Unlocking Tencent Hunyuan Text‑to‑Image: A Complete Guide and Prompt Tips

1. Introduction to Tencent Hunyuan Text‑to‑Image

In the morning, Tencent Hunyuan’s large model received a major upgrade and officially opened the "text‑to‑image" feature. The upgraded Chinese language performance surpasses GPT‑3.5, and code capabilities have improved by 20%, reaching industry‑leading levels.

Compared with other large models, Hunyuan excels in realistic portrait and scene generation, as well as Chinese landscape, anime, and game‑style images. It also delivers impressive results on the traditionally difficult task of human face generation.

The model is already used in material creation, product synthesis, game graphics, and has achieved high case‑excellent and advertiser‑adoption rates (86% and 26%) in advertising evaluations, outperforming peer models.

2. Technical Innovations

The main challenges of text‑to‑image generation are semantic understanding of prompts, content plausibility, and image quality. Tencent addressed these with original algorithms:

Semantic Understanding: A bilingual fine‑grained model simultaneously processes Chinese and English without translation, improving detail perception and generation quality.

Content Plausibility: Enhanced spatial perception and incorporation of human skeletal and hand priors reduce deformation of bodies and hands.

Image Quality: Multi‑model fusion boosts detail fidelity, increasing portrait detail quality by 30% and scene detail quality by 25%.

3. Prompt Usage Tips

1. To generate realistic photos, use phrases like "generate a photo of XX" and add descriptors such as "realistic" or "photographic style". Avoid using "draw a painting of XX" which triggers artistic styles.

2. For specific styles, include style descriptors in the prompt (e.g., oil painting, cyberpunk, watercolor, pixel art, anime, children’s illustration). If no style is specified, the model randomly selects a common style.

3. Provide detailed descriptions and iterate prompts, e.g., "generate a photo: Asian woman, charming, long hair, sunglasses, standing on the Great Wall with red leaves".

4. Try It Out – Example Prompts and Results

Realistic Portraits

Prompt: "Generate a cute 4‑year‑old Asian girl wearing a cotton dress, big eyes, ancient Chinese setting, photographic style, hanfu"

Prompt: "Asian male student at a high‑speed rail station, casual clothing, backpack, waiting, photographic style"

Realistic Scenes (Human & Landscape)

Prompt: "A modern CBD office building, glass façade, close‑up, photographic style"

Prompt: "Japanese hotel exterior, traditional roof, cherry blossoms, distant view, photographic style"

2D Anime Characters

Prompt: "2D modern anime, girl in black long dress, black bow hair accessory, close‑up"

Prompt: "Cartoon girl with black curly hair, glasses, tulip elements, Disney anime style"

3D/CG Portraits and Scenes

Prompt: "CG portrait of a white‑silver‑haired girl wearing earrings, looking forward"

Prompt: "3D sci‑fi mech warrior in black armor emitting blue light, standing in a ruined city"

Prompt: "Snowy battlefield, white blizzard, harsh cold"

5. Easter Egg – Poetry & Classic Themes

Prompt examples include generating water‑ink style images for classic Chinese poems such as "Empty mountains after rain, autumn evening" and "Light boat crossing ten thousand mountains".

6. Recent Model Improvements

In the past month, Hunyuan’s code and math abilities have increased dramatically. After training on 32 mainstream programming languages and extensive literature, code handling performance rose over 20%, surpassing ChatGPT by 6.34% on HumanEval and outperforming leading open‑source models.

Simple commands like "help me implement a snake game in front‑end language" now generate runnable code instantly. The model also supports Python, C++, Java, JavaScript, etc., providing step‑by‑step guidance for tasks such as drawing a red heart shape.

Internally, many Tencent development platforms integrate Hunyuan for code generation, completion, vulnerability detection, data processing, and database queries. IDE tools like Tencent GongFeng Copilot leverage the model for context‑aware code suggestions, boosting developer productivity and security.

The underlying training infrastructure relies on Tencent’s self‑developed Angel platform, with AngelPTM and AngelHCF frameworks delivering superior memory utilization, training throughput, and inference speed compared to mainstream frameworks.

Over 180 Tencent services—including Tencent Meeting, Docs, WeChat Work, and Advertising—have adopted Hunyuan, and external customers across retail, education, finance, healthcare, media, transportation, and government sectors are also using the model.