text-to-avatar 2025.12.21234918

Text-to-avatar generates visual UI attributes from natural language descriptions of avatars.

text_to_avatar

Convert text descriptions into structured UI avatar attributes with consistency and coherence.

Overview

text_to_avatar is a Python package that transforms natural language descriptions of avatars (e.g., "a friendly robot with blue eyes and a metallic body") into structured, consistent UI avatar attributes. It leverages an LLM to interpret input and outputs a standardized format containing elements like color, style, features, and accessories, ensuring visual coherence across different requests.

No complex 3D modeling tools or workflows are required—just a simple text input!

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🚀 Installation

pip install text_to_avatar

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🔧 Usage

Basic Usage (Default LLM: ChatLLM7)

from text_to_avatar import text_to_avatar

response = text_to_avatar(user_input="a cute fox with red fur and a green scarf")
print(response)

Custom LLM Integration

You can replace the default ChatLLM7 with any LangChain-compatible LLM (e.g., OpenAI, Anthropic, Google Generative AI).

Example with OpenAI:

from langchain_openai import ChatOpenAI
from text_to_avatar import text_to_avatar

llm = ChatOpenAI()
response = text_to_avatar(user_input="a cyberpunk samurai with neon armor", llm=llm)
print(response)

Example with Anthropic:

from langchain_anthropic import ChatAnthropic
from text_to_avatar import text_to_avatar

llm = ChatAnthropic()
response = text_to_avatar(user_input="a mystical elf with glowing runes", llm=llm)
print(response)

Example with Google Generative AI:

from langchain_google_genai import ChatGoogleGenerativeAI
from text_to_avatar import text_to_avatar

llm = ChatGoogleGenerativeAI()
response = text_to_avatar(user_input="a futuristic astronaut in a silver suit", llm=llm)
print(response)

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🔑 API Key & Rate Limits

• Default LLM: Uses ChatLLM7 (from langchain_llm7).
• Free Tier: Sufficient for most use cases (check LLM7's rate limits).
• Custom API Key:
  • Set via environment variable:

    export LLM7_API_KEY="your_api_key_here"
    

  • Or pass directly:

    from text_to_avatar import text_to_avatar
    response = text_to_avatar(user_input="a dragon with fiery scales", api_key="your_api_key")
    

Get a free API key at LLM7 Token.

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📝 Input Parameters

Parameter	Type	Description
user_input	str	Text description of the desired avatar (e.g., "a friendly robot with blue eyes").
api_key	Optional[str]	LLM7 API key (if not provided, falls back to LLM7_API_KEY env var).
llm	Optional[BaseChatModel]	Custom LangChain LLM (e.g., ChatOpenAI, ChatAnthropic). Defaults to ChatLLM7.

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📌 Output Format

The function returns a structured list of avatar attributes (e.g., colors, styles, features) in a consistent format, ready for UI rendering.

Example output:

[
    {"color": "blue", "type": "eyes"},
    {"style": "metallic", "type": "body"},
    {"accessory": "helmet", "material": "chrome"}
]

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🔄 Customization

• Modify the regex pattern in .prompts.py to adjust output structure.
• Extend the system prompt for advanced use cases.

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📜 License

MIT License (see LICENSE).

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📢 Support & Issues

Report bugs or request features at: 🔗 GitHub Issues

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👤 Author

• Eugene Evstafev (@chigwell)
• Email: [e-mail]