This is a simplified guide to an AI model called qwen-3-tts/voice-design/1.7b maintained by fal-ai. If you like these kinds of analysis, join AIModels.fyi or follow us on Twitter. This is a simplified guide to an AI model called qwen-3-tts/voice-design/1.7b qwen-3-tts/voice-design/1.7b maintained by fal-ai fal-ai . If you like these kinds of analysis, join AIModels.fyi AIModels.fyi or follow us on Twitter Twitter . Model overview qwen-3-tts/voice-design/1.7b enables you to create custom voices using natural language descriptions. This voice design model from fal-ai integrates with the broader Qwen3-TTS ecosystem, which includes complementary approaches like voice cloning and alternative voice design implementations. The model supports 10 major languages including Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, and Italian, making it suitable for global applications. qwen-3-tts/voice-design/1.7b fal-ai voice cloning alternative voice design implementations Model inputs and outputs The model accepts text descriptions of desired voice characteristics and generates corresponding speech audio. You provide natural-language instructions describing the voice you want—whether specifying age, gender, tone, emotional expression, or other acoustic qualities—along with the text you wish to synthesize. The output is high-quality audio that matches both your text content and voice description. Inputs Text content to be synthesized into speechLanguage specification for the target contentVoice instruction describing desired voice characteristics in natural language Text content to be synthesized into speech Text content Language specification for the target content Language Voice instruction describing desired voice characteristics in natural language Voice instruction Outputs Audio waveform in WAV format at the specified sample rateSample rate information for the generated audio Audio waveform in WAV format at the specified sample rate Audio waveform Sample rate information for the generated audio Sample rate Capabilities The model translates descriptive instructions into acoustic characteristics. You can request specific speaker profiles—for example, "a confident teenage boy with a slightly deeper voice" or "an elderly woman with a warm, gentle tone"—and the model synthesizes speech matching those parameters. It handles nuanced instructions about emotional expression, speaking pace, and vocal timbre, adapting the synthesis to match your creative vision. What can I use it for? Character voice creation for games, animations, and interactive media represents a primary use case. Audiobook production benefits from designing consistent character voices without requiring voice actors. Marketing teams can generate multiple voice variations for testing advertisement effectiveness. Accessibility applications can provide personalized synthetic voices for users with speech impairments. The unified Qwen3-TTS platform offers additional voice modes beyond design, allowing you to combine voice design with voice cloning for maximum flexibility in your projects. The unified Qwen3-TTS platform Things to try Design voices for different story roles and compare them to understand how instruction details affect the final output. Create a designed voice, then feed that audio into a voice cloning workflow to establish a reusable speaker identity. Test the same instruction across different languages to explore how the model adapts acoustic qualities to linguistic constraints. Experiment with emotional descriptors to discover how specific words in your instructions influence prosody and tone.

The “Think in Pictures” Upgrade for Multimodal Models

Design a Voice With Words: Inside fal-ai’s qwen-3-tts/voice-design/1.7b

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