Tencent Hunyuan: strong text-to-image with good composition and detail.
The best image results come from specific composition, style, and lighting language. Be explicit about what should be in frame and what should feel dominant.
Best results start with a precise subject, composition, and style direction.
Hunyuan Image V3 on Pixio is Tencent's flagship text-to-image model with strong composition, detail, and prompt following. It supports generation, editing, and reference-based consistency for photoreal and stylized outputs. Use it when you need high-quality Chinese-friendly prompting, complex scenes, or consistent character and style control.
Hunyuan Image V3 on Pixio is Tencent's flagship text-to-image model with strong composition, detail, and prompt following. It supports generation, editing, and reference-based consistency for photoreal and stylized outputs. Use it when you need high-quality Chinese-friendly prompting, complex scenes, or consistent character and style control.
| Mode | Input | Best for |
|---|---|---|
| Text to Image | Prompt only | Scenes, characters, products from a single prompt |
| Edit | Image + prompt | Style or content changes while preserving structure |
| Reference | Reference image(s) + prompt | Consistent character, style, or object across generations |
| Option | Values | Notes |
|---|---|---|
| Aspect ratio | 1:1, 16:9, 9:16 (check Pixio) | Match deliverable |
| Reference strength | Low–High (if reference mode) | How closely to follow reference |
| Credits | Plan-based | Check model card in Pixio |
Credits are plan-based; check the model card in Pixio for your plan and cost per image.
[Subject] + [Composition] + [Lighting] + [Style]. Be specific about pose, setting, and mood. For reference mode, describe the new scene; the reference defines identity or style.
"Portrait of a young woman in a traditional hanfu, standing in a misty bamboo forest at dawn. Soft diffused light, shallow depth of field. Ethereal, cinematic, 8K."
"A futuristic cityscape at night with flying vehicles and neon skyscrapers. Wide angle, reflections on wet streets. Cyberpunk, highly detailed, dramatic lighting."
"Still life of tea set on wooden table with cherry blossoms. Soft window light, warm tones. Serene, Japanese aesthetic, photoreal."
"Same character from reference, now sitting in a café with a book. Natural lighting, cozy interior. Coherent style and identity."
| Scenario | Best choice |
|---|---|
| Tencent Hunyuan quality, generation + edit + reference | Hunyuan Image V3 |
| Flux family (text-to-image, LoRA) | Flux Dev, Flux Pro |
| Google text-to-image | Imagen 4 |
| ByteDance creative/stylized | Dreamina v3.1, Seedream |
Tell the model what should dominate the frame first.
Use lighting language early; it changes everything downstream.
When editing, describe what stays, not just what changes.
References help when continuity matters more than novelty.
A strong image prompt defines the subject, composition, lighting, and finish instead of leaving them implied.
Use precise visual language to control subject, composition, lighting, and style from the start.
Preserve the useful parts of the image while steering the rest with masks, references, or prompt edits.
Bring in reference images or LoRAs when consistency is more important than exploration.
Hunyuan Image V3 is strongest when the visual brief is specific about framing, style, and what should read first.
Use it for campaign images, product shots, subject consistency, or polished concept work.
When editing, say exactly what changes and what must remain untouched.
Lock the subject, composition, and lighting direction before you chase style nuance.
Use references or edits when the same subject, style, or layout has to survive across versions.
Once the frame works, refine only the weak areas instead of rewriting the whole composition.
Finish strong compositions by scaling them without rebuilding the frame from scratch.
Use editing tools after the initial generation when the composition is right but the details still need polish.
