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color: #7f8c8d;
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}
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a {
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text-decoration: none;
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color: #3498db;
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}
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/* Discord λ²νΌ μ€νμΌ */
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.discord-btn {
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display: flex;
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align-items: center;
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justify-content: center;
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padding: 10px 20px;
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background: #7289da;
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color: white;
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border-radius: 8px;
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font-weight: bold;
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margin-top: 20px;
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}
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.discord-btn:hover {
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background: #5b6eae;
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}
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.discord-icon {
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width: 24px;
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height: 24px;
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| 329 |
+
margin-right: 8px;
|
| 330 |
+
}
|
| 331 |
+
|
| 332 |
+
/* Gradio κ°€λ¬λ¦¬ μ€νμΌ κ°μ */
|
| 333 |
+
.gradio-gallery {
|
| 334 |
+
border: none;
|
| 335 |
+
box-shadow: none;
|
| 336 |
+
}
|
| 337 |
+
"""
|
| 338 |
+
|
| 339 |
+
with gr.Blocks(css=custom_css, theme="default") as demo:
|
| 340 |
+
# μλ¨ ν€λ
|
| 341 |
gr.HTML(
|
| 342 |
"""
|
| 343 |
<div class="header">
|
| 344 |
<div class="title">ANIM4GINE</div>
|
| 345 |
+
<div class="subtitle">A sleek and intuitive demo for <a href="https://huggingface.co/CagliostroLab/Animagine-XL-4.0" target="_blank">Animagine XL 4.0</a></div>
|
| 346 |
</div>
|
| 347 |
+
"""
|
| 348 |
)
|
| 349 |
|
| 350 |
+
# μ’μΈ‘μ μ
λ ₯ λ° μ€μ , μ°μΈ‘μ κ²°κ³Ό μΆλ ₯ λ°°μΉ
|
| 351 |
with gr.Row():
|
| 352 |
+
with gr.Column(scale=3):
|
| 353 |
+
with gr.Tabs():
|
| 354 |
+
with gr.TabItem("Generate"):
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|
| 355 |
with gr.Group():
|
| 356 |
+
prompt = gr.Textbox(
|
| 357 |
+
label="Prompt",
|
| 358 |
+
lines=4,
|
| 359 |
+
placeholder="Describe what you want to generate...",
|
| 360 |
+
info="Enter your image generation prompt here. νκΈ μ
λ ₯ μ μλμΌλ‘ μμ΄λ‘ λ²μλ©λλ€.",
|
|
|
|
| 361 |
)
|
| 362 |
+
negative_prompt = gr.Textbox(
|
| 363 |
+
label="Negative Prompt",
|
| 364 |
+
lines=4,
|
| 365 |
+
placeholder="Describe what you want to avoid",
|
| 366 |
+
value=DEFAULT_NEGATIVE_PROMPT,
|
| 367 |
+
info="Specify elements you don't want in the image.",
|
|
|
|
|
|
|
| 368 |
)
|
| 369 |
+
add_quality_tags = gr.Checkbox(
|
| 370 |
+
label="Quality Tags",
|
| 371 |
value=True,
|
| 372 |
+
info="Automatically add quality-enhancing tags to your prompt.",
|
| 373 |
)
|
| 374 |
+
with gr.Accordion(label="More Settings", open=False):
|
| 375 |
+
with gr.Column():
|
| 376 |
+
aspect_ratio_selector = gr.Radio(
|
| 377 |
+
label="Aspect Ratio",
|
| 378 |
+
choices=aspect_ratios,
|
| 379 |
+
value=DEFAULT_ASPECT_RATIO,
|
| 380 |
+
container=True,
|
| 381 |
+
info="Choose the dimensions of your image.",
|
| 382 |
+
)
|
| 383 |
+
with gr.Row(visible=False) as custom_resolution:
|
| 384 |
+
custom_width = gr.Slider(
|
| 385 |
+
label="Width",
|
| 386 |
+
minimum=MIN_IMAGE_SIZE,
|
| 387 |
+
maximum=MAX_IMAGE_SIZE,
|
| 388 |
+
step=8,
|
| 389 |
+
value=1024,
|
| 390 |
+
info=f"Image width (between {MIN_IMAGE_SIZE} and {MAX_IMAGE_SIZE})",
|
| 391 |
+
)
|
| 392 |
+
custom_height = gr.Slider(
|
| 393 |
+
label="Height",
|
| 394 |
+
minimum=MIN_IMAGE_SIZE,
|
| 395 |
+
maximum=MAX_IMAGE_SIZE,
|
| 396 |
+
step=8,
|
| 397 |
+
value=1024,
|
| 398 |
+
info=f"Image height (between {MIN_IMAGE_SIZE} and {MAX_IMAGE_SIZE})",
|
| 399 |
+
)
|
| 400 |
+
with gr.Accordion(label="Advanced Parameters", open=False):
|
| 401 |
+
with gr.Row():
|
| 402 |
+
style_selector = gr.Dropdown(
|
| 403 |
+
label="Style Preset",
|
| 404 |
+
choices=list(styles.keys()),
|
| 405 |
+
value="(None)",
|
| 406 |
+
info="Apply a predefined style to your generation.",
|
| 407 |
+
)
|
| 408 |
+
sampler = gr.Dropdown(
|
| 409 |
+
label="Sampler",
|
| 410 |
+
choices=sampler_list,
|
| 411 |
+
value="Euler a",
|
| 412 |
+
info="Different samplers can produce varying results.",
|
| 413 |
+
)
|
| 414 |
+
with gr.Row():
|
| 415 |
+
seed = gr.Slider(
|
| 416 |
+
label="Seed",
|
| 417 |
+
minimum=0,
|
| 418 |
+
maximum=utils.MAX_SEED,
|
| 419 |
+
step=1,
|
| 420 |
+
value=0,
|
| 421 |
+
info="Set a specific seed for reproducible results.",
|
| 422 |
+
)
|
| 423 |
+
randomize_seed = gr.Checkbox(
|
| 424 |
+
label="Randomize seed",
|
| 425 |
+
value=True,
|
| 426 |
+
info="Generate a new random seed for each image.",
|
| 427 |
+
)
|
| 428 |
with gr.Row():
|
| 429 |
guidance_scale = gr.Slider(
|
| 430 |
label="Guidance scale",
|
|
|
|
| 435 |
info="Higher values make the image more closely match your prompt.",
|
| 436 |
)
|
| 437 |
num_inference_steps = gr.Slider(
|
| 438 |
+
label="Inference steps",
|
| 439 |
minimum=1,
|
| 440 |
maximum=50,
|
| 441 |
step=1,
|
| 442 |
value=25,
|
| 443 |
+
info="More steps generally yield higher quality images.",
|
| 444 |
)
|
| 445 |
+
with gr.Row():
|
| 446 |
+
use_upscaler = gr.Checkbox(
|
| 447 |
+
label="Use Upscaler",
|
| 448 |
+
value=False,
|
| 449 |
+
info="Enable high-resolution upscaling.",
|
| 450 |
+
)
|
| 451 |
+
upscaler_strength = gr.Slider(
|
| 452 |
+
label="Upscaler Strength",
|
| 453 |
+
minimum=0,
|
| 454 |
+
maximum=1,
|
| 455 |
+
step=0.05,
|
| 456 |
+
value=0.55,
|
| 457 |
+
visible=False,
|
| 458 |
+
info="Control how strongly the upscaler affects the image.",
|
| 459 |
+
)
|
| 460 |
+
upscale_by = gr.Slider(
|
| 461 |
+
label="Upscale By",
|
| 462 |
+
minimum=1,
|
| 463 |
+
maximum=1.5,
|
| 464 |
+
step=0.1,
|
| 465 |
+
value=1.5,
|
| 466 |
+
visible=False,
|
| 467 |
+
info="Multiplier for the final image resolution.",
|
| 468 |
+
)
|
| 469 |
+
with gr.TabItem("Examples"):
|
| 470 |
+
gr.Markdown(
|
| 471 |
+
"""
|
| 472 |
+
### Example Prompts
|
| 473 |
+
- **Scenic Landscape:** A breathtaking view of a mountain landscape during sunrise.
|
| 474 |
+
- **Cyberpunk City:** A futuristic cyberpunk city with neon lights and towering skyscrapers.
|
| 475 |
+
- **Fantasy Character:** A majestic wizard with a long beard and glowing magical staff.
|
| 476 |
+
"""
|
| 477 |
+
)
|
| 478 |
+
gr.Examples(
|
| 479 |
+
examples=examples,
|
| 480 |
+
inputs=prompt,
|
| 481 |
+
outputs=[],
|
| 482 |
+
cache_examples=CACHE_EXAMPLES,
|
| 483 |
+
)
|
| 484 |
+
run_button = gr.Button("Generate", variant="primary", elem_id="generate-button")
|
| 485 |
|
| 486 |
+
with gr.Column(scale=4):
|
|
|
|
|
|
|
| 487 |
result = gr.Gallery(
|
| 488 |
label="Generated Images",
|
| 489 |
+
columns=2,
|
| 490 |
+
height="600px",
|
|
|
|
| 491 |
show_label=True,
|
| 492 |
+
elem_classes="gradio-gallery",
|
| 493 |
)
|
| 494 |
with gr.Accordion(label="Generation Parameters", open=False):
|
| 495 |
gr_metadata = gr.JSON(
|
| 496 |
label="Image Metadata",
|
| 497 |
show_label=True,
|
| 498 |
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 499 |
|
| 500 |
+
# Discord λ²νΌμ νλ¨ μ€μμ λ°°μΉ
|
| 501 |
with gr.Row():
|
| 502 |
gr.HTML(
|
| 503 |
"""
|
| 504 |
+
<div style="width:100%; display:flex; justify-content:center;">
|
| 505 |
+
<a href="https://discord.com/invite/cqh9tZgbGc" target="_blank" class="discord-btn">
|
| 506 |
+
<svg class="discord-icon" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 127.14 96.36">
|
| 507 |
+
<path fill="currentColor" d="M107.7,8.07A105.15,105.15,0,0,0,81.47,0a72.06,72.06,0,0,0-3.36,6.83A97.68,97.68,0,0,0,49,6.83,72.37,72.37,0,0,0,45.64,0,105.89,105.89,0,0,0,19.39,8.09C2.79,32.65-1.71,56.6.54,80.21h0A105.73,105.73,0,0,0,32.71,96.36,77.7,77.7,0,0,0,39.6,85.25a68.42,68.42,0,0,1-10.85-5.18c.91-.66,1.8-1.34,2.66-2a75.57,75.57,0,0,0,64.32,0c.87.71,1.76,1.39,2.66,2a68.68,68.68,0,0,1-10.87,5.19,77,77,0,0,0,6.89,11.1A105.25,105.25,0,0,0,126.6,80.22h0C129.24,52.84,122.09,29.11,107.7,8.07ZM42.45,65.69C36.18,65.69,31,60,31,53s5-12.74,11.43-12.74S54,46,53.89,53,48.84,65.69,42.45,65.69Zm42.24,0C78.41,65.69,73.25,60,73.25,53s5-12.74,11.44-12.74S96.23,46,96.12,53,91.08,65.69,84.69,65.69Z"/>
|
| 508 |
+
</svg>
|
| 509 |
+
<span class="discord-text">Join our Discord Server</span>
|
| 510 |
+
</a>
|
| 511 |
+
</div>
|
| 512 |
"""
|
| 513 |
)
|
| 514 |
+
|
| 515 |
+
# UI λμ μ
λ°μ΄νΈ: μ
μ€μΌμΌλ¬ μ΅μ
λ° μ»€μ€ν
ν΄μλ μ¬λΌμ΄λ νμ μ μ΄
|
| 516 |
use_upscaler.change(
|
| 517 |
fn=lambda x: [gr.update(visible=x), gr.update(visible=x)],
|
| 518 |
inputs=use_upscaler,
|
|
|
|
| 528 |
api_name=False,
|
| 529 |
)
|
| 530 |
|
| 531 |
+
# νΈλ¦¬κ±° μ€μ : ν둬ννΈ μ
λ ₯, λ²νΌ ν΄λ¦ μ μλ λλ€ν ν μ΄λ―Έμ§ μμ± μ€ν
|
| 532 |
gr.on(
|
| 533 |
triggers=[
|
| 534 |
prompt.submit,
|