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Create app.py
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app.py
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| 1 |
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from flask import Flask, request, jsonify
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| 2 |
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import requests
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import base64
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import io
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import json
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from urllib.parse import unquote
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app = Flask(__name__)
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# Style configurations
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| 11 |
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STYLES = {
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| 12 |
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'pixel': {
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| 13 |
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'prompt': 'Turn this image into the Pixel style.',
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| 14 |
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'lora_url': 'https://huggingface.co/Owen777/Kontext-Style-Loras/resolve/main/Pixel_lora_weights.safetensors'
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| 15 |
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},
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| 16 |
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'snoopy': {
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| 17 |
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'prompt': 'Turn this image into the Snoopy style.',
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| 18 |
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'lora_url': 'https://huggingface.co/Owen777/Kontext-Style-Loras/resolve/main/Snoopy_lora_weights.safetensors'
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},
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| 20 |
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'jojo': {
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'prompt': 'Turn this image into the JoJo style.',
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'lora_url': 'https://huggingface.co/Owen777/Kontext-Style-Loras/resolve/main/Jojo_lora_weights.safetensors'
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},
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'clay': {
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'prompt': 'Turn this image into the Clay style.',
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'lora_url': 'https://huggingface.co/Owen777/Kontext-Style-Loras/resolve/main/Clay_Toy_lora_weights.safetensors'
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},
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'ghibli': {
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'prompt': 'Turn this image into the Ghibli style.',
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'lora_url': 'https://huggingface.co/Owen777/Kontext-Style-Loras/resolve/main/Ghibli_lora_weights.safetensors'
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},
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'american-cartoon': {
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'prompt': 'Turn this image into the American Cartoon style.',
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'lora_url': 'https://huggingface.co/Owen777/Kontext-Style-Loras/resolve/main/American_Cartoon_lora_weights.safetensors'
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},
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'lego': {
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'prompt': 'convert to lego style',
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'lora_url': 'https://huggingface.co/Owen777/Kontext-Style-Loras/resolve/main/LEGO_lora_weights.safetensors'
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| 39 |
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},
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| 40 |
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'broccoli-hair': {
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'prompt': 'Change hair to a broccoli haircut',
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'lora_url': 'https://huggingface.co/fal/Broccoli-Hair-Kontext-Dev-LoRA/resolve/main/broccoli-hair-kontext-dev-lora.safetensors'
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},
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'plushie': {
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| 45 |
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'prompt': 'Convert to plushie style',
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| 46 |
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'lora_url': 'https://huggingface.co/fal/Plushie-Kontext-Dev-LoRA/resolve/main/plushie-kontext-dev-lora.safetensors'
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},
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| 48 |
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'wojak': {
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'prompt': 'Convert to wojak style drawing',
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'lora_url': 'https://huggingface.co/fal/Wojak-Kontext-Dev-LoRA/resolve/main/wojak-kontext-dev-lora.safetensors'
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},
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'upscalecompression': {
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'prompt': 'fix the jpeg compression',
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'lora_url': 'https://huggingface.co/fofr/flux-kontext-dev-jpeg-compression-fix-lora/resolve/main/flux-kontext-dev-jpeg-compression-fix-lora.safetensors'
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},
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'fluffy': {
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'prompt': 'make this object fluffy',
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'lora_url': None
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},
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'glass': {
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'prompt': 'make the character/object look like it was made out of glass, black background',
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'lora_url': None
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},
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'simpsons': {
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'prompt': 'convert to Simpsons cartoon style',
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'lora_url': None
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},
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'anime': {
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'prompt': 'convert to anime art style with large eyes and stylized features',
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'lora_url': None
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}
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}
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| 74 |
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def upload_base64_image(base64_data):
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"""Upload base64 image to jerrrycans-file.hf.space"""
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try:
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# Convert base64 to bytes
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header, data = base64_data.split(',', 1)
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image_data = base64.b64decode(data)
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# Upload to jerrrycans
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files = {'file': ('generated_image.png', io.BytesIO(image_data), 'image/png')}
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headers = {
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'Origin': 'https://jerrrycans-file.hf.space',
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'Referer': 'https://jerrrycans-file.hf.space/',
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
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}
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response = requests.post('https://jerrrycans-file.hf.space/upload',
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| 90 |
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files=files, headers=headers)
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| 92 |
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if response.status_code == 200:
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| 93 |
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result = response.json()
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return f"https://jerrrycans-file.hf.space{result['url']}"
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| 95 |
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except Exception as e:
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| 96 |
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print(f"Upload error: {e}")
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return None
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| 98 |
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| 99 |
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def get_style_config(style, custom_lora_url=None):
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| 100 |
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"""Get style configuration"""
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| 101 |
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style_config = STYLES.get(style.lower())
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| 102 |
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| 103 |
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if style_config:
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| 104 |
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return {
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| 105 |
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'prompt': style_config['prompt'],
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| 106 |
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'lora_url': custom_lora_url or style_config['lora_url']
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| 107 |
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}
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| 108 |
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else:
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| 109 |
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# Custom prompt
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| 110 |
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return {
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| 111 |
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'prompt': style,
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| 112 |
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'lora_url': custom_lora_url
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| 113 |
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}
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| 114 |
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| 115 |
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def process_stream_response(response):
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| 116 |
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"""Process streaming response from FAL API"""
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| 117 |
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uploaded_images = []
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| 118 |
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buffer = ''
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| 119 |
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| 120 |
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for chunk in response.iter_content(chunk_size=1024, decode_unicode=True):
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| 121 |
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if chunk:
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| 122 |
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buffer += chunk
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| 123 |
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lines = buffer.split('\n')
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| 124 |
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buffer = lines.pop() # Keep incomplete line in buffer
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| 125 |
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| 126 |
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for line in lines:
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| 127 |
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if line.startswith('data: ') and len(line) > 6:
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| 128 |
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try:
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| 129 |
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data_content = line[6:].strip()
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| 130 |
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if not data_content:
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continue
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| 133 |
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data = json.loads(data_content)
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| 135 |
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# Check for progress or completed data with images
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| 136 |
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if (data.get('json', {}).get('type') in ['progress', 'completed'] and
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| 137 |
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data.get('json', {}).get('data', {}).get('images')):
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| 138 |
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| 139 |
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for image in data['json']['data']['images']:
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| 140 |
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if image.get('url', '').startswith('data:image/'):
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| 141 |
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uploaded_url = upload_base64_image(image['url'])
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| 142 |
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if uploaded_url:
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| 143 |
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uploaded_images.append(uploaded_url)
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| 144 |
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except:
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| 145 |
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continue
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| 146 |
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| 147 |
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return uploaded_images
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| 148 |
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| 149 |
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@app.route('/api/transform', methods=['POST'])
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| 150 |
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def transform_image():
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| 151 |
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try:
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| 152 |
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# Get JSON data from request
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| 153 |
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data = request.get_json()
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| 154 |
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| 155 |
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if not data:
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| 156 |
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return jsonify({'success': False, 'error': 'No JSON data provided'}), 400
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| 157 |
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| 158 |
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# Extract required fields
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| 159 |
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image_url = data.get('image_url')
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| 160 |
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style = data.get('style')
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| 161 |
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custom_lora_url = data.get('lora_url')
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| 162 |
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| 163 |
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# Validate required fields
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| 164 |
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if not image_url:
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| 165 |
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return jsonify({'success': False, 'error': 'image_url is required'}), 400
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| 166 |
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| 167 |
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if not style:
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| 168 |
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return jsonify({'success': False, 'error': 'style is required'}), 400
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| 169 |
+
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| 170 |
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# Validate image URL
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| 171 |
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if not image_url.startswith(('http://', 'https://')):
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| 172 |
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return jsonify({'success': False, 'error': 'Invalid image URL'}), 400
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| 173 |
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| 174 |
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# Get style configuration
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| 175 |
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style_config = get_style_config(style, custom_lora_url)
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| 176 |
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| 177 |
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# Prepare generation parameters
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| 178 |
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generate_params = {
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| 179 |
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'json': {
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| 180 |
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'imageUrl': image_url,
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| 181 |
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'prompt': style_config['prompt']
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| 182 |
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}
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| 183 |
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}
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| 184 |
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| 185 |
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if style_config['lora_url']:
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| 186 |
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generate_params['json']['loraUrl'] = style_config['lora_url']
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| 187 |
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| 188 |
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# Make request to FAL API
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| 189 |
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generate_url = f"https://fal-kontext-demo.vercel.app/api/trpc/generateImageStream?input={requests.utils.quote(json.dumps(generate_params))}"
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| 190 |
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| 191 |
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response = requests.get(generate_url, stream=True)
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| 192 |
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if response.status_code != 200:
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return jsonify({'success': False, 'error': 'Failed to generate styled image'}), 500
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| 194 |
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| 195 |
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# Process streaming response
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| 196 |
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uploaded_images = process_stream_response(response)
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| 197 |
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| 198 |
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return jsonify({
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| 199 |
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'success': True,
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| 200 |
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'originalImage': image_url,
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'style': style,
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| 202 |
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'generatedImages': uploaded_images,
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| 203 |
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'count': len(uploaded_images)
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| 204 |
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})
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except Exception as e:
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| 207 |
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return jsonify({'success': False, 'error': str(e)}), 500
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| 208 |
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| 209 |
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@app.route('/')
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| 210 |
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def index():
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| 211 |
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return jsonify({
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| 212 |
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'message': 'Image Style Transfer API',
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| 213 |
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'usage': 'POST /api/transform with JSON body: {"image_url": "...", "style": "...", "lora_url": "..."}',
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| 214 |
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'styles': list(STYLES.keys())
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})
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| 216 |
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| 217 |
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=7860, debug=True)
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