Multilingual Text in Images with Z Image API
Master multilingual image generation. Support for English, Chinese, and 30+ languages with proper text rendering.
Multilingual Support Overview
Z Image API natively supports multilingual prompts and can understand and generate images with elements from multiple languages. This is crucial for international applications.
Supported Languages
- ????English
- ????Chinese (Simplified & Traditional)
- ????Japanese
- ????Korean
- ????Spanish
- ????French
- ????German
- ??And more...
Basic Usage
Simply write your prompt in your chosen language:
# English prompt
result = api.generate("A cute panda in bamboo forest")
# Chinese prompt
result = api.generate("һֻ�ɰ�����è��������")
# Japanese prompt
result = api.generate("���֤��ФΤ��襤���ѥ��")
# Mixed languages
result = api.generate("Modern office �ִ��칫�� with tech elements")
Building a Multilingual Generator
class MultilingualImageGenerator:
def __init__(self, api_key):
self.api = ZImageAPI(api_key)
self.templates = {
'en': "High quality commercial photography, {subject}, {style} style",
'zh': "��������ҵ��Ӱ��{subject}��{style}���",
'ja': "��Ʒ�|���̘Iд�桢{subject}��{style}��������",
'es': "Fotograf��a comercial de alta calidad, {subject}, estilo {style}"
}
def generate(self, subject, style, language='en'):
template = self.templates.get(language, self.templates['en'])
prompt = template.format(subject=subject, style=style)
return self.api.generate(prompt)
# Usage example
generator = MultilingualImageGenerator(api_key)
# Generate for different markets
generator.generate("coffee", "minimalist", language='en') # English market
generator.generate("����", "����", language='zh') # Chinese market
generator.generate("���`�ҩ`", "�ߥ˥ޥꥹ��", language='ja') # Japanese market
Language Detection
Automatically detect user input language:
from langdetect import detect
def smart_generate(user_input):
"""Smart multilingual generation"""
try:
language = detect(user_input)
print(f"Detected language: {language}")
# Adjust parameters based on language
if language in ['zh-cn', 'zh-tw']:
# Chinese optimization
result = api.generate(
user_input,
language_hint='chinese'
)
elif language == 'ja':
# Japanese optimization
result = api.generate(
user_input,
language_hint='japanese'
)
else:
result = api.generate(user_input)
return result
except Exception as e:
print(f"Language detection failed: {e}")
return api.generate(user_input)
Translation-Assisted Generation
Combine with translation APIs for seamless multilingual support:
from googletrans import Translator
class TranslatedImageGenerator:
def __init__(self, api_key):
self.api = ZImageAPI(api_key)
self.translator = Translator()
def generate_multilingual(self, prompt, target_languages):
"""Generate images for multiple language markets"""
results = {}
for lang in target_languages:
# Translate prompt
if lang != 'en':
translated = self.translator.translate(
prompt,
dest=lang
).text
else:
translated = prompt
# Generate image
result = self.api.generate(translated)
results[lang] = {
'prompt': translated,
'image': result
}
print(f"{lang}: {translated}")
return results
# Example
gen = TranslatedImageGenerator(api_key)
results = gen.generate_multilingual(
"Modern technology office",
target_languages=['en', 'ja', 'ko', 'es']
)
Cultural Adaptation
Different cultures have different visual preferences:
cultural_adaptations = {
'en': {
'colors': 'Blue and white, professional',
'style': 'Modern minimalist',
'symbols': 'Contemporary business elements'
},
'zh': {
'colors': 'Red and gold, festive',
'style': 'Traditional Chinese elements',
'symbols': 'Dragon, phoenix, auspicious clouds'
},
'ja': {
'colors': 'Cherry blossom pink and white',
'style': 'Japanese aesthetic design',
'symbols': 'Cherry blossoms, Mount Fuji, traditional patterns'
}
}
def culturally_adapted_generate(base_prompt, culture):
"""Generate culturally adapted images"""
adaptations = cultural_adaptations.get(culture, {})
enhanced_prompt = f"{base_prompt}, {adaptations.get('colors', '')}, "
enhanced_prompt += f"{adaptations.get('style', '')}, "
enhanced_prompt += f"featuring {adaptations.get('symbols', '')}"
return api.generate(enhanced_prompt)
?? Best Practices
- ? Use clear, concise language descriptions
- ? Avoid overly complex cultural-specific slang
- ? Provide context for keywords
- ? Test different language versions for effectiveness
Real-World Case Study
Success Story: International E-commerce Platform
A cross-border e-commerce platform used Z Image API's multilingual capabilities to generate localized product images for users in different regions. Conversion rates increased by 45%, and user satisfaction improved significantly.
Conclusion
Multilingual support is more than just translating text it's about cultural adaptation and user experience. Z Image API's powerful multilingual capabilities help you easily build global applications.
Start exploring the possibilities of multilingual image generation today!