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Update app.py
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app.py
CHANGED
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@@ -3,11 +3,9 @@ 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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STYLES = {
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'pixel': {
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'prompt': 'Turn this image into the Pixel style.',
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@@ -84,21 +82,16 @@ STYLES = {
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}
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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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header, data = base64_data.split(',', 1)
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image_data = base64.b64decode(data)
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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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files=files, headers=headers)
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if response.status_code == 200:
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result = response.json()
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return f"https://jerrrycans-file.hf.space{result['url']}"
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@@ -106,46 +99,35 @@ def upload_base64_image(base64_data):
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print(f"Upload error: {e}")
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return None
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def get_style_config(style, custom_prompt=None, custom_lora_url=None):
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if style_config:
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# Style found: use its LoRA, but allow prompt to be overridden
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return {
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'prompt': custom_prompt or
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'lora_url': custom_lora_url or
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}
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else:
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return {
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'prompt': custom_prompt or style,
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'lora_url': custom_lora_url
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}
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def process_stream_response(response):
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"""Process streaming response from FAL API"""
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uploaded_images = []
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buffer = ''
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for chunk in response.iter_content(chunk_size=1024, decode_unicode=True):
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if chunk:
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buffer += chunk
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lines = buffer.split('\n')
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buffer = lines.pop()
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for line in lines:
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if line.startswith('data: ') and len(line) > 6:
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try:
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data_content = line[6:].strip()
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if not data_content:
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continue
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data = json.loads(data_content)
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if (data.get('json', {}).get('type') in ['progress', 'completed'] and
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data.get('json', {}).get('data', {}).get('images')):
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for image in data['json']['data']['images']:
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if image.get('url', '').startswith('data:image/'):
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uploaded_url = upload_base64_image(image['url'])
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@@ -153,51 +135,38 @@ def process_stream_response(response):
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uploaded_images.append(uploaded_url)
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except:
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continue
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return uploaded_images
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@app.route('/api/transform', methods=['POST'])
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def transform_image():
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try:
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data = request.get_json()
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if not data:
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return jsonify({'success': False, 'error': 'No JSON data provided'}), 400
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image_url = data.get('image_url')
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style = data.get('style')
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custom_prompt = data.get('custom_prompt')
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custom_lora_url = data.get('lora_url')
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if not style:
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return jsonify({'success': False, 'error': 'style is required'}), 400
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if not image_url.startswith(('http://', 'https://')):
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return jsonify({'success': False, 'error': 'Invalid image URL'}), 400
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style_config = get_style_config(style, custom_prompt, custom_lora_url)
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generate_params = {
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'json': {
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'imageUrl': image_url,
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'prompt': style_config['prompt']
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}
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}
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if style_config['lora_url']:
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generate_params['json']['loraUrl'] = style_config['lora_url']
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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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response = requests.get(generate_url, stream=True)
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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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uploaded_images = process_stream_response(response)
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return jsonify({
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'success': True,
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'originalImage': image_url,
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@@ -206,7 +175,6 @@ def transform_image():
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'generatedImages': uploaded_images,
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'count': len(uploaded_images)
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})
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except Exception as e:
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return jsonify({'success': False, 'error': str(e)}), 500
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@@ -215,7 +183,7 @@ def index():
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return jsonify({
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'message': 'Image Style Transfer API',
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'usage': 'POST /api/transform with JSON body: {"image_url": "...", "style": "...", "custom_prompt": "(optional)", "lora_url": "(optional)"}',
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'note': 'If "custom_prompt" is provided, it
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'styles': list(STYLES.keys())
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})
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import base64
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import io
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import json
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app = Flask(__name__)
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STYLES = {
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'pixel': {
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'prompt': 'Turn this image into the Pixel style.',
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}
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def upload_base64_image(base64_data):
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try:
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header, data = base64_data.split(',', 1)
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image_data = base64.b64decode(data)
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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', files=files, headers=headers)
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if response.status_code == 200:
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result = response.json()
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return f"https://jerrrycans-file.hf.space{result['url']}"
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print(f"Upload error: {e}")
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return None
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def get_style_config(style=None, custom_prompt=None, custom_lora_url=None):
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if style and style.lower() in STYLES:
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sc = STYLES[style.lower()]
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return {
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'prompt': custom_prompt or sc['prompt'],
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'lora_url': custom_lora_url or sc['lora_url']
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}
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elif custom_prompt:
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return {'prompt': custom_prompt, 'lora_url': custom_lora_url}
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else:
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return None
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def process_stream_response(response):
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uploaded_images = []
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buffer = ''
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for chunk in response.iter_content(chunk_size=1024, decode_unicode=True):
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if chunk:
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buffer += chunk
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lines = buffer.split('\n')
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buffer = lines.pop()
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for line in lines:
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if line.startswith('data: ') and len(line) > 6:
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try:
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data_content = line[6:].strip()
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if not data_content:
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continue
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data = json.loads(data_content)
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if (data.get('json', {}).get('type') in ['progress', 'completed'] and
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data.get('json', {}).get('data', {}).get('images')):
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for image in data['json']['data']['images']:
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if image.get('url', '').startswith('data:image/'):
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uploaded_url = upload_base64_image(image['url'])
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uploaded_images.append(uploaded_url)
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except:
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continue
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return uploaded_images
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@app.route('/api/transform', methods=['POST'])
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def transform_image():
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try:
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data = request.get_json()
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if not data:
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return jsonify({'success': False, 'error': 'No JSON data provided'}), 400
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image_url = data.get('image_url')
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style = data.get('style')
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custom_prompt = data.get('custom_prompt')
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custom_lora_url = data.get('lora_url')
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if not image_url or not image_url.startswith(('http://', 'https://')):
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return jsonify({'success': False, 'error': 'Valid image_url is required'}), 400
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if not (style or custom_prompt):
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return jsonify({'success': False, 'error': 'Either style or custom_prompt is required'}), 400
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style_config = get_style_config(style, custom_prompt, custom_lora_url)
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if not style_config or not style_config.get('prompt'):
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return jsonify({'success': False, 'error': 'Valid style or custom_prompt required'}), 400
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generate_params = {
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'json': {
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'imageUrl': image_url,
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'prompt': style_config['prompt']
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}
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}
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if style_config.get('lora_url'):
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generate_params['json']['loraUrl'] = style_config['lora_url']
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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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response = requests.get(generate_url, stream=True)
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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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uploaded_images = process_stream_response(response)
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return jsonify({
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'success': True,
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'originalImage': image_url,
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'generatedImages': uploaded_images,
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'count': len(uploaded_images)
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})
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except Exception as e:
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return jsonify({'success': False, 'error': str(e)}), 500
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return jsonify({
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'message': 'Image Style Transfer API',
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'usage': 'POST /api/transform with JSON body: {"image_url": "...", "style": "...", "custom_prompt": "(optional)", "lora_url": "(optional)"}',
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'note': 'Either "style" or "custom_prompt" must be provided. If "custom_prompt" is provided, it overrides the default prompt for a known "style"; if only "custom_prompt" is given, style can be omitted.',
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'styles': list(STYLES.keys())
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})
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