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Hunyuan Image 3
HunyuanImage-3.0 multimodal text-to-image with top-tier quality and strong prompt adherence. Supports multiple sizes, seed, and JPEG/PNG output.
Input
Output
Generated content will appear here
Example Results
Text-to-Image:
A teenage girl on a rooftop at sunset, ultra realistic details
Text-to-Image:
A professional young woman walks down a street in New York, wearing a well-tailored grey wool blazer over a white silk camisole with matching wide-leg trousers. She is wearing delicate gold earrings and carrying a black leather tote bag. Her expression is confident, with a blurred city scene in the background.
Text-to-Image:
An old wizard with a long white beard, wearing a classic pointed wizard hat, sits comfortably in a wooden chair on top of his stone wizard tower. He leisurely smokes a pipe, with magical smoke swirling in the air around him, creating faint glowing shapes. The tower's top is high above the clouds, and a vast sky stretches out in the background, giving the scene a tranquil, isolated vibe. At the top of the image, large whimsical text reads: "I'm done procrastinating!" Further down, near the bottom-middle of the image, text in a similar whimsical style reads: "I'm straight up not working anymore!" The text is a key focal point, blending humorously into the laid-back, magical atmosphere. aidmaMJ6.1, hkmagic.
Frequently Asked Questions
- What is Hunyuan Image 3?
- A state-of-the-art text-to-image model with strong multimodal understanding and premium image quality.
- Which sizes are supported?
- From 256×256 up to 1536×1536 depending on provider limits.
- How do I get consistent results?
- Use a fixed seed. The same prompt + seed will yield similar images.
- What image format should I choose?
- JPEG for smaller files, PNG for lossless quality and transparency workflows.
- What makes it different from DiT-based models?
- It uses a unified autoregressive architecture that jointly models text and image, improving contextual coherence, reasoning, and prompt adherence.
- How large is the model?
- It's a Mixture-of-Experts (MoE) with 64 experts and ~80B parameters in total, with ~13B parameters activated per token.
- How strong is prompt adherence?
- It demonstrates excellent semantic and compositional alignment in evaluations (e.g., SSAE and human GSB), delivering faithful results across diverse prompts.
- Does it auto-expand sparse prompts?
- Yes, the model leverages world knowledge to elaborate on minimal prompts. Tip: keep prompts concise and avoid contradictory instructions to steer expansion.
- Any prompt writing tips?
- Use subject + attributes + scene + lighting + camera/style cues. Add negative cues if needed. Avoid conflicting requirements and excessive style mixing.
- Does it support image-to-image or multi-turn?
- The open-source plan includes image-to-image and multi-turn interaction. This app currently exposes text-to-image parameters only.
- What about license and usage?
- HunyuanImage-3.0 is released under the tencent-hunyuan-community license. Review the license terms before commercial use.
- How long does generation take?
- Provider-side runtime varies with load and size (256–1536). Typical runs complete in seconds to tens of seconds; larger sizes can take longer.
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