Fix handler to return PIL.Image.Image directly
Browse filesUpdated handler to fix the issue with returning PIL.Image.Image objects directly instead of dictionaries.
- handler.py +36 -112
handler.py
CHANGED
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@@ -1,37 +1,12 @@
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import os
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import sys
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import json
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import base64
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from io import BytesIO
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import torch
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import numpy as np
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from PIL import Image
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import random
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import
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import
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import
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import shutil
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import time
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# Add DiffSketcher repository to the path
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DIFFSKETCHER_PATH = "/workspace/repos/DiffSketcher"
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if DIFFSKETCHER_PATH not in sys.path:
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sys.path.append(DIFFSKETCHER_PATH)
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# Import DiffSketcher modules
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try:
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# These imports are commented out to avoid errors
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# We're using a placeholder implementation anyway
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# from models.clip_model import ClipModel
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# from models.sd_model import StableDiffusion
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# from models.loss import Loss
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# from models.render import Render
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# from models.svg import SVG
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# from utils.train_utils import init_log, get_latest_ckpt, save_cfg
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# from utils.vector_utils import svg_to_png
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pass
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except ImportError:
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print("Failed to import DiffSketcher modules. Using placeholder implementation.")
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class EndpointHandler:
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def __init__(self, path=""):
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@@ -43,24 +18,33 @@ class EndpointHandler:
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"""
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self.path = path
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self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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self.
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self.use_placeholder = True
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try:
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#
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except Exception as e:
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print(f"
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def init_diffsketcher(self):
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"""Initialize the DiffSketcher model components."""
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# This is a simplified initialization
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# In a real implementation, we would load the model weights and initialize all components
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pass
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def generate_svg(self, prompt, negative_prompt="", num_paths=96, guidance_scale=7.5, seed=None):
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"""
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@@ -76,8 +60,11 @@ class EndpointHandler:
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Returns:
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tuple: (svg_string, png_image)
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"""
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#
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-
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# Create a simple SVG with some paths
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svg_string = f"""<svg viewBox="0 0 512 512" xmlns="http://www.w3.org/2000/svg">
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@@ -87,7 +74,6 @@ class EndpointHandler:
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"""
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# Add some random paths
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random.seed(seed)
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for i in range(min(num_paths, 20)): # Limit to 20 paths for the placeholder
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x = random.randint(50, 462)
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y = random.randint(50, 462)
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@@ -98,10 +84,10 @@ class EndpointHandler:
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if random.random() < 0.5:
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# Circle
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svg_string += f'<circle cx="{x}" cy="{y}" r="{size/2}" fill="rgb({r},{g},{b})"
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else:
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# Rectangle
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svg_string += f'<rect x="{x}" y="{y}" width="{size}" height="{size}" fill="rgb({r},{g},{b})"
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# Add some lines
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for i in range(min(num_paths // 2, 10)): # Limit to 10 lines for the placeholder
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@@ -114,7 +100,7 @@ class EndpointHandler:
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b = random.randint(0, 255)
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width = random.randint(1, 5)
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svg_string += f'<line x1="{x1}" y1="{y1}" x2="{x2}" y2="{y2}" stroke="rgb({r},{g},{b})" stroke-width="{width}"
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svg_string += "</svg>"
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@@ -123,60 +109,6 @@ class EndpointHandler:
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return svg_string, png_image
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def svg_to_png(self, svg_string, width=512, height=512):
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"""
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Convert SVG string to PNG image.
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Args:
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svg_string (str): SVG string
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width (int): Image width
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height (int): Image height
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Returns:
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PIL.Image.Image: PNG image
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"""
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try:
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# Write SVG to a temporary file
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with tempfile.NamedTemporaryFile(suffix=".svg", delete=False) as f:
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f.write(svg_string.encode('utf-8'))
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svg_path = f.name
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# Convert SVG to PNG using cairosvg or other method
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png_path = svg_path.replace('.svg', '.png')
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try:
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# Try using cairosvg
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import cairosvg
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cairosvg.svg2png(url=svg_path, write_to=png_path, output_width=width, output_height=height)
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except ImportError:
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# Fall back to using Inkscape or other command-line tools
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try:
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subprocess.run(['inkscape', '--export-filename', png_path, svg_path], check=True)
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except (subprocess.SubprocessError, FileNotFoundError):
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# If all else fails, create a simple image with PIL
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image = Image.new('RGB', (width, height), color=(240, 240, 240))
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draw = ImageDraw.Draw(image)
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draw.text((width//2, height//2), "SVG Rendering Failed", fill=(255, 0, 0), anchor="mm")
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image.save(png_path)
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# Load the PNG image
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image = Image.open(png_path)
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# Clean up temporary files
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os.remove(svg_path)
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os.remove(png_path)
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return image
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except Exception as e:
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print(f"Error converting SVG to PNG: {e}")
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# Create a simple error image
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image = Image.new('RGB', (width, height), color=(240, 240, 240))
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draw = ImageDraw.Draw(image)
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draw.text((width//2, height//2), f"SVG Rendering Error: {str(e)}", fill=(255, 0, 0), anchor="mm")
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return image
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def __call__(self, data):
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"""
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Process the input data and generate SVG output.
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@@ -195,8 +127,6 @@ class EndpointHandler:
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if not prompt:
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# Create a default error image
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error_img = Image.new('RGB', (512, 512), color=(240, 240, 240))
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draw = ImageDraw.Draw(error_img)
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draw.text((256, 256), "Error: Prompt is required", fill=(255, 0, 0), anchor="mm")
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return error_img
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negative_prompt = data.get("negative_prompt", "")
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@@ -213,11 +143,5 @@ class EndpointHandler:
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seed=seed
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)
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# Add metadata to the image
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draw = ImageDraw.Draw(png_image)
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draw.rectangle((0, 0, 512, 40), fill=(0, 0, 0, 128))
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draw.text((10, 10), f"DiffSketcher: {prompt}", fill=(255, 255, 255))
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draw.text((10, 30), f"Paths: {num_paths}, Guidance: {guidance_scale}, Seed: {seed}", fill=(200, 200, 200))
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# Return the image directly (not as a dictionary)
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return png_image
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import os
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import sys
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import torch
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import numpy as np
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from PIL import Image
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import random
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import io
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import base64
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import cairosvg
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class EndpointHandler:
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def __init__(self, path=""):
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"""
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self.path = path
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self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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print(f"Initializing DiffSketcher handler on {self.device}")
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# In a real implementation, we would load the model weights and initialize all components
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# For now, we'll use a placeholder implementation
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def svg_to_png(self, svg_string, width=512, height=512):
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"""
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Convert SVG string to PNG image.
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Args:
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svg_string (str): SVG string
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width (int): Width of the output image
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height (int): Height of the output image
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Returns:
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PIL.Image.Image: PNG image
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"""
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try:
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# Use cairosvg to convert SVG to PNG
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png_data = cairosvg.svg2png(bytestring=svg_string.encode('utf-8'),
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output_width=width,
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output_height=height)
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return Image.open(io.BytesIO(png_data))
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except Exception as e:
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print(f"Error converting SVG to PNG: {e}")
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# Return a blank image if conversion fails
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return Image.new('RGB', (width, height), color=(240, 240, 240))
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def generate_svg(self, prompt, negative_prompt="", num_paths=96, guidance_scale=7.5, seed=None):
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"""
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Returns:
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tuple: (svg_string, png_image)
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"""
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# Set random seed for reproducibility
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if seed is not None:
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random.seed(seed)
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else:
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random.seed(42)
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# Create a simple SVG with some paths
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svg_string = f"""<svg viewBox="0 0 512 512" xmlns="http://www.w3.org/2000/svg">
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"""
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# Add some random paths
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for i in range(min(num_paths, 20)): # Limit to 20 paths for the placeholder
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x = random.randint(50, 462)
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y = random.randint(50, 462)
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if random.random() < 0.5:
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# Circle
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svg_string += f'<circle cx="{x}" cy="{y}" r="{size/2}" fill="rgb({r},{g},{b})" />'
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else:
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# Rectangle
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svg_string += f'<rect x="{x}" y="{y}" width="{size}" height="{size}" fill="rgb({r},{g},{b})" />'
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# Add some lines
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for i in range(min(num_paths // 2, 10)): # Limit to 10 lines for the placeholder
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b = random.randint(0, 255)
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width = random.randint(1, 5)
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svg_string += f'<line x1="{x1}" y1="{y1}" x2="{x2}" y2="{y2}" stroke="rgb({r},{g},{b})" stroke-width="{width}" />'
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svg_string += "</svg>"
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return svg_string, png_image
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def __call__(self, data):
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"""
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Process the input data and generate SVG output.
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if not prompt:
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# Create a default error image
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error_img = Image.new('RGB', (512, 512), color=(240, 240, 240))
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return error_img
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negative_prompt = data.get("negative_prompt", "")
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seed=seed
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)
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# Return the image directly (not as a dictionary)
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return png_image
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