Spaces:
Running
Running
Vineet Agarwal
commited on
Commit
Β·
7dafaa0
1
Parent(s):
232d93f
Add application file
Browse files- app.py +224 -0
- requirements.txt +3 -0
app.py
ADDED
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| 1 |
+
import gradio as gr
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| 2 |
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import requests
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| 3 |
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from PIL import Image
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| 4 |
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import io
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BASE_URL = "https://api.jigsawstack.com/v1"
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headers = {"x-api-key": ""}
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| 9 |
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# ----------------- JigsawStack API Wrappers ------------------
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| 10 |
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| 11 |
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def generate_image(prompt, aspect_ratio, width, height, steps, negative_prompt, guidance, seed):
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| 12 |
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# Validate required inputs
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if not prompt or not prompt.strip():
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return None, {"error": "Prompt is required"}
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if len(prompt.strip()) > 5000:
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return None, {"error": "Prompt must be between 1-5000 characters"}
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# Build payload with required and optional parameters
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payload = {
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"prompt": prompt.strip()
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}
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# Add optional parameters if provided
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if aspect_ratio and aspect_ratio.strip():
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payload["aspect_ratio"] = aspect_ratio.strip()
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if width:
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try:
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width_int = int(width)
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if 256 <= width_int <= 1920:
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payload["width"] = width_int
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else:
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return None, {"error": "Width must be between 256-1920 pixels"}
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except ValueError:
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return None, {"error": "Width must be a valid number"}
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if height:
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try:
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height_int = int(height)
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if 256 <= height_int <= 1920:
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payload["height"] = height_int
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else:
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return None, {"error": "Height must be between 256-1920 pixels"}
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except ValueError:
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return None, {"error": "Height must be a valid number"}
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if steps:
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try:
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steps_int = int(steps)
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if 1 <= steps_int <= 90:
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payload["steps"] = steps_int
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else:
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return None, {"error": "Steps must be between 1-90"}
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except ValueError:
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return None, {"error": "Steps must be a valid number"}
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if negative_prompt and negative_prompt.strip():
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payload["negative_prompt"] = negative_prompt.strip()
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if guidance:
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try:
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guidance_float = float(guidance)
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if 1 <= guidance_float <= 28:
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payload["guidance"] = guidance_float
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else:
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return None, {"error": "Guidance must be between 1-28"}
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except ValueError:
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return None, {"error": "Guidance must be a valid number"}
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if seed:
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try:
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seed_int = int(seed)
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payload["seed"] = seed_int
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except ValueError:
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return None, {"error": "Seed must be a valid number"}
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try:
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r = requests.post(f"{BASE_URL}/ai/image_generation", headers=headers, json=payload)
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r.raise_for_status()
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# The API returns the image directly as binary data
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if r.headers.get('content-type', '').startswith('image/'):
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# Convert bytes to PIL Image for Gradio
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# Create PIL Image from bytes
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image = Image.open(io.BytesIO(r.content))
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return image, {"success": True, "message": "Image generated successfully!"}
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else:
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# If not an image, try to parse as JSON for error
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try:
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error_data = r.json()
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return None, {"error": "Image generation failed", "details": error_data}
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except:
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return None, {"error": "Unexpected response format"}
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except requests.exceptions.RequestException as req_err:
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return None, {"error": "Request failed", "message": str(req_err)}
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except Exception as e:
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return None, {"error": "Unexpected error", "message": str(e)}
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# ----------------- Gradio UI ------------------
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with gr.Blocks() as demo:
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gr.Markdown("""
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| 107 |
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<div style='text-align: center; margin-bottom: 24px;'>
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<h1 style='font-size:2.2em; margin-bottom: 0.2em;'>π§© JigsawStack Image Generation Demo</h1>
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<p style='font-size:1.2em; margin-top: 0;'>Generate high-quality images from text prompts using advanced AI models.</p>
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<p style='font-size:1em; margin-top: 0.5em;'>For more details and API usage, see the <a href='https://jigsawstack.com/docs/api-reference/ai/image-generation' target='_blank'>documentation</a>.</p>
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</div>
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""")
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with gr.Row():
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with gr.Column():
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gr.Markdown("#### Input")
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prompt = gr.Textbox(
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| 118 |
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label="Text Prompt",
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| 119 |
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lines=4,
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placeholder="Enter text to describe the image"
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)
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gr.Markdown("#### Quick Examples")
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gr.Markdown("Click any example below to auto-fill the prompt:")
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| 126 |
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with gr.Row():
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img_example_btn1 = gr.Button("ποΈ Mountain Landscape", size="sm")
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| 128 |
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img_example_btn2 = gr.Button("π± Cute Cat Portrait", size="sm")
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img_example_btn3 = gr.Button("ποΈ Cyberpunk City", size="sm")
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with gr.Row():
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img_example_btn4 = gr.Button("π Ocean Sunset", size="sm")
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img_example_btn5 = gr.Button("π Space Station", size="sm")
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img_example_btn6 = gr.Button("π° Medieval Castle", size="sm")
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with gr.Row():
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img_example_btn7 = gr.Button("π¨ Abstract Art", size="sm")
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img_example_btn8 = gr.Button("π Delicious Pizza", size="sm")
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gr.Markdown("#### Image Options")
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aspect_ratio = gr.Textbox(
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label="Aspect Ratio (optional, e.g., 16:9, 4:3)",
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placeholder="16:9, 4:3, etc.",
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info="Common ratios: 16:9, 4:3, 1:1"
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)
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width = gr.Textbox(
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label="Width (optional, pixels)",
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placeholder="1024",
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info="Minimum: 256, Maximum: 1920"
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)
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height = gr.Textbox(
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| 152 |
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label="Height (optional, pixels)",
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| 153 |
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placeholder="768",
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| 154 |
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info="Minimum: 256, Maximum: 1920"
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)
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| 156 |
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steps = gr.Textbox(
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| 157 |
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label="Steps (optional, 1-90)",
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| 158 |
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placeholder="50",
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| 159 |
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info="Minimum: 1, Maximum: 90"
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| 160 |
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)
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| 161 |
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negative_prompt = gr.Textbox(
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| 162 |
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label="Negative Prompt (optional)",
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| 163 |
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placeholder="A bad image",
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| 164 |
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info="Optional: describe what you don't want in the image"
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| 165 |
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)
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| 166 |
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guidance = gr.Textbox(
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| 167 |
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label="Guidance (optional, 1-28)",
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| 168 |
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placeholder="7.5",
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| 169 |
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info="Minimum: 1, Maximum: 28"
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| 170 |
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)
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| 171 |
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seed = gr.Textbox(
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| 172 |
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label="Seed (optional)",
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| 173 |
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placeholder="Random",
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| 174 |
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info="Optional: randomize image generation"
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| 175 |
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)
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| 176 |
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| 177 |
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with gr.Column():
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| 178 |
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gr.Markdown("#### Preview")
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| 179 |
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image_preview = gr.Image(label="Generated Image")
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| 180 |
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generate_image_btn = gr.Button("Generate Image", variant="primary")
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| 181 |
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generate_image_result = gr.JSON(label="Image Generation Result")
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| 182 |
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| 183 |
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# Example functions to auto-fill prompt field
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| 184 |
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def fill_img_example_1():
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return "A majestic mountain landscape with snow-capped peaks, crystal clear lake in the foreground, golden hour lighting, photorealistic, 8K resolution"
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| 186 |
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| 187 |
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def fill_img_example_2():
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return "A cute fluffy cat sitting on a windowsill, looking directly at camera with big green eyes, soft natural lighting, high quality, detailed fur"
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| 189 |
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def fill_img_example_3():
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return "A futuristic cyberpunk cityscape at night, neon lights, flying cars, tall skyscrapers, rain-slicked streets, cinematic lighting"
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| 193 |
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def fill_img_example_4():
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return "A breathtaking ocean sunset over calm waters, orange and pink sky, silhouettes of palm trees, peaceful atmosphere, high resolution"
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def fill_img_example_5():
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return "A massive space station orbiting Earth, detailed engineering, solar panels, astronauts in space suits, stars and nebula background"
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def fill_img_example_6():
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return "An ancient medieval castle on a hilltop, stone walls and towers, flags waving, dramatic clouds, fantasy atmosphere, detailed architecture"
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def fill_img_example_7():
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return "Abstract digital art with flowing colors, geometric shapes, vibrant gradients, modern aesthetic, artistic composition"
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def fill_img_example_8():
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return "A delicious pizza with melted cheese, pepperoni, fresh basil, wood-fired oven, appetizing, high quality food photography"
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# Connect example buttons to auto-fill functions
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img_example_btn1.click(fill_img_example_1, outputs=[prompt])
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img_example_btn2.click(fill_img_example_2, outputs=[prompt])
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img_example_btn3.click(fill_img_example_3, outputs=[prompt])
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img_example_btn4.click(fill_img_example_4, outputs=[prompt])
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img_example_btn5.click(fill_img_example_5, outputs=[prompt])
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img_example_btn6.click(fill_img_example_6, outputs=[prompt])
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img_example_btn7.click(fill_img_example_7, outputs=[prompt])
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img_example_btn8.click(fill_img_example_8, outputs=[prompt])
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generate_image_btn.click(
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generate_image,
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inputs=[prompt, aspect_ratio, width, height, steps, negative_prompt, guidance, seed],
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outputs=[image_preview, generate_image_result]
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)
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demo.launch()
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requirements.txt
ADDED
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@@ -0,0 +1,3 @@
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gradio
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requests
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Pillow
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