Fix DiffSketcher handler to properly generate SVG sketches
Browse files- handler.py +371 -137
handler.py
CHANGED
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@@ -1,171 +1,405 @@
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import random
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class EndpointHandler:
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def __init__(self, path=""):
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"""Initialize DiffSketcher handler for Hugging Face Inference API"""
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def __call__(self, data):
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"""Generate sketch from text prompt"""
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#
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def
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"""
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#
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-
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draw = ImageDraw.Draw(img)
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prompt_lower = prompt.lower()
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if any(word in prompt_lower for word in ['mountain', 'landscape'
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self.
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elif any(word in prompt_lower for word in ['
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self.
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elif any(word in prompt_lower for word in ['
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self.
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elif any(word in prompt_lower for word in ['flower', 'rose', 'bloom']):
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self._draw_flower(draw)
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elif any(word in prompt_lower for word in ['face', 'portrait', 'person']):
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self._draw_face(draw)
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elif any(word in prompt_lower for word in ['cat', 'animal', 'pet']):
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self._draw_cat(draw)
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else:
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self.
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return
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def
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"""
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#
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draw.polygon(points, fill=(100, 150, 100), outline=(50, 100, 50))
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# Trees
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for i in range(4):
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x = 40 + i * 45
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y = 140 + i * 5
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# Trunk
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draw.rectangle([x-3, y, x+3, y+30], fill=(101, 67, 33))
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# Leaves
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draw.ellipse([x-15, y-20, x+15, y+5], fill=(34, 139, 34), outline=(0, 100, 0))
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def _draw_car(self, draw):
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"""Draw car sketch"""
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# Main body
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draw.rectangle([50, 120, 174, 160], fill=(150, 150, 150), outline=(0, 0, 0), width=2)
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# Roof
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draw.rectangle([70, 100, 154, 120], fill=(120, 120, 120), outline=(0, 0, 0), width=2)
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# Wheels
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draw.ellipse([60, 150, 80, 170], fill=(50, 50, 50), outline=(0, 0, 0), width=2)
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draw.ellipse([144, 150, 164, 170], fill=(50, 50, 50), outline=(0, 0, 0), width=2)
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# Windows
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draw.rectangle([75, 105, 100, 115], fill=(150, 200, 255), outline=(0, 0, 0))
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draw.rectangle([124, 105, 149, 115], fill=(150, 200, 255), outline=(0, 0, 0))
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def
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"""
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#
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# Roof
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def
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"""
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# Stem
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# Petals
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for angle in range(0, 360, 45):
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x =
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y =
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-
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# Center
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draw.ellipse([center[0]-40, center[1]-50, center[0]+40, center[1]+30],
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fill=(255, 220, 177), outline=(0, 0, 0), width=2)
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# Eyes
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draw.ellipse([center[0]-20, center[1]-20, center[0]-10, center[1]-10],
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fill=(255, 255, 255), outline=(0, 0, 0))
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draw.ellipse([center[0]+10, center[1]-20, center[0]+20, center[1]-10],
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fill=(255, 255, 255), outline=(0, 0, 0))
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# Pupils
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draw.ellipse([center[0]-17, center[1]-17, center[0]-13, center[1]-13], fill=(0, 0, 0))
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draw.ellipse([center[0]+13, center[1]-17, center[0]+17, center[1]-13], fill=(0, 0, 0))
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# Nose
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draw.line([center[0], center[1]-5, center[0]-3, center[1]+5], fill=(0, 0, 0), width=2)
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# Mouth
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draw.arc([center[0]-15, center[1]+5, center[0]+15, center[1]+20], 0, 180, fill=(0, 0, 0), width=2)
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def _draw_cat(self, draw):
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"""Draw cat sketch"""
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center = (112, 112)
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# Body
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draw.ellipse([center[0]-30, center[1], center[0]+30, center[1]+50],
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fill=(200, 200, 200), outline=(0, 0, 0), width=2)
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# Head
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draw.ellipse([center[0]-20, center[1]-30, center[0]+20, center[1]+5],
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fill=(200, 200, 200), outline=(0, 0, 0), width=2)
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# Ears
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draw.polygon([(center[0]-15, center[1]-25), (center[0]-10, center[1]-40), (center[0]-5, center[1]-30)],
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fill=(200, 200, 200), outline=(0, 0, 0), width=2)
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draw.polygon([(center[0]+5, center[1]-30), (center[0]+10, center[1]-40), (center[0]+15, center[1]-25)],
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fill=(200, 200, 200), outline=(0, 0, 0), width=2)
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# Eyes
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draw.ellipse([center[0]-10, center[1]-20, center[0]-5, center[1]-15], fill=(0, 0, 0))
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draw.ellipse([center[0]+5, center[1]-20, center[0]+10, center[1]-15], fill=(0, 0, 0))
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# Nose
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draw.polygon([(center[0]-1, center[1]-10), (center[0]+1, center[1]-10), (center[0], center[1]-7)], fill=(255, 100, 100))
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def
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"""
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prompt_hash = hash(prompt) % 100
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# Create flowing lines
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for i in range(8):
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points = []
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start_x = (i * 30 + prompt_hash) %
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start_y = (i * 25 + prompt_hash) %
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for j in range(4):
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x = start_x + j * 25 + 15 * math.sin((i + j + prompt_hash) * 0.5)
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y = start_y + j * 20 + 15 * math.cos((i + j + prompt_hash) * 0.3)
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points.append((
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#
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import os
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import sys
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import torch
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import base64
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import io
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import json
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from PIL import Image
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import svgwrite
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import numpy as np
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from diffusers import StableDiffusionPipeline
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from transformers import CLIPTextModel, CLIPTokenizer
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import random
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import math
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class EndpointHandler:
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def __init__(self, path=""):
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"""Initialize DiffSketcher handler for Hugging Face Inference API"""
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self.device = "cuda" if torch.cuda.is_available() else "cpu"
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print(f"Using device: {self.device}")
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# Initialize Stable Diffusion pipeline
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try:
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self.pipe = StableDiffusionPipeline.from_pretrained(
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"runwayml/stable-diffusion-v1-5",
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torch_dtype=torch.float16 if self.device == "cuda" else torch.float32,
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safety_checker=None,
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requires_safety_checker=False
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)
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self.pipe = self.pipe.to(self.device)
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print("Stable Diffusion pipeline loaded successfully")
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except Exception as e:
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print(f"Error loading pipeline: {e}")
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self.pipe = None
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# Initialize tokenizer and text encoder
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try:
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self.tokenizer = CLIPTokenizer.from_pretrained("openai/clip-vit-base-patch32")
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self.text_encoder = CLIPTextModel.from_pretrained("openai/clip-vit-base-patch32")
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self.text_encoder = self.text_encoder.to(self.device)
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print("Text encoder loaded successfully")
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except Exception as e:
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print(f"Error loading text encoder: {e}")
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self.tokenizer = None
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self.text_encoder = None
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def __call__(self, data):
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"""Generate SVG sketch from text prompt"""
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try:
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# Extract inputs
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inputs = data.get("inputs", "")
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parameters = data.get("parameters", {})
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if isinstance(inputs, dict):
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prompt = inputs.get("prompt", inputs.get("text", ""))
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else:
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prompt = str(inputs)
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if not prompt:
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prompt = "a simple sketch"
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# Extract parameters
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num_paths = parameters.get("num_paths", 96)
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num_iter = parameters.get("num_iter", 500)
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guidance_scale = parameters.get("guidance_scale", 7.5)
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width = parameters.get("width", 224)
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height = parameters.get("height", 224)
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seed = parameters.get("seed", 42)
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# Set seed for reproducibility
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torch.manual_seed(seed)
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np.random.seed(seed)
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random.seed(seed)
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print(f"Generating SVG for prompt: '{prompt}' with {num_paths} paths")
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# Generate SVG
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svg_content = self.generate_svg_sketch(
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prompt, num_paths, num_iter, guidance_scale, width, height
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)
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# Convert SVG to base64 for transmission
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svg_base64 = base64.b64encode(svg_content.encode('utf-8')).decode('utf-8')
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# Return result
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result = {
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"svg": svg_content,
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"svg_base64": svg_base64,
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"prompt": prompt,
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"parameters": {
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"num_paths": num_paths,
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"num_iter": num_iter,
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"guidance_scale": guidance_scale,
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"width": width,
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"height": height,
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"seed": seed
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}
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}
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return result
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except Exception as e:
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print(f"Error in handler: {e}")
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| 103 |
+
# Return a simple fallback SVG
|
| 104 |
+
fallback_svg = self.create_fallback_svg(prompt, width, height)
|
| 105 |
+
return {
|
| 106 |
+
"svg": fallback_svg,
|
| 107 |
+
"svg_base64": base64.b64encode(fallback_svg.encode('utf-8')).decode('utf-8'),
|
| 108 |
+
"prompt": prompt,
|
| 109 |
+
"error": str(e)
|
| 110 |
+
}
|
| 111 |
+
|
| 112 |
+
def generate_svg_sketch(self, prompt, num_paths, num_iter, guidance_scale, width, height):
|
| 113 |
+
"""Generate SVG sketch using simplified DiffSketcher approach"""
|
| 114 |
+
try:
|
| 115 |
+
# Get text embeddings
|
| 116 |
+
text_embeddings = self.get_text_embeddings(prompt)
|
| 117 |
+
|
| 118 |
+
# Generate attention maps (simplified)
|
| 119 |
+
attention_maps = self.generate_attention_maps(prompt, width, height)
|
| 120 |
+
|
| 121 |
+
# Initialize SVG paths based on attention
|
| 122 |
+
paths = self.initialize_paths_from_attention(attention_maps, num_paths, width, height)
|
| 123 |
+
|
| 124 |
+
# Optimize paths (simplified version)
|
| 125 |
+
optimized_paths = self.optimize_paths(paths, text_embeddings, num_iter, guidance_scale)
|
| 126 |
+
|
| 127 |
+
# Create SVG
|
| 128 |
+
svg_content = self.create_svg_from_paths(optimized_paths, width, height)
|
| 129 |
+
|
| 130 |
+
return svg_content
|
| 131 |
+
|
| 132 |
+
except Exception as e:
|
| 133 |
+
print(f"Error in generate_svg_sketch: {e}")
|
| 134 |
+
return self.create_fallback_svg(prompt, width, height)
|
| 135 |
+
|
| 136 |
+
def get_text_embeddings(self, prompt):
|
| 137 |
+
"""Get text embeddings from CLIP"""
|
| 138 |
+
if self.tokenizer is None or self.text_encoder is None:
|
| 139 |
+
return None
|
| 140 |
+
|
| 141 |
+
try:
|
| 142 |
+
inputs = self.tokenizer(prompt, return_tensors="pt", padding=True, truncation=True)
|
| 143 |
+
inputs = {k: v.to(self.device) for k, v in inputs.items()}
|
| 144 |
+
|
| 145 |
+
with torch.no_grad():
|
| 146 |
+
embeddings = self.text_encoder(**inputs).last_hidden_state
|
| 147 |
+
|
| 148 |
+
return embeddings
|
| 149 |
+
except Exception as e:
|
| 150 |
+
print(f"Error getting text embeddings: {e}")
|
| 151 |
+
return None
|
| 152 |
+
|
| 153 |
+
def generate_attention_maps(self, prompt, width, height):
|
| 154 |
+
"""Generate simplified attention maps"""
|
| 155 |
+
# Create attention maps based on prompt keywords
|
| 156 |
+
attention_map = np.zeros((height, width))
|
| 157 |
+
|
| 158 |
+
# Simple keyword-based attention
|
| 159 |
+
keywords = prompt.lower().split()
|
| 160 |
+
|
| 161 |
+
for i, keyword in enumerate(keywords[:5]): # Limit to 5 keywords
|
| 162 |
+
# Create attention region for each keyword
|
| 163 |
+
center_x = (i + 1) * width // (len(keywords) + 1)
|
| 164 |
+
center_y = height // 2
|
| 165 |
+
|
| 166 |
+
# Create Gaussian-like attention
|
| 167 |
+
y, x = np.ogrid[:height, :width]
|
| 168 |
+
mask = ((x - center_x) ** 2 + (y - center_y) ** 2) < (min(width, height) // 4) ** 2
|
| 169 |
+
attention_map[mask] += 1.0
|
| 170 |
+
|
| 171 |
+
# Normalize
|
| 172 |
+
if attention_map.max() > 0:
|
| 173 |
+
attention_map = attention_map / attention_map.max()
|
| 174 |
+
|
| 175 |
+
return attention_map
|
| 176 |
+
|
| 177 |
+
def initialize_paths_from_attention(self, attention_map, num_paths, width, height):
|
| 178 |
+
"""Initialize SVG paths based on attention maps"""
|
| 179 |
+
paths = []
|
| 180 |
|
| 181 |
+
# Find high attention regions
|
| 182 |
+
threshold = 0.3
|
| 183 |
+
high_attention = attention_map > threshold
|
| 184 |
|
| 185 |
+
if not np.any(high_attention):
|
| 186 |
+
# Fallback: create random paths
|
| 187 |
+
return self.create_random_paths(num_paths, width, height)
|
| 188 |
|
| 189 |
+
# Get coordinates of high attention regions
|
| 190 |
+
y_coords, x_coords = np.where(high_attention)
|
| 191 |
+
|
| 192 |
+
for i in range(num_paths):
|
| 193 |
+
if len(x_coords) > 0:
|
| 194 |
+
# Sample random points from high attention regions
|
| 195 |
+
idx = np.random.choice(len(x_coords), size=min(4, len(x_coords)), replace=False)
|
| 196 |
+
path_points = [(x_coords[j], y_coords[j]) for j in idx]
|
| 197 |
+
|
| 198 |
+
# Sort points to create a reasonable path
|
| 199 |
+
path_points.sort(key=lambda p: p[0])
|
| 200 |
+
|
| 201 |
+
paths.append(path_points)
|
| 202 |
+
else:
|
| 203 |
+
# Fallback to random path
|
| 204 |
+
paths.append(self.create_single_random_path(width, height))
|
| 205 |
+
|
| 206 |
+
return paths
|
| 207 |
+
|
| 208 |
+
def create_random_paths(self, num_paths, width, height):
|
| 209 |
+
"""Create random paths as fallback"""
|
| 210 |
+
paths = []
|
| 211 |
+
for i in range(num_paths):
|
| 212 |
+
paths.append(self.create_single_random_path(width, height))
|
| 213 |
+
return paths
|
| 214 |
+
|
| 215 |
+
def create_single_random_path(self, width, height):
|
| 216 |
+
"""Create a single random path"""
|
| 217 |
+
num_points = random.randint(3, 6)
|
| 218 |
+
points = []
|
| 219 |
+
for _ in range(num_points):
|
| 220 |
+
x = random.randint(0, width)
|
| 221 |
+
y = random.randint(0, height)
|
| 222 |
+
points.append((x, y))
|
| 223 |
+
return points
|
| 224 |
|
| 225 |
+
def optimize_paths(self, paths, text_embeddings, num_iter, guidance_scale):
|
| 226 |
+
"""Simplified path optimization"""
|
| 227 |
+
# For now, just add some smoothing and variation
|
| 228 |
+
optimized_paths = []
|
|
|
|
| 229 |
|
| 230 |
+
for path in paths:
|
| 231 |
+
if len(path) < 2:
|
| 232 |
+
optimized_paths.append(path)
|
| 233 |
+
continue
|
| 234 |
+
|
| 235 |
+
# Add some smoothing
|
| 236 |
+
smoothed_path = []
|
| 237 |
+
for i in range(len(path)):
|
| 238 |
+
if i == 0 or i == len(path) - 1:
|
| 239 |
+
smoothed_path.append(path[i])
|
| 240 |
+
else:
|
| 241 |
+
# Simple smoothing
|
| 242 |
+
prev_x, prev_y = path[i-1]
|
| 243 |
+
curr_x, curr_y = path[i]
|
| 244 |
+
next_x, next_y = path[i+1]
|
| 245 |
+
|
| 246 |
+
smooth_x = (prev_x + curr_x + next_x) / 3
|
| 247 |
+
smooth_y = (prev_y + curr_y + next_y) / 3
|
| 248 |
+
|
| 249 |
+
smoothed_path.append((smooth_x, smooth_y))
|
| 250 |
+
|
| 251 |
+
optimized_paths.append(smoothed_path)
|
| 252 |
+
|
| 253 |
+
return optimized_paths
|
| 254 |
+
|
| 255 |
+
def create_svg_from_paths(self, paths, width, height):
|
| 256 |
+
"""Create SVG content from optimized paths"""
|
| 257 |
+
dwg = svgwrite.Drawing(size=(width, height))
|
| 258 |
+
|
| 259 |
+
# Add white background
|
| 260 |
+
dwg.add(dwg.rect(insert=(0, 0), size=(width, height), fill='white'))
|
| 261 |
+
|
| 262 |
+
# Add paths
|
| 263 |
+
for i, path in enumerate(paths):
|
| 264 |
+
if len(path) < 2:
|
| 265 |
+
continue
|
| 266 |
+
|
| 267 |
+
# Create path string
|
| 268 |
+
path_str = f"M {path[0][0]},{path[0][1]}"
|
| 269 |
+
for point in path[1:]:
|
| 270 |
+
path_str += f" L {point[0]},{point[1]}"
|
| 271 |
+
|
| 272 |
+
# Vary stroke properties
|
| 273 |
+
stroke_width = random.uniform(0.5, 3.0)
|
| 274 |
+
stroke_color = f"rgb({random.randint(0, 100)},{random.randint(0, 100)},{random.randint(0, 100)})"
|
| 275 |
+
|
| 276 |
+
dwg.add(dwg.path(
|
| 277 |
+
d=path_str,
|
| 278 |
+
stroke=stroke_color,
|
| 279 |
+
stroke_width=stroke_width,
|
| 280 |
+
fill='none',
|
| 281 |
+
stroke_linecap='round',
|
| 282 |
+
stroke_linejoin='round'
|
| 283 |
+
))
|
| 284 |
+
|
| 285 |
+
return dwg.tostring()
|
| 286 |
+
|
| 287 |
+
def create_fallback_svg(self, prompt, width=224, height=224):
|
| 288 |
+
"""Create a simple fallback SVG"""
|
| 289 |
+
dwg = svgwrite.Drawing(size=(width, height))
|
| 290 |
+
|
| 291 |
+
# Add white background
|
| 292 |
+
dwg.add(dwg.rect(insert=(0, 0), size=(width, height), fill='white'))
|
| 293 |
+
|
| 294 |
+
# Add simple sketch based on prompt
|
| 295 |
prompt_lower = prompt.lower()
|
| 296 |
|
| 297 |
+
if any(word in prompt_lower for word in ['mountain', 'landscape']):
|
| 298 |
+
self._add_mountain_sketch(dwg, width, height)
|
| 299 |
+
elif any(word in prompt_lower for word in ['house', 'building']):
|
| 300 |
+
self._add_house_sketch(dwg, width, height)
|
| 301 |
+
elif any(word in prompt_lower for word in ['flower', 'plant']):
|
| 302 |
+
self._add_flower_sketch(dwg, width, height)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 303 |
else:
|
| 304 |
+
self._add_abstract_sketch(dwg, width, height, prompt)
|
| 305 |
|
| 306 |
+
return dwg.tostring()
|
| 307 |
|
| 308 |
+
def _add_mountain_sketch(self, dwg, width, height):
|
| 309 |
+
"""Add mountain sketch to SVG"""
|
| 310 |
+
# Mountain outline
|
| 311 |
+
points = [(0, height*0.7)]
|
| 312 |
+
for x in range(0, width, 20):
|
| 313 |
+
y = height * 0.7 + 30 * math.sin(x * 0.02) + 15 * math.sin(x * 0.05)
|
| 314 |
+
points.append((x, y))
|
| 315 |
+
points.append((width, height))
|
| 316 |
+
points.append((0, height))
|
| 317 |
+
|
| 318 |
+
dwg.add(dwg.polygon(points, fill='lightgray', stroke='black', stroke_width=2))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 319 |
|
| 320 |
+
def _add_house_sketch(self, dwg, width, height):
|
| 321 |
+
"""Add house sketch to SVG"""
|
| 322 |
+
# House base
|
| 323 |
+
house_width = width * 0.6
|
| 324 |
+
house_height = height * 0.4
|
| 325 |
+
house_x = (width - house_width) / 2
|
| 326 |
+
house_y = height * 0.4
|
| 327 |
+
|
| 328 |
+
dwg.add(dwg.rect(
|
| 329 |
+
insert=(house_x, house_y),
|
| 330 |
+
size=(house_width, house_height),
|
| 331 |
+
fill='lightblue',
|
| 332 |
+
stroke='black',
|
| 333 |
+
stroke_width=2
|
| 334 |
+
))
|
| 335 |
+
|
| 336 |
# Roof
|
| 337 |
+
roof_points = [
|
| 338 |
+
(house_x, house_y),
|
| 339 |
+
(house_x + house_width/2, house_y - house_height*0.3),
|
| 340 |
+
(house_x + house_width, house_y)
|
| 341 |
+
]
|
| 342 |
+
dwg.add(dwg.polygon(roof_points, fill='red', stroke='black', stroke_width=2))
|
| 343 |
|
| 344 |
+
def _add_flower_sketch(self, dwg, width, height):
|
| 345 |
+
"""Add flower sketch to SVG"""
|
| 346 |
+
center_x, center_y = width/2, height/2
|
| 347 |
+
|
| 348 |
# Stem
|
| 349 |
+
dwg.add(dwg.line(
|
| 350 |
+
start=(center_x, center_y + 20),
|
| 351 |
+
end=(center_x, height - 20),
|
| 352 |
+
stroke='green',
|
| 353 |
+
stroke_width=4
|
| 354 |
+
))
|
| 355 |
+
|
| 356 |
# Petals
|
| 357 |
for angle in range(0, 360, 45):
|
| 358 |
+
x = center_x + 25 * math.cos(math.radians(angle))
|
| 359 |
+
y = center_y + 25 * math.sin(math.radians(angle))
|
| 360 |
+
dwg.add(dwg.circle(
|
| 361 |
+
center=(x, y),
|
| 362 |
+
r=8,
|
| 363 |
+
fill='pink',
|
| 364 |
+
stroke='red',
|
| 365 |
+
stroke_width=1
|
| 366 |
+
))
|
| 367 |
+
|
| 368 |
# Center
|
| 369 |
+
dwg.add(dwg.circle(
|
| 370 |
+
center=(center_x, center_y),
|
| 371 |
+
r=8,
|
| 372 |
+
fill='yellow',
|
| 373 |
+
stroke='orange',
|
| 374 |
+
stroke_width=2
|
| 375 |
+
))
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 376 |
|
| 377 |
+
def _add_abstract_sketch(self, dwg, width, height, prompt):
|
| 378 |
+
"""Add abstract sketch to SVG"""
|
| 379 |
+
# Create flowing lines based on prompt hash
|
| 380 |
prompt_hash = hash(prompt) % 100
|
| 381 |
|
|
|
|
| 382 |
for i in range(8):
|
| 383 |
points = []
|
| 384 |
+
start_x = (i * 30 + prompt_hash) % (width - 40) + 20
|
| 385 |
+
start_y = (i * 25 + prompt_hash) % (height - 40) + 20
|
| 386 |
|
| 387 |
for j in range(4):
|
| 388 |
x = start_x + j * 25 + 15 * math.sin((i + j + prompt_hash) * 0.5)
|
| 389 |
y = start_y + j * 20 + 15 * math.cos((i + j + prompt_hash) * 0.3)
|
| 390 |
+
points.append((max(0, min(width, x)), max(0, min(height, y))))
|
| 391 |
|
| 392 |
+
# Create path
|
| 393 |
+
if len(points) > 1:
|
| 394 |
+
path_str = f"M {points[0][0]},{points[0][1]}"
|
| 395 |
+
for point in points[1:]:
|
| 396 |
+
path_str += f" L {point[0]},{point[1]}"
|
| 397 |
+
|
| 398 |
+
color_val = (i * 30) % 200 + 50
|
| 399 |
+
dwg.add(dwg.path(
|
| 400 |
+
d=path_str,
|
| 401 |
+
stroke=f"rgb({color_val},{color_val//2},{color_val//3})",
|
| 402 |
+
stroke_width=2,
|
| 403 |
+
fill='none',
|
| 404 |
+
stroke_linecap='round'
|
| 405 |
+
))
|