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Browse files- app.py +156 -329
- requirements.txt +1 -1
app.py
CHANGED
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@@ -80,28 +80,17 @@ def call_pixazo_api(prompt, num_steps=4, seed=None, height=512, width=512,
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if image.mode in ('RGBA', 'LA', 'P'):
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image = image.convert('RGB')
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simplified_result = {
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"success": True,
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"status_code": 200,
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"image_url": image_url,
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"image_size": f"{image.size[0]}x{image.size[1]}",
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"image_mode": image.mode,
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"timestamp": datetime.now().isoformat()
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}
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# Add original response keys (excluding potentially large data)
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for key, value in result.items():
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if key != "output" and not isinstance(value, (str, int, float, bool, type(None))) or len(str(value)) > 1000:
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simplified_result[f"original_{key}"] = type(value).__name__
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else:
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simplified_result[f"original_{key}"] = value
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return image, simplified_result
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else:
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return None, {
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"error": f"Failed to download image: HTTP {img_response.status_code}",
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"image_url": image_url,
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"download_status": img_response.status_code,
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"timestamp": datetime.now().isoformat()
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}
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@@ -109,7 +98,7 @@ def call_pixazo_api(prompt, num_steps=4, seed=None, height=512, width=512,
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except Exception as e:
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return None, {
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"error": f"Error downloading image: {str(e)}",
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"image_url": image_url,
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"timestamp": datetime.now().isoformat()
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}
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else:
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@@ -148,14 +137,14 @@ def call_pixazo_api(prompt, num_steps=4, seed=None, height=512, width=512,
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"timestamp": datetime.now().isoformat()
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}
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# Generate images
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def generate_images(prompt, num_steps, seed, height, width, style_preset,
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num_images, guidance_scale
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images = []
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all_results = []
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for i in
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try:
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current_seed = seed + i if seed > 0 else 0
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@@ -171,12 +160,16 @@ def generate_images(prompt, num_steps, seed, height, width, style_preset,
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if image:
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images.append(image)
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progress((i + 1, num_images), desc=f"✅ Image {i+1}/{num_images} generated")
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else:
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progress((i + 1, num_images), desc=f"❌ Image {i+1}/{num_images} failed")
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all_results.append(result)
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# Small delay between requests
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if i < num_images - 1:
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time.sleep(1)
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except Exception as e:
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error_result = {"error": str(e), "image_index": i, "timestamp": datetime.now().isoformat()}
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all_results.append(error_result)
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break
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# Prepare final output
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if success_count == 0:
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status = f"❌ No images generated ({success_count}/{num_images} successful)"
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elif success_count < num_images:
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status = f"⚠️ Partial success: {success_count}/{num_images} images"
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else:
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status = f"🎉 Success! All {success_count} images generated"
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summary = {
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"total_attempts": num_images,
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}
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}
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status,
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summary)
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# Create
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"""
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) as demo:
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# Header
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gr.Markdown("""
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""")
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"""
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gr.HTML(status_html)
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with gr.Row():
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with gr.Column(scale=1, min_width=400):
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# Input Section
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with gr.Group():
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prompt = gr.Textbox(
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label="🎨 Prompt",
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placeholder="Describe the image you want to generate...",
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lines=3,
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max_lines=5,
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show_label=True,
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info="Be descriptive for better results"
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)
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with gr.Row():
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with gr.Column():
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style_preset = gr.Dropdown(
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label="🎭 Style",
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choices=[
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"none", "cyberpunk", "fantasy", "anime", "photographic",
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"digital-art", "comic", "3d-model", "pixel-art", "isometric",
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"minimalist", "watercolor", "oil-painting", "sketch"
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],
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value="none",
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info="Optional style preset"
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)
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with gr.Column():
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guidance_scale = gr.Slider(
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label="🎯 Guidance Scale",
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minimum=1.0,
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maximum=20.0,
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value=7.5,
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step=0.5,
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info="Higher = more prompt adherence"
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)
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with gr.Row():
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with gr.Column():
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num_steps = gr.Slider(
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label="⚡ Steps",
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minimum=1,
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maximum=50,
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value=4,
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step=1,
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info="Quality vs speed trade-off"
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)
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with gr.Column():
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seed = gr.Number(
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label="🌱 Seed",
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value=42,
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info="0 = random, same seed = same result"
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)
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with gr.Row():
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with gr.Column():
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width = gr.Slider(
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label="📏 Width",
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minimum=256,
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maximum=1024,
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value=512,
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step=64
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)
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with gr.Column():
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height = gr.Slider(
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label="📐 Height",
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minimum=256,
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maximum=1024,
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value=512,
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step=64
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)
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label="
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minimum=1,
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maximum=
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value=
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step=1
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info="Generate multiple variations"
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)
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examples = [
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["A majestic dragon overlooking a fantasy kingdom at sunset, cinematic lighting", "fantasy"],
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["Cyberpunk city street with neon signs and flying cars, rainy night", "cyberpunk"],
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["Cute anime girl with magical powers in a cherry blossom garden", "anime"],
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["Photorealistic portrait of an astronaut on Mars with detailed reflection in visor", "photographic"],
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["Isometric view of a cozy cottage in a magical forest", "isometric"],
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["Watercolor painting of a serene mountain lake at dawn", "watercolor"]
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]
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for example_prompt, example_style in examples:
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with gr.Row():
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gr.Textbox(value=example_prompt, show_label=False, interactive=False)
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gr.Button("📋 Use", size="sm").click(
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fn=lambda p=example_prompt, s=example_style: [p, s],
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outputs=[prompt, style_preset]
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)
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with gr.
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)
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label="
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preview=True,
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visible=False
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)
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# Response and Info
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with gr.Tabs():
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with gr.TabItem("📊 Generation Summary"):
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summary_json = gr.JSON(
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label="Summary",
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container=True
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)
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with gr.TabItem("🔧 Parameters"):
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param_display = gr.JSON(
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label="Current Parameters",
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value={},
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container=True
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)
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with gr.TabItem("ℹ️ About"):
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gr.Markdown("""
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### About This App
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This app uses the **Pixazo FLUX-1 Schnell** AI image generation model.
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**API Response Format:**
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```json
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{
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"output": "https://image-url-here.png"
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}
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```
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**How it works:**
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1. Your prompt and settings are sent to Pixazo API
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2. API returns a JSON with an image URL
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3. App downloads and displays the image
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**Tips:**
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- Be descriptive in your prompts
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- Try different styles for varied results
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- Use seeds for reproducible results
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- Start with 4 steps for quick testing
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""")
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# Event handlers
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def update_param_display(prompt, num_steps, seed, height, width, style_preset, num_images, guidance_scale):
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return {
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"prompt": prompt[:100] + "..." if len(prompt) > 100 else prompt,
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"prompt_length": len(prompt),
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"steps": num_steps,
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"seed": seed if seed > 0 else "random",
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"resolution": f"{width}×{height}",
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"style": style_preset,
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"num_images": num_images,
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"guidance_scale": guidance_scale,
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"timestamp": datetime.now().strftime("%H:%M:%S")
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}
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# Update parameters on input change
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inputs = [prompt, num_steps, seed, height, width, style_preset, num_images, guidance_scale]
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for inp in inputs:
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inp.change(
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update_param_display,
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inputs=inputs,
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outputs=param_display
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)
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# Initialize param display
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demo.load(
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fn=lambda: update_param_display(*[i.value for i in inputs]),
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outputs=param_display
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)
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# Generate button click
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def on_generate(prompt, num_steps, seed, height, width, style_preset, num_images, guidance_scale):
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if not prompt.strip():
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return (
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gr.update(visible=False),
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"<div class='error'><h3>❌ Error</h3><p>Please enter a prompt</p></div>",
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{"error": "No prompt provided"}
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)
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if "❌" in status:
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status_html = f"<div class='error'><h3>{status}</h3></div>"
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elif "⚠️" in status:
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status_html = f"<div class='warning'><h3>{status}</h3></div>"
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else:
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status_html = f"<div class='success'><h3>{status}</h3></div>"
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gr.update(visible=False),
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"<div class='info-box'><h3>Status: Ready</h3><p>Enter a prompt and click Generate</p></div>",
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{"status": "cleared"}
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],
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outputs=[gallery, status_display, summary_json]
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api_key = get_api_key()
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return {
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"api_key_present": bool(api_key),
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"api_key_length": len(api_key) if api_key else 0,
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"timestamp": datetime.now().isoformat(),
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"gradio_version": gr.__version__
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}
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# Main function
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def main():
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print("=" * 60)
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print(f"🚀 Pixazo Image Generator")
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print(f"📦 Gradio Version: {gr.__version__}")
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print(f"🔑 API Key: {'✅ Present' if get_api_key() else '❌ Missing'}")
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print("=" * 60)
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debug=False
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if __name__ == "__main__":
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if image.mode in ('RGBA', 'LA', 'P'):
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image = image.convert('RGB')
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return image, {
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"success": True,
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"status_code": 200,
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"image_url": image_url[:100] + "..." if len(image_url) > 100 else image_url,
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"image_size": f"{image.size[0]}x{image.size[1]}",
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"timestamp": datetime.now().isoformat()
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}
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else:
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return None, {
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"error": f"Failed to download image: HTTP {img_response.status_code}",
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"image_url": image_url[:100] + "..." if len(image_url) > 100 else image_url,
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"download_status": img_response.status_code,
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"timestamp": datetime.now().isoformat()
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| 96 |
}
|
|
|
|
| 98 |
except Exception as e:
|
| 99 |
return None, {
|
| 100 |
"error": f"Error downloading image: {str(e)}",
|
| 101 |
+
"image_url": image_url[:100] + "..." if len(image_url) > 100 else image_url,
|
| 102 |
"timestamp": datetime.now().isoformat()
|
| 103 |
}
|
| 104 |
else:
|
|
|
|
| 137 |
"timestamp": datetime.now().isoformat()
|
| 138 |
}
|
| 139 |
|
| 140 |
+
# Generate images
|
| 141 |
def generate_images(prompt, num_steps, seed, height, width, style_preset,
|
| 142 |
+
num_images, guidance_scale):
|
| 143 |
|
| 144 |
images = []
|
| 145 |
all_results = []
|
| 146 |
|
| 147 |
+
for i in range(num_images):
|
| 148 |
try:
|
| 149 |
current_seed = seed + i if seed > 0 else 0
|
| 150 |
|
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|
| 160 |
|
| 161 |
if image:
|
| 162 |
images.append(image)
|
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|
| 163 |
|
| 164 |
all_results.append(result)
|
| 165 |
|
| 166 |
+
# Update status
|
| 167 |
+
yield [
|
| 168 |
+
images if images else None,
|
| 169 |
+
f"Progress: {i+1}/{num_images} images",
|
| 170 |
+
json.dumps(result, indent=2)
|
| 171 |
+
]
|
| 172 |
+
|
| 173 |
# Small delay between requests
|
| 174 |
if i < num_images - 1:
|
| 175 |
time.sleep(1)
|
|
|
|
| 177 |
except Exception as e:
|
| 178 |
error_result = {"error": str(e), "image_index": i, "timestamp": datetime.now().isoformat()}
|
| 179 |
all_results.append(error_result)
|
| 180 |
+
yield [
|
| 181 |
+
images if images else None,
|
| 182 |
+
f"Error on image {i+1}: {str(e)[:50]}",
|
| 183 |
+
json.dumps(error_result, indent=2)
|
| 184 |
+
]
|
| 185 |
break
|
| 186 |
|
| 187 |
# Prepare final output
|
|
|
|
| 189 |
|
| 190 |
if success_count == 0:
|
| 191 |
status = f"❌ No images generated ({success_count}/{num_images} successful)"
|
| 192 |
+
final_images = None
|
| 193 |
elif success_count < num_images:
|
| 194 |
status = f"⚠️ Partial success: {success_count}/{num_images} images"
|
| 195 |
+
final_images = images
|
| 196 |
else:
|
| 197 |
status = f"🎉 Success! All {success_count} images generated"
|
| 198 |
+
final_images = images
|
| 199 |
|
| 200 |
summary = {
|
| 201 |
"total_attempts": num_images,
|
|
|
|
| 211 |
}
|
| 212 |
}
|
| 213 |
|
| 214 |
+
yield [final_images, status, json.dumps(summary, indent=2)]
|
|
|
|
|
|
|
| 215 |
|
| 216 |
+
# Create Gradio interface
|
| 217 |
+
with gr.Blocks(
|
| 218 |
+
title="Pixazo Image Generator",
|
| 219 |
+
theme=gr.themes.Soft()
|
| 220 |
+
) as demo:
|
| 221 |
+
|
| 222 |
+
# Header
|
| 223 |
+
gr.Markdown("""
|
| 224 |
+
# 🎨 Pixazo Image Generator
|
| 225 |
+
|
| 226 |
+
Generate images using Pixazo's FLUX-1 Schnell AI model
|
| 227 |
+
""")
|
| 228 |
+
|
| 229 |
+
# API Status
|
| 230 |
+
api_key = get_api_key()
|
| 231 |
+
if api_key:
|
| 232 |
+
gr.Markdown("### ✅ API Key: Configured")
|
| 233 |
+
else:
|
|
|
|
|
|
|
|
|
|
|
|
|
| 234 |
gr.Markdown("""
|
| 235 |
+
### ❌ API Key: Not Configured
|
| 236 |
|
| 237 |
+
**To set up:**
|
| 238 |
+
1. Go to Space Settings → Repository secrets
|
| 239 |
+
2. Add: `PIXAZO_API_KEY` = your API key
|
| 240 |
+
3. Click "Restart this Space"
|
| 241 |
""")
|
| 242 |
+
|
| 243 |
+
with gr.Row():
|
| 244 |
+
with gr.Column(scale=1):
|
| 245 |
+
# Input Section
|
| 246 |
+
with gr.Group():
|
| 247 |
+
prompt = gr.Textbox(
|
| 248 |
+
label="Prompt",
|
| 249 |
+
placeholder="Describe the image you want to generate...",
|
| 250 |
+
lines=3,
|
| 251 |
+
value="A beautiful sunset over mountains"
|
| 252 |
+
)
|
| 253 |
+
|
| 254 |
+
with gr.Row():
|
| 255 |
+
style_preset = gr.Dropdown(
|
| 256 |
+
label="Style Preset",
|
| 257 |
+
choices=[
|
| 258 |
+
"none", "cyberpunk", "fantasy", "anime", "photographic",
|
| 259 |
+
"digital-art", "comic", "3d-model", "pixel-art"
|
| 260 |
+
],
|
| 261 |
+
value="none"
|
| 262 |
+
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 263 |
|
| 264 |
+
guidance_scale = gr.Slider(
|
| 265 |
+
label="Guidance Scale",
|
| 266 |
+
minimum=1.0,
|
| 267 |
+
maximum=20.0,
|
| 268 |
+
value=7.5,
|
| 269 |
+
step=0.5
|
| 270 |
+
)
|
| 271 |
+
|
| 272 |
+
with gr.Row():
|
| 273 |
+
num_steps = gr.Slider(
|
| 274 |
+
label="Number of Steps",
|
| 275 |
minimum=1,
|
| 276 |
+
maximum=50,
|
| 277 |
+
value=4,
|
| 278 |
+
step=1
|
|
|
|
| 279 |
)
|
| 280 |
|
| 281 |
+
seed = gr.Number(
|
| 282 |
+
label="Seed",
|
| 283 |
+
value=42,
|
| 284 |
+
minimum=0,
|
| 285 |
+
maximum=999999
|
| 286 |
+
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 287 |
|
| 288 |
+
with gr.Row():
|
| 289 |
+
width = gr.Slider(
|
| 290 |
+
label="Width",
|
| 291 |
+
minimum=256,
|
| 292 |
+
maximum=1024,
|
| 293 |
+
value=512,
|
| 294 |
+
step=64
|
| 295 |
)
|
| 296 |
|
| 297 |
+
height = gr.Slider(
|
| 298 |
+
label="Height",
|
| 299 |
+
minimum=256,
|
| 300 |
+
maximum=1024,
|
| 301 |
+
value=512,
|
| 302 |
+
step=64
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 303 |
)
|
| 304 |
|
| 305 |
+
num_images = gr.Slider(
|
| 306 |
+
label="Number of Images",
|
| 307 |
+
minimum=1,
|
| 308 |
+
maximum=4,
|
| 309 |
+
value=1,
|
| 310 |
+
step=1
|
| 311 |
)
|
| 312 |
|
| 313 |
+
generate_btn = gr.Button("Generate Images", variant="primary")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 314 |
|
| 315 |
+
# Examples
|
| 316 |
+
gr.Examples(
|
| 317 |
+
examples=[
|
| 318 |
+
["A cyberpunk cityscape with flying cars and neon lights at night", 4, 123, 512, 512, "cyberpunk", 1, 7.5],
|
| 319 |
+
["A magical dragon in a fantasy landscape, cinematic lighting", 4, 456, 512, 512, "fantasy", 1, 7.5],
|
| 320 |
+
["Cute anime character with magical powers", 4, 789, 512, 512, "anime", 1, 7.5],
|
| 321 |
+
["Photorealistic portrait of an astronaut", 6, 999, 768, 512, "photographic", 1, 8.0]
|
| 322 |
+
],
|
| 323 |
+
inputs=[prompt, num_steps, seed, height, width, style_preset, num_images, guidance_scale],
|
| 324 |
+
label="Try these examples:"
|
| 325 |
+
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 326 |
|
| 327 |
+
with gr.Column(scale=2):
|
| 328 |
+
# Output Section
|
| 329 |
+
status = gr.Textbox(
|
| 330 |
+
label="Status",
|
| 331 |
+
value="Ready to generate..."
|
| 332 |
+
)
|
| 333 |
+
|
| 334 |
+
gallery = gr.Gallery(
|
| 335 |
+
label="Generated Images",
|
| 336 |
+
columns=2,
|
| 337 |
+
height="auto"
|
| 338 |
+
)
|
| 339 |
+
|
| 340 |
+
# Response viewer
|
| 341 |
+
with gr.Accordion("API Response", open=False):
|
| 342 |
+
json_output = gr.JSON(
|
| 343 |
+
label="Response"
|
| 344 |
+
)
|
| 345 |
|
| 346 |
+
# Footer
|
| 347 |
+
gr.Markdown("""
|
| 348 |
+
---
|
| 349 |
+
**Note:** The Pixazo API returns `{"output": "IMAGE_URL"}`, and the app downloads the image from that URL.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 350 |
|
| 351 |
+
Make sure to set `PIXAZO_API_KEY` in your Space secrets for the app to work.
|
| 352 |
+
""")
|
| 353 |
|
| 354 |
+
# Connect button to function
|
| 355 |
+
generate_btn.click(
|
| 356 |
+
fn=generate_images,
|
| 357 |
+
inputs=[prompt, num_steps, seed, height, width, style_preset, num_images, guidance_scale],
|
| 358 |
+
outputs=[gallery, status, json_output]
|
|
|
|
| 359 |
)
|
| 360 |
|
| 361 |
+
# Launch the app
|
| 362 |
if __name__ == "__main__":
|
| 363 |
+
print("Starting Pixazo Image Generator...")
|
| 364 |
+
print(f"API Key configured: {'Yes' if get_api_key() else 'No'}")
|
| 365 |
+
|
| 366 |
+
demo.launch(
|
| 367 |
+
server_name="0.0.0.0",
|
| 368 |
+
server_port=7860,
|
| 369 |
+
share=False
|
| 370 |
+
)
|
requirements.txt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
-
gradio>=4.
|
| 2 |
pillow>=10.0.0
|
| 3 |
requests>=2.31.0
|
|
|
|
| 1 |
+
gradio>=3.41.0,<4.0.0
|
| 2 |
pillow>=10.0.0
|
| 3 |
requests>=2.31.0
|