Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -3,7 +3,7 @@ import os
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import json
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import time
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import torch
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from PIL import Image
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from tqdm import tqdm
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import gradio as gr
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@@ -55,6 +55,79 @@ def single_condition_generate_image(user_prompt, spatial_img, height, width, see
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clear_cache(pipe.transformer)
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return image
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# Load example images
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def load_examples():
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examples = []
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return examples
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# CSS for improved UI
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css = """
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:root {
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.gr-accent-3 {
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background-color: #f9c06b;
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}
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"""
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# Create the Gradio Blocks interface
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</div>
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""")
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with gr.
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with gr.
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with gr.
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gr.
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<
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user_prompt = gr.Textbox(
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label="Your description",
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placeholder="Describe what you want to see (e.g., a cat sitting by the window)",
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lines=2
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)
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spatial_img = gr.Image(
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label="Reference Image (Optional)",
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type="pil",
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elem_classes="gr-image-upload"
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)
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with gr.Group():
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with gr.Row():
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height = gr.Slider(minimum=256, maximum=1024, step=64, label="Height", value=768)
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width = gr.Slider(minimum=256, maximum=1024, step=64, label="Width", value=768)
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#
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gr.HTML("""
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<div class="gr-footer">
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@@ -312,12 +554,5 @@ with gr.Blocks(css=css) as demo:
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</div>
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""")
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# Link the button to the function
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generate_btn.click(
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single_condition_generate_image,
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inputs=[user_prompt, spatial_img, height, width, seed],
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outputs=output_image
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)
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# Launch the Gradio app
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demo.queue().launch()
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import json
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import time
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import torch
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from PIL import Image, ImageDraw, ImageFont
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from tqdm import tqdm
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import gradio as gr
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clear_cache(pipe.transformer)
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return image
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# New function for multilingual text rendering
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@spaces.GPU()
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def text_rendering_generate_image(user_prompt, input_text, text_color, text_size, text_position, spatial_img, height, width, seed):
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# Combine the system prompt with user prompt
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full_prompt = f"{SYSTEM_PROMPT}, {user_prompt}" if user_prompt else SYSTEM_PROMPT
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# Set the Ghibli LoRA
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lora_path = os.path.join(lora_base_path, "Ghibli.safetensors")
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set_single_lora(pipe.transformer, lora_path, lora_weights=[1], cond_size=512)
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# Process the image
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spatial_imgs = [spatial_img] if spatial_img else []
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image = pipe(
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full_prompt,
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height=int(height),
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width=int(width),
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guidance_scale=3.5,
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num_inference_steps=25,
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max_sequence_length=512,
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generator=torch.Generator("cpu").manual_seed(seed),
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subject_images=[],
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spatial_images=spatial_imgs,
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cond_size=512,
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).images[0]
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# Add text to the generated image if text is provided
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if input_text:
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# Convert to PIL Image if needed
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if not isinstance(image, Image.Image):
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image = Image.fromarray(image)
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# Create a drawing context
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draw = ImageDraw.Draw(image)
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# Try to load a font that supports multilingual text
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try:
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# Attempt to load a system font that supports multilingual text
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font = ImageFont.truetype("Arial Unicode.ttf", text_size)
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except IOError:
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# Fallback to default font
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font = ImageFont.load_default()
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# Parse position (top, center, bottom)
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if text_position == "top":
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position = (width // 2, text_size + 10)
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elif text_position == "bottom":
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position = (width // 2, height - text_size - 10)
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else: # center
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position = (width // 2, height // 2)
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# Add text with outline for better visibility
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# Draw text outline (shadow)
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for offset in [(1, 1), (-1, -1), (1, -1), (-1, 1)]:
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draw.text(
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(position[0] + offset[0], position[1] + offset[1]),
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input_text,
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fill="black",
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font=font,
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anchor="mm" # Center align the text
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)
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# Draw the main text
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draw.text(
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position,
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input_text,
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fill=text_color,
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font=font,
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anchor="mm" # Center align the text
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)
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clear_cache(pipe.transformer)
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return image
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# Load example images
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def load_examples():
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examples = []
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return examples
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# Load examples for text rendering tab
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def load_text_examples():
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examples = []
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test_img_dir = "./test_imgs"
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example_data = [
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{
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"prompt": "cute character with speech bubble",
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"text": "Hello World!",
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"color": "#ffffff",
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"size": 36,
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"position": "center",
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"filename": "00.jpg",
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"height": 680,
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"width": 1024,
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"seed": 123
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},
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{
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"prompt": "landscape with message",
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"text": "안녕하세요!",
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"color": "#ffff00",
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"size": 48,
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"position": "top",
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"filename": "03.jpg",
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"height": 1024,
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"width": 768,
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"seed": 456
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},
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{
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"prompt": "character with subtitles",
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"text": "こんにちは世界!",
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"color": "#00ffff",
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"size": 42,
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"position": "bottom",
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"filename": "02.jpg",
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"height": 560,
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"width": 1024,
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"seed": 789
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}
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]
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for example in example_data:
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img_path = os.path.join(test_img_dir, example["filename"])
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if os.path.exists(img_path):
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examples.append([
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example["prompt"],
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example["text"],
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example["color"],
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example["size"],
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example["position"],
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Image.open(img_path),
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example["height"],
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example["width"],
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example["seed"]
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])
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return examples
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# CSS for improved UI
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css = """
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:root {
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.gr-accent-3 {
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background-color: #f9c06b;
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}
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.text-rendering-options {
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background-color: #f0f8ff;
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padding: 16px;
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border-radius: var(--border-radius);
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margin-top: 16px;
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}
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"""
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# Create the Gradio Blocks interface
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</div>
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""")
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with gr.Tabs():
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with gr.Tab("Create Ghibli Art"):
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with gr.Row():
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with gr.Column(scale=1):
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gr.HTML("""
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<div class="gr-box">
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<h3>🎨 Your Creative Input</h3>
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<p>Describe what you want to see in your Ghibli-inspired image</p>
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</div>
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""")
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user_prompt = gr.Textbox(
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label="Your description",
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placeholder="Describe what you want to see (e.g., a cat sitting by the window)",
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lines=2
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)
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spatial_img = gr.Image(
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label="Reference Image (Optional)",
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type="pil",
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elem_classes="gr-image-upload"
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)
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with gr.Group():
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with gr.Row():
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height = gr.Slider(minimum=256, maximum=1024, step=64, label="Height", value=768)
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width = gr.Slider(minimum=256, maximum=1024, step=64, label="Width", value=768)
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seed = gr.Slider(minimum=1, maximum=9999, step=1, label="Seed", value=42,
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info="Change for different variations")
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generate_btn = gr.Button("✨ Generate Ghibli Art", elem_classes="gr-button")
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with gr.Column(scale=1):
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gr.HTML("""
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<div class="gr-box">
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<h3>✨ Your Magical Creation</h3>
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<p>Your Ghibli-inspired artwork will appear here</p>
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</div>
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""")
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output_image = gr.Image(label="Generated Image", elem_classes="gr-output-image")
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gr.HTML("""
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<div class="gr-box gr-examples-gallery">
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<h3>✨ Inspiration Gallery</h3>
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<p>Click on any example to try it out</p>
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</div>
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""")
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# Add examples
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examples = load_examples()
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gr.Examples(
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examples=examples,
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inputs=[user_prompt, spatial_img, height, width, seed],
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outputs=output_image,
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fn=single_condition_generate_image,
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cache_examples=False,
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examples_per_page=4
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)
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# Link the button to the function
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generate_btn.click(
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single_condition_generate_image,
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inputs=[user_prompt, spatial_img, height, width, seed],
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outputs=output_image
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)
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# Second tab for Image & Multilingual Text Rendering
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with gr.Tab("Image & Multilingual Text Rendering"):
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with gr.Row():
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with gr.Column(scale=1):
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gr.HTML("""
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<div class="gr-box">
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<h3>🌈 Art with Text</h3>
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<p>Create Ghibli-style images with beautiful text in any language</p>
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</div>
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""")
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text_user_prompt = gr.Textbox(
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label="Image Description",
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placeholder="Describe what you want to see (e.g., a character with speech bubble)",
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lines=2
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)
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with gr.Group(elem_classes="text-rendering-options"):
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input_text = gr.Textbox(
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label="Overlay Text",
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placeholder="Enter text in any language",
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lines=1
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)
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with gr.Row():
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text_color = gr.ColorPicker(
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label="Text Color",
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value="#FFFFFF"
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)
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text_size = gr.Slider(
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minimum=12,
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maximum=72,
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step=2,
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label="Text Size",
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value=36
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)
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text_position = gr.Radio(
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["top", "center", "bottom"],
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label="Text Position",
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value="center"
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)
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499 |
+
text_spatial_img = gr.Image(
|
500 |
+
label="Reference Image (Optional)",
|
501 |
+
type="pil",
|
502 |
+
elem_classes="gr-image-upload"
|
503 |
+
)
|
504 |
+
|
505 |
+
with gr.Group():
|
506 |
+
with gr.Row():
|
507 |
+
text_height = gr.Slider(minimum=256, maximum=1024, step=64, label="Height", value=768)
|
508 |
+
text_width = gr.Slider(minimum=256, maximum=1024, step=64, label="Width", value=768)
|
509 |
+
|
510 |
+
text_seed = gr.Slider(minimum=1, maximum=9999, step=1, label="Seed", value=42,
|
511 |
+
info="Change for different variations")
|
512 |
+
|
513 |
+
text_generate_btn = gr.Button("✨ Generate Art with Text", elem_classes="gr-button")
|
514 |
+
|
515 |
+
with gr.Column(scale=1):
|
516 |
+
gr.HTML("""
|
517 |
+
<div class="gr-box">
|
518 |
+
<h3>✨ Your Text Creation</h3>
|
519 |
+
<p>Your Ghibli-inspired artwork with text will appear here</p>
|
520 |
+
</div>
|
521 |
+
""")
|
522 |
+
text_output_image = gr.Image(label="Generated Image with Text", elem_classes="gr-output-image")
|
523 |
+
|
524 |
+
gr.HTML("""
|
525 |
+
<div class="gr-box gr-examples-gallery">
|
526 |
+
<h3>✨ Text Rendering Examples</h3>
|
527 |
+
<p>Click on any example to try it out</p>
|
528 |
+
</div>
|
529 |
+
""")
|
530 |
+
|
531 |
+
# Add text rendering examples
|
532 |
+
text_examples = load_text_examples()
|
533 |
+
gr.Examples(
|
534 |
+
examples=text_examples,
|
535 |
+
inputs=[text_user_prompt, input_text, text_color, text_size, text_position,
|
536 |
+
text_spatial_img, text_height, text_width, text_seed],
|
537 |
+
outputs=text_output_image,
|
538 |
+
fn=text_rendering_generate_image,
|
539 |
+
cache_examples=False,
|
540 |
+
examples_per_page=3
|
541 |
+
)
|
542 |
+
|
543 |
+
# Link the text render button to the function
|
544 |
+
text_generate_btn.click(
|
545 |
+
text_rendering_generate_image,
|
546 |
+
inputs=[text_user_prompt, input_text, text_color, text_size, text_position,
|
547 |
+
text_spatial_img, text_height, text_width, text_seed],
|
548 |
+
outputs=text_output_image
|
549 |
+
)
|
550 |
|
551 |
gr.HTML("""
|
552 |
<div class="gr-footer">
|
|
|
554 |
</div>
|
555 |
""")
|
556 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
557 |
# Launch the Gradio app
|
558 |
demo.queue().launch()
|