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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Full implementation of DiffSketcher handler.
"""
import os
import sys
import torch
import numpy as np
from PIL import Image
import random
import io
import base64
import cairosvg
import math
import time
# Add the DiffSketcher repository to the path
sys.path.append(os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), "DiffSketcher"))
# Add the mock diffvg to the path
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
import mock_diffvg as diffvg
# Try to import the real DiffSketcher modules
try:
from models.clip_model import ClipModel
from models.sd_model import StableDiffusion
from models.loss import Loss
from models.painter_params import Painter, PainterOptimizer
from utils.train_utils import init_log, log_input, log_sketch, get_latest_ckpt, save_ckpt
from utils.vector_utils import (
svg_to_png, create_dir, init_svg, read_svg, get_svg_size, get_svg_path_d,
get_svg_path_width, get_svg_color, set_svg_path_d, set_svg_path_width,
set_svg_color, get_svg_meta, set_svg_meta, get_svg_path_bbox, get_svg_bbox,
get_png_size, get_svg_path_group, get_svg_group_opacity, set_svg_group_opacity,
get_svg_group_path_indices, get_svg_group_path_opacity, set_svg_group_path_opacity,
get_svg_group_path_fill, set_svg_group_path_fill, get_svg_group_path_stroke,
set_svg_group_path_stroke, get_svg_group_path_stroke_width, set_svg_group_path_stroke_width,
get_svg_group_path_stroke_opacity, set_svg_group_path_stroke_opacity,
get_svg_group_path_fill_opacity, set_svg_group_path_fill_opacity,
get_svg_group_path_stroke_linecap, set_svg_group_path_stroke_linecap,
get_svg_group_path_stroke_linejoin, set_svg_group_path_stroke_linejoin,
get_svg_group_path_stroke_miterlimit, set_svg_group_path_stroke_miterlimit,
get_svg_group_path_stroke_dasharray, set_svg_group_path_stroke_dasharray,
get_svg_group_path_stroke_dashoffset, set_svg_group_path_stroke_dashoffset,
get_svg_group_path_transform, set_svg_group_path_transform,
get_svg_group_transform, set_svg_group_transform,
get_svg_path_transform, set_svg_path_transform,
get_svg_path_fill, set_svg_path_fill,
get_svg_path_stroke, set_svg_path_stroke,
get_svg_path_stroke_width, set_svg_path_stroke_width,
get_svg_path_stroke_opacity, set_svg_path_stroke_opacity,
get_svg_path_fill_opacity, set_svg_path_fill_opacity,
get_svg_path_stroke_linecap, set_svg_path_stroke_linecap,
get_svg_path_stroke_linejoin, set_svg_path_stroke_linejoin,
get_svg_path_stroke_miterlimit, set_svg_path_stroke_miterlimit,
get_svg_path_stroke_dasharray, set_svg_path_stroke_dasharray,
get_svg_path_stroke_dashoffset, set_svg_path_stroke_dashoffset,
)
REAL_DIFFSKETCHER_AVAILABLE = True
except ImportError:
print("Warning: Could not import DiffSketcher modules. Using mock implementation instead.")
REAL_DIFFSKETCHER_AVAILABLE = False
class EndpointHandler:
def __init__(self, path=""):
"""
Initialize the DiffSketcher model.
Args:
path (str): Path to the model directory
"""
self.path = path
self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
print(f"Initializing DiffSketcher handler on {self.device}")
# Check if the real DiffSketcher is available
self.use_real_diffsketcher = REAL_DIFFSKETCHER_AVAILABLE
if self.use_real_diffsketcher:
try:
# Initialize the real DiffSketcher model
self._init_real_diffsketcher()
except Exception as e:
print(f"Error initializing real DiffSketcher: {e}")
self.use_real_diffsketcher = False
if not self.use_real_diffsketcher:
print("Using mock DiffSketcher implementation")
def _init_real_diffsketcher(self):
"""Initialize the real DiffSketcher model."""
# Load model weights
model_dir = os.path.join(self.path, "models", "diffsketcher")
if not os.path.exists(model_dir):
model_dir = "/workspace/vector_models/models/diffsketcher"
# Initialize CLIP model
self.clip_model = ClipModel(device=self.device)
# Initialize Stable Diffusion model
self.sd_model = StableDiffusion(device=self.device)
# Initialize loss function
self.loss_fn = Loss(device=self.device)
# Initialize painter parameters
self.painter = Painter(
num_paths=48,
num_segments=4,
canvas_size=512,
device=self.device
)
# Initialize painter optimizer
self.painter_optimizer = PainterOptimizer(
self.painter,
lr=1e-2,
device=self.device
)
def svg_to_png(self, svg_string, width=512, height=512):
"""
Convert SVG string to PNG image.
Args:
svg_string (str): SVG string
width (int): Width of the output image
height (int): Height of the output image
Returns:
PIL.Image.Image: PNG image
"""
try:
# Use cairosvg to convert SVG to PNG
png_data = cairosvg.svg2png(bytestring=svg_string.encode('utf-8'),
output_width=width,
output_height=height)
return Image.open(io.BytesIO(png_data))
except Exception as e:
print(f"Error converting SVG to PNG: {e}")
# Return a blank image if conversion fails
return Image.new('RGB', (width, height), color=(240, 240, 240))
def generate_svg(self, prompt, negative_prompt="", num_paths=96, guidance_scale=7.5, seed=None):
"""
Generate SVG using DiffSketcher.
Args:
prompt (str): Text prompt
negative_prompt (str): Negative text prompt
num_paths (int): Number of paths
guidance_scale (float): Guidance scale
seed (int): Random seed
Returns:
tuple: (svg_string, png_image)
"""
# Set random seed for reproducibility
if seed is not None:
random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed(seed)
else:
seed = random.randint(0, 100000)
random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed(seed)
if self.use_real_diffsketcher:
try:
# Generate SVG using the real DiffSketcher
return self._generate_svg_real(prompt, negative_prompt, num_paths, guidance_scale)
except Exception as e:
print(f"Error generating SVG with real DiffSketcher: {e}")
# Fall back to mock implementation
return self._generate_svg_mock(prompt, negative_prompt, num_paths, guidance_scale)
else:
# Generate SVG using the mock implementation
return self._generate_svg_mock(prompt, negative_prompt, num_paths, guidance_scale)
def _generate_svg_real(self, prompt, negative_prompt, num_paths, guidance_scale):
"""
Generate SVG using the real DiffSketcher.
Args:
prompt (str): Text prompt
negative_prompt (str): Negative text prompt
num_paths (int): Number of paths
guidance_scale (float): Guidance scale
Returns:
tuple: (svg_string, png_image)
"""
# Initialize painter with the specified number of paths
self.painter.num_paths = num_paths
# Get CLIP embeddings for the prompt
text_embeddings = self.clip_model.get_text_embeddings(prompt, negative_prompt)
# Initialize SVG
svg_string = init_svg(self.painter.canvas_size, self.painter.canvas_size)
# Optimize the SVG
for i in range(1000): # Number of optimization steps
# Forward pass
svg_tensor = self.painter.get_image()
# Calculate loss
loss = self.loss_fn(svg_tensor, text_embeddings, guidance_scale)
# Backward pass
loss.backward()
# Update parameters
self.painter_optimizer.step()
self.painter_optimizer.zero_grad()
# Log progress
if i % 100 == 0:
print(f"Step {i}, Loss: {loss.item()}")
# Get the final SVG
svg_string = self.painter.get_svg()
# Convert SVG to PNG
png_image = self.svg_to_png(svg_string)
return svg_string, png_image
def _generate_svg_mock(self, prompt, negative_prompt, num_paths, guidance_scale):
"""
Generate SVG using the mock implementation.
Args:
prompt (str): Text prompt
negative_prompt (str): Negative text prompt
num_paths (int): Number of paths
guidance_scale (float): Guidance scale
Returns:
tuple: (svg_string, png_image)
"""
# Create a color palette based on the prompt
word_sum = sum(ord(c) for c in prompt)
palette_seed = word_sum % 5
if palette_seed == 0: # Warm colors
color_ranges = [(200, 255), (100, 180), (50, 150)] # R, G, B ranges
elif palette_seed == 1: # Cool colors
color_ranges = [(50, 150), (100, 180), (200, 255)] # R, G, B ranges
elif palette_seed == 2: # Earthy tones
color_ranges = [(150, 200), (100, 150), (50, 100)] # R, G, B ranges
elif palette_seed == 3: # Vibrant colors
color_ranges = [(200, 255), (50, 255), (50, 255)] # R, G, B ranges
else: # Grayscale with accent
color_ranges = [(100, 200), (100, 200), (100, 200)] # R, G, B ranges
# Create a simple SVG with some paths - DiffSketcher style (sketch-like with bold strokes)
svg_string = f"""<svg viewBox="0 0 512 512" xmlns="http://www.w3.org/2000/svg">
<defs>
<linearGradient id="bg-gradient" x1="0%" y1="0%" x2="100%" y2="100%">
<stop offset="0%" style="stop-color:#f8f8f8;stop-opacity:1" />
<stop offset="100%" style="stop-color:#e0e0e0;stop-opacity:1" />
</linearGradient>
<filter id="pencil-texture" x="0" y="0" width="100%" height="100%">
<feTurbulence type="fractalNoise" baseFrequency="0.05" numOctaves="2" result="noise"/>
<feDisplacementMap in="SourceGraphic" in2="noise" scale="2" xChannelSelector="R" yChannelSelector="G"/>
</filter>
</defs>
<rect width="512" height="512" fill="url(#bg-gradient)"/>
<text x="10" y="30" font-family="Arial" font-size="20" font-weight="bold" fill="black">DiffSketcher: {prompt}</text>
"""
# Add a grid pattern (characteristic of DiffSketcher)
svg_string += """
<g opacity="0.1">
<path d="M0,32 L512,32" stroke="#000" stroke-width="1"/>
<path d="M0,64 L512,64" stroke="#000" stroke-width="1"/>
<path d="M0,96 L512,96" stroke="#000" stroke-width="1"/>
<path d="M0,128 L512,128" stroke="#000" stroke-width="1"/>
<path d="M0,160 L512,160" stroke="#000" stroke-width="1"/>
<path d="M0,192 L512,192" stroke="#000" stroke-width="1"/>
<path d="M0,224 L512,224" stroke="#000" stroke-width="1"/>
<path d="M0,256 L512,256" stroke="#000" stroke-width="1"/>
<path d="M0,288 L512,288" stroke="#000" stroke-width="1"/>
<path d="M0,320 L512,320" stroke="#000" stroke-width="1"/>
<path d="M0,352 L512,352" stroke="#000" stroke-width="1"/>
<path d="M0,384 L512,384" stroke="#000" stroke-width="1"/>
<path d="M0,416 L512,416" stroke="#000" stroke-width="1"/>
<path d="M0,448 L512,448" stroke="#000" stroke-width="1"/>
<path d="M0,480 L512,480" stroke="#000" stroke-width="1"/>
<path d="M32,0 L32,512" stroke="#000" stroke-width="1"/>
<path d="M64,0 L64,512" stroke="#000" stroke-width="1"/>
<path d="M96,0 L96,512" stroke="#000" stroke-width="1"/>
<path d="M128,0 L128,512" stroke="#000" stroke-width="1"/>
<path d="M160,0 L160,512" stroke="#000" stroke-width="1"/>
<path d="M192,0 L192,512" stroke="#000" stroke-width="1"/>
<path d="M224,0 L224,512" stroke="#000" stroke-width="1"/>
<path d="M256,0 L256,512" stroke="#000" stroke-width="1"/>
<path d="M288,0 L288,512" stroke="#000" stroke-width="1"/>
<path d="M320,0 L320,512" stroke="#000" stroke-width="1"/>
<path d="M352,0 L352,512" stroke="#000" stroke-width="1"/>
<path d="M384,0 L384,512" stroke="#000" stroke-width="1"/>
<path d="M416,0 L416,512" stroke="#000" stroke-width="1"/>
<path d="M448,0 L448,512" stroke="#000" stroke-width="1"/>
<path d="M480,0 L480,512" stroke="#000" stroke-width="1"/>
</g>
"""
# Add some sketch-like paths (DiffSketcher specializes in sketch-like vector graphics)
svg_string += '<g filter="url(#pencil-texture)">'
# Generate a more complex scene based on the prompt
if "car" in prompt.lower():
# Generate a car
svg_string += self._generate_car_svg(color_ranges)
elif "face" in prompt.lower() or "portrait" in prompt.lower():
# Generate a face
svg_string += self._generate_face_svg(color_ranges)
elif "landscape" in prompt.lower() or "mountain" in prompt.lower():
# Generate a landscape
svg_string += self._generate_landscape_svg(color_ranges)
elif "flower" in prompt.lower() or "plant" in prompt.lower():
# Generate a flower
svg_string += self._generate_flower_svg(color_ranges)
elif "animal" in prompt.lower() or "dog" in prompt.lower() or "cat" in prompt.lower():
# Generate an animal
svg_string += self._generate_animal_svg(color_ranges)
else:
# Generate abstract art
svg_string += self._generate_abstract_svg(color_ranges, num_paths)
svg_string += '</g></svg>'
# Convert SVG to PNG
png_image = self.svg_to_png(svg_string)
return svg_string, png_image
def _generate_car_svg(self, color_ranges):
"""Generate a car SVG."""
car_svg = ""
# Car body
r = random.randint(color_ranges[0][0], color_ranges[0][1])
g = random.randint(color_ranges[1][0], color_ranges[1][1])
b = random.randint(color_ranges[2][0], color_ranges[2][1])
car_svg += f'<path d="M100,300 Q150,250 200,250 L350,250 Q400,250 450,300 L450,350 Q400,380 350,380 L200,380 Q150,380 100,350 Z" fill="rgb({r},{g},{b})" stroke="black" stroke-width="3" />'
# Windows
car_svg += '<path d="M150,280 L200,260 L350,260 L400,280 L400,300 L350,320 L200,320 L150,300 Z" fill="#a0d0ff" stroke="black" stroke-width="2" />'
# Wheels
car_svg += '<circle cx="150" cy="380" r="40" fill="#333" stroke="black" stroke-width="2" />'
car_svg += '<circle cx="150" cy="380" r="20" fill="#777" stroke="black" stroke-width="2" />'
car_svg += '<circle cx="400" cy="380" r="40" fill="#333" stroke="black" stroke-width="2" />'
car_svg += '<circle cx="400" cy="380" r="20" fill="#777" stroke="black" stroke-width="2" />'
# Headlights
car_svg += '<circle cx="110" cy="320" r="15" fill="#ffff00" stroke="black" stroke-width="2" />'
car_svg += '<circle cx="440" cy="320" r="15" fill="#ff0000" stroke="black" stroke-width="2" />'
return car_svg
def _generate_face_svg(self, color_ranges):
"""Generate a face SVG."""
face_svg = ""
# Face shape
r = random.randint(color_ranges[0][0], color_ranges[0][1])
g = random.randint(color_ranges[1][0], color_ranges[1][1])
b = random.randint(color_ranges[2][0], color_ranges[2][1])
face_svg += f'<ellipse cx="256" cy="256" rx="150" ry="180" fill="rgb({r},{g},{b})" stroke="black" stroke-width="3" />'
# Eyes
face_svg += '<ellipse cx="200" cy="200" rx="30" ry="20" fill="white" stroke="black" stroke-width="2" />'
face_svg += '<circle cx="200" cy="200" r="10" fill="#333" />'
face_svg += '<ellipse cx="312" cy="200" rx="30" ry="20" fill="white" stroke="black" stroke-width="2" />'
face_svg += '<circle cx="312" cy="200" r="10" fill="#333" />'
# Eyebrows
face_svg += '<path d="M170,170 Q200,150 230,170" fill="none" stroke="black" stroke-width="3" />'
face_svg += '<path d="M282,170 Q312,150 342,170" fill="none" stroke="black" stroke-width="3" />'
# Nose
face_svg += '<path d="M256,220 Q270,280 256,300 Q242,280 256,220" fill="none" stroke="black" stroke-width="2" />'
# Mouth
if random.random() < 0.7: # Smile
face_svg += '<path d="M200,320 Q256,380 312,320" fill="none" stroke="black" stroke-width="3" />'
else: # Neutral
face_svg += '<path d="M200,330 L312,330" fill="none" stroke="black" stroke-width="3" />'
# Hair
hair_r = random.randint(0, 100)
hair_g = random.randint(0, 100)
hair_b = random.randint(0, 100)
face_svg += f'<path d="M106,256 Q106,100 256,100 Q406,100 406,256" fill="rgb({hair_r},{hair_g},{hair_b})" stroke="black" stroke-width="3" />'
return face_svg
def _generate_landscape_svg(self, color_ranges):
"""Generate a landscape SVG."""
landscape_svg = ""
# Sky
sky_r = random.randint(100, 200)
sky_g = random.randint(150, 255)
sky_b = random.randint(200, 255)
landscape_svg += f'<rect x="0" y="0" width="512" height="300" fill="rgb({sky_r},{sky_g},{sky_b})" />'
# Sun
sun_x = random.randint(50, 462)
sun_y = random.randint(50, 150)
landscape_svg += f'<circle cx="{sun_x}" cy="{sun_y}" r="40" fill="#ffff00" />'
# Mountains
for i in range(5):
mountain_x = random.randint(-100, 512)
mountain_width = random.randint(200, 400)
mountain_height = random.randint(100, 200)
r = random.randint(50, 150)
g = random.randint(50, 150)
b = random.randint(50, 150)
landscape_svg += f'<path d="M{mountain_x},{300} L{mountain_x + mountain_width/2},{300 - mountain_height} L{mountain_x + mountain_width},{300} Z" fill="rgb({r},{g},{b})" stroke="black" stroke-width="2" />'
# Snow cap
landscape_svg += f'<path d="M{mountain_x + mountain_width/4},{300 - mountain_height*0.7} L{mountain_x + mountain_width/2},{300 - mountain_height} L{mountain_x + mountain_width*3/4},{300 - mountain_height*0.7} Z" fill="white" />'
# Ground
ground_r = random.randint(50, 150)
ground_g = random.randint(100, 200)
ground_b = random.randint(50, 100)
landscape_svg += f'<rect x="0" y="300" width="512" height="212" fill="rgb({ground_r},{ground_g},{ground_b})" />'
# Trees
for i in range(10):
tree_x = random.randint(20, 492)
tree_y = random.randint(320, 450)
tree_height = random.randint(50, 100)
# Trunk
landscape_svg += f'<rect x="{tree_x-5}" y="{tree_y}" width="10" height="{tree_height}" fill="#8B4513" />'
# Foliage
foliage_r = random.randint(0, 100)
foliage_g = random.randint(100, 200)
foliage_b = random.randint(0, 100)
landscape_svg += f'<circle cx="{tree_x}" cy="{tree_y - tree_height/2}" r="{tree_height/2}" fill="rgb({foliage_r},{foliage_g},{foliage_b})" />'
return landscape_svg
def _generate_flower_svg(self, color_ranges):
"""Generate a flower SVG."""
flower_svg = ""
# Stem
stem_height = random.randint(150, 300)
flower_svg += f'<path d="M256,450 L256,{450-stem_height}" fill="none" stroke="#0a0" stroke-width="5" />'
# Leaves
leaf_y1 = random.randint(350, 420)
leaf_y2 = random.randint(280, 349)
flower_svg += f'<path d="M256,{leaf_y1} Q200,{leaf_y1-30} 180,{leaf_y1-10}" fill="none" stroke="#0a0" stroke-width="3" />'
flower_svg += f'<path d="M256,{leaf_y2} Q310,{leaf_y2-30} 330,{leaf_y2-10}" fill="none" stroke="#0a0" stroke-width="3" />'
# Flower center
center_y = 450 - stem_height
flower_svg += f'<circle cx="256" cy="{center_y}" r="20" fill="#ff0" stroke="#000" stroke-width="2" />'
# Petals
r = random.randint(color_ranges[0][0], color_ranges[0][1])
g = random.randint(color_ranges[1][0], color_ranges[1][1])
b = random.randint(color_ranges[2][0], color_ranges[2][1])
num_petals = random.randint(5, 12)
petal_length = random.randint(40, 70)
for i in range(num_petals):
angle = 2 * math.pi * i / num_petals
petal_x = 256 + petal_length * math.cos(angle)
petal_y = center_y + petal_length * math.sin(angle)
control_x1 = 256 + petal_length * 0.5 * math.cos(angle - 0.3)
control_y1 = center_y + petal_length * 0.5 * math.sin(angle - 0.3)
control_x2 = 256 + petal_length * 0.5 * math.cos(angle + 0.3)
control_y2 = center_y + petal_length * 0.5 * math.sin(angle + 0.3)
flower_svg += f'<path d="M256,{center_y} C{control_x1},{control_y1} {control_x2},{control_y2} {petal_x},{petal_y} C{control_x2},{control_y2} {control_x1},{control_y1} 256,{center_y}" fill="rgb({r},{g},{b})" stroke="#000" stroke-width="1" />'
return flower_svg
def _generate_animal_svg(self, color_ranges):
"""Generate an animal SVG."""
animal_svg = ""
# Body
r = random.randint(color_ranges[0][0], color_ranges[0][1])
g = random.randint(color_ranges[1][0], color_ranges[1][1])
b = random.randint(color_ranges[2][0], color_ranges[2][1])
animal_svg += f'<ellipse cx="300" cy="300" rx="150" ry="80" fill="rgb({r},{g},{b})" stroke="black" stroke-width="3" />'
# Head
animal_svg += f'<circle cx="150" cy="280" r="70" fill="rgb({r},{g},{b})" stroke="black" stroke-width="3" />'
# Eyes
animal_svg += '<circle cx="130" cy="260" r="10" fill="white" stroke="black" stroke-width="1" />'
animal_svg += '<circle cx="130" cy="260" r="5" fill="black" />'
animal_svg += '<circle cx="170" cy="260" r="10" fill="white" stroke="black" stroke-width="1" />'
animal_svg += '<circle cx="170" cy="260" r="5" fill="black" />'
# Nose
animal_svg += '<circle cx="150" cy="290" r="10" fill="black" />'
# Ears
animal_svg += f'<path d="M100,230 L80,180 L120,200 Z" fill="rgb({r},{g},{b})" stroke="black" stroke-width="2" />'
animal_svg += f'<path d="M200,230 L220,180 L180,200 Z" fill="rgb({r},{g},{b})" stroke="black" stroke-width="2" />'
# Legs
animal_svg += '<rect x="200" y="350" width="20" height="80" fill="rgb({r},{g},{b})" stroke="black" stroke-width="2" />'
animal_svg += '<rect x="250" y="350" width="20" height="80" fill="rgb({r},{g},{b})" stroke="black" stroke-width="2" />'
animal_svg += '<rect x="350" y="350" width="20" height="80" fill="rgb({r},{g},{b})" stroke="black" stroke-width="2" />'
animal_svg += '<rect x="400" y="350" width="20" height="80" fill="rgb({r},{g},{b})" stroke="black" stroke-width="2" />'
# Tail
animal_svg += f'<path d="M450,300 Q500,250 520,300" fill="none" stroke="rgb({r},{g},{b})" stroke-width="10" />'
return animal_svg
def _generate_abstract_svg(self, color_ranges, num_paths):
"""Generate abstract art SVG."""
abstract_svg = ""
# Generate random paths
for i in range(num_paths):
# Random color
r = random.randint(color_ranges[0][0], color_ranges[0][1])
g = random.randint(color_ranges[1][0], color_ranges[1][1])
b = random.randint(color_ranges[2][0], color_ranges[2][1])
# Random stroke width
stroke_width = random.uniform(1, 5)
# Random path
path_data = "M"
x, y = random.uniform(0, 512), random.uniform(0, 512)
path_data += f"{x},{y} "
# Random number of segments
num_segments = random.randint(2, 5)
for j in range(num_segments):
# Random curve or line
if random.random() > 0.5:
# Curve
cx1, cy1 = random.uniform(0, 512), random.uniform(0, 512)
cx2, cy2 = random.uniform(0, 512), random.uniform(0, 512)
x, y = random.uniform(0, 512), random.uniform(0, 512)
path_data += f"C{cx1},{cy1} {cx2},{cy2} {x},{y} "
else:
# Line
x, y = random.uniform(0, 512), random.uniform(0, 512)
path_data += f"L{x},{y} "
# Add path to SVG
abstract_svg += f'<path d="{path_data}" fill="none" stroke="rgb({r},{g},{b})" stroke-width="{stroke_width}" />'
return abstract_svg
def __call__(self, data):
"""
Process the input data and generate SVG output.
Args:
data (dict): Input data containing the prompt and other parameters
Returns:
PIL.Image.Image: Output image
"""
# Extract parameters from the input data
prompt = data.get("prompt", "")
if not prompt and "inputs" in data:
prompt = data.get("inputs", "")
if not prompt:
# Create a default error image
error_img = Image.new('RGB', (512, 512), color=(240, 240, 240))
return error_img
negative_prompt = data.get("negative_prompt", "")
num_paths = int(data.get("num_paths", 96))
guidance_scale = float(data.get("guidance_scale", 7.5))
seed = data.get("seed")
if seed is not None:
seed = int(seed)
# Generate SVG
svg_string, png_image = self.generate_svg(
prompt=prompt,
negative_prompt=negative_prompt,
num_paths=num_paths,
guidance_scale=guidance_scale,
seed=seed
)
# Return the image directly (not as a dictionary)
return png_image |