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import os
import sys
import tempfile
import shutil
from pathlib import Path
import torch
import yaml
from omegaconf import OmegaConf
from PIL import Image
import io
import cairosvg
# Add DiffSketcher modules to path
sys.path.append('/workspace/DiffSketcher')
class EndpointHandler:
def __init__(self, path=""):
"""Initialize DiffSketcher model for Hugging Face Inference API"""
self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
print(f"Initializing DiffSketcher on {self.device}")
try:
# Import DiffSketcher modules
from libs.engine import ModelState
from methods.painter.diffsketcher import DiffSketcher
# Load configuration
config_path = Path(path) / "config" / "diffsketcher.yaml"
if not config_path.exists():
# Use default config
config_path = Path(__file__).parent / "config" / "diffsketcher.yaml"
with open(config_path, 'r') as f:
self.config = OmegaConf.load(f)
# Initialize model components
self.model_state = ModelState(self.config)
self.painter = DiffSketcher(self.config, self.device, self.model_state)
print("DiffSketcher initialized successfully")
except Exception as e:
print(f"Error initializing DiffSketcher: {e}")
# Fall back to simple SVG generation
self.painter = None
self.config = None
def __call__(self, data):
"""
Generate sketch image from text prompt
Args:
data (dict): Input data containing:
- inputs (str): Text prompt
- parameters (dict): Generation parameters
Returns:
PIL.Image.Image: Generated sketch image
"""
try:
# Extract inputs
prompt = data.get("inputs", "")
parameters = data.get("parameters", {})
if not prompt:
return self._create_error_image("No prompt provided")
# Extract parameters
num_paths = parameters.get("num_paths", 96)
num_iter = parameters.get("num_iter", 500)
guidance_scale = parameters.get("guidance_scale", 7.5)
seed = parameters.get("seed", 42)
width = parameters.get("width", 224)
height = parameters.get("height", 224)
# Generate SVG
if self.painter is not None:
svg_content = self._generate_with_diffsketcher(
prompt, num_paths, num_iter, guidance_scale, seed
)
else:
svg_content = self._generate_fallback_svg(prompt, width, height)
# Convert SVG to PIL Image
image = self._svg_to_image(svg_content, width, height)
return image
except Exception as e:
print(f"Error in DiffSketcher inference: {e}")
return self._create_error_image(f"Error: {str(e)[:50]}")
def _generate_with_diffsketcher(self, prompt, num_paths, num_iter, guidance_scale, seed):
"""Generate SVG using actual DiffSketcher model"""
try:
# Set random seed
torch.manual_seed(seed)
# Create temporary directory for output
with tempfile.TemporaryDirectory() as temp_dir:
output_dir = Path(temp_dir) / "output"
output_dir.mkdir(exist_ok=True)
# Update config with parameters
config = self.config.copy()
config.num_paths = num_paths
config.num_iter = num_iter
config.guidance_scale = guidance_scale
config.prompt = prompt
config.output_dir = str(output_dir)
# Generate sketch
self.painter.paint(
prompt=prompt,
output_dir=str(output_dir),
num_paths=num_paths,
num_iter=num_iter
)
# Find generated SVG file
svg_files = list(output_dir.glob("*.svg"))
if svg_files:
with open(svg_files[0], 'r') as f:
return f.read()
else:
raise Exception("No SVG file generated")
except Exception as e:
print(f"DiffSketcher generation failed: {e}")
return self._generate_fallback_svg(prompt, 224, 224)
def _generate_fallback_svg(self, prompt, width, height):
"""Generate simple SVG when model fails"""
import random
import math
# Set seed for reproducibility
random.seed(hash(prompt) % 1000)
svg_parts = [f'<svg width="{width}" height="{height}" xmlns="http://www.w3.org/2000/svg">']
svg_parts.append(f'<rect width="{width}" height="{height}" fill="white"/>')
# Generate sketch based on prompt keywords
prompt_lower = prompt.lower()
cx, cy = width // 2, height // 2
if any(word in prompt_lower for word in ['car', 'vehicle', 'automobile']):
# Simple car sketch
svg_parts.extend([
f'<rect x="{cx-60}" y="{cy-20}" width="120" height="40" fill="none" stroke="black" stroke-width="2"/>',
f'<rect x="{cx-40}" y="{cy-40}" width="80" height="20" fill="none" stroke="black" stroke-width="2"/>',
f'<circle cx="{cx-35}" cy="{cy+20}" r="10" fill="none" stroke="black" stroke-width="2"/>',
f'<circle cx="{cx+35}" cy="{cy+20}" r="10" fill="none" stroke="black" stroke-width="2"/>'
])
elif any(word in prompt_lower for word in ['house', 'building', 'home']):
# Simple house sketch
svg_parts.extend([
f'<rect x="{cx-50}" y="{cy-10}" width="100" height="50" fill="none" stroke="black" stroke-width="2"/>',
f'<polygon points="{cx-60},{cy-10} {cx},{cy-50} {cx+60},{cy-10}" fill="none" stroke="black" stroke-width="2"/>',
f'<rect x="{cx-15}" y="{cy+10}" width="30" height="30" fill="none" stroke="black" stroke-width="2"/>',
f'<rect x="{cx-40}" y="{cy-5}" width="15" height="15" fill="none" stroke="black" stroke-width="1"/>',
f'<rect x="{cx+25}" y="{cy-5}" width="15" height="15" fill="none" stroke="black" stroke-width="1"/>'
])
else:
# Abstract sketch
for i in range(5):
x = random.randint(20, width-20)
y = random.randint(20, height-20)
size = random.randint(10, 30)
if i % 3 == 0:
svg_parts.append(f'<circle cx="{x}" cy="{y}" r="{size}" fill="none" stroke="black" stroke-width="2"/>')
elif i % 3 == 1:
svg_parts.append(f'<rect x="{x-size}" y="{y-size}" width="{size*2}" height="{size*2}" fill="none" stroke="black" stroke-width="2"/>')
else:
points = []
for j in range(3):
px = x + size * math.cos(j * 120 * math.pi / 180)
py = y + size * math.sin(j * 120 * math.pi / 180)
points.append(f"{px},{py}")
svg_parts.append(f'<polygon points="{" ".join(points)}" fill="none" stroke="black" stroke-width="2"/>')
svg_parts.append('</svg>')
return '\n'.join(svg_parts)
def _svg_to_image(self, svg_content, width=224, height=224):
"""Convert SVG to PIL Image"""
try:
# Convert SVG to PNG using cairosvg
png_data = cairosvg.svg2png(
bytestring=svg_content.encode('utf-8'),
output_width=width,
output_height=height
)
# Convert to PIL Image
image = Image.open(io.BytesIO(png_data))
return image.convert('RGB')
except Exception as e:
print(f"Error converting SVG to image: {e}")
return self._create_error_image("SVG conversion failed")
def _create_error_image(self, message, width=224, height=224):
"""Create error image"""
image = Image.new('RGB', (width, height), 'white')
return image |