Alibaba WAN 2.5: text-to-image with good realism and control.
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.
WAN 2.5 Text to Image on Pixio is Alibaba's text-to-image model with good realism and control. Use it for photoreal and stylized scenes when you want WAN quality with reliable prompt following and balanced speed and cost.
WAN 2.5 Text to Image on Pixio is Alibaba's text-to-image model with good realism and control. Use it for photoreal and stylized scenes when you want WAN quality with reliable prompt following and balanced speed and cost.
| Mode | Input | Best for |
|---|---|---|
| Text to Image | Prompt only | Scenes, characters, products from a single prompt |
| Option | Values | Notes |
|---|---|---|
| Aspect ratio | 1:1, 16:9, 9:16 (check Pixio) | Match deliverable |
| 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]. One clear concept per prompt; be specific about pose, setting, and mood.
"Portrait of a woman in a red coat walking through a snowy street. Street lamps, snowflakes. Cinematic, photoreal, shallow depth of field."
"A modern living room with large plants and natural light. Minimalist furniture, wooden floor. Calm, Scandinavian style, high detail."
"Dragon soaring above mountain peaks at sunset. Epic scale, clouds and rays. Fantasy art, dramatic lighting."
"Flat lay of breakfast: croissant, coffee, orange juice on a marble table. Morning light from the left. Fresh, appetizing, commercial."
| Scenario | Best choice |
|---|---|
| WAN text-to-image, balanced quality/cost | WAN 2.5 Text to Image |
| Newest WAN text-to-image | WAN 2.6 Text to Image |
| WAN image-to-image | WAN 2.6 Image to Image |
| Flux / Google | Flux Pro, Imagen 4 |
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.
WAN 2.5 Text to Image 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.
