Transform images with WAN 2.6 (style or content changes).
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 2.6 Image to Image on Pixio is Alibaba's image-to-image model for transforming existing images: style transfer, content changes, and creative variations while preserving structure. Use it when you have a source image and want to restyle it, change setting or mood, or generate variations with WAN 2.6 quality.
WAN 2.6 Image to Image on Pixio is Alibaba's image-to-image model for transforming existing images: style transfer, content changes, and creative variations while preserving structure. Use it when you have a source image and want to restyle it, change setting or mood, or generate variations with WAN 2.6 quality.
| Mode | Input | Best for |
|---|---|---|
| Image to Image | Source image + prompt | Style change, content change, or variation of the input |
| Option | Values | Notes |
|---|---|---|
| Strength / denoising | Low–High (check Pixio) | Lower = closer to source; higher = more change |
| Aspect ratio | Match input or override (check Pixio) | Preserve or change crop |
| 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.
[What to change or add] + [Style/mood] + [Lighting]. Describe the desired result (e.g. "convert to oil painting", "make it nighttime") and any style or lighting cues. The input image defines the starting structure.
"Transform this scene into a rainy night with neon signs and wet pavement. Cinematic, moody lighting, reflections. Keep the same composition and main subjects."
"Same character and pose, but in a cyberpunk city background with holographic ads. Blue and purple lighting. High detail, futuristic."
"Convert this sketch into a full digital painting. Fantasy art style, warm lighting, rich colors. Preserve the layout and poses."
"Turn this daytime landscape into golden hour with long shadows and warm tones. Photoreal, serene, same framing."
| Scenario | Best choice |
|---|---|
| Alibaba WAN image-to-image, style/content transform | WAN 2.6 Image to Image |
| WAN text-to-image from scratch | WAN 2.6 Text to Image, WAN 2.5 Text to Image |
| Flux image-to-image | Flux SRPO Image to Image, Flux Krea Image to Image |
| Inpainting (edit part of image) | SDXL Inpainting, Flux Dev Inpainting |
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 2.6 Image 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.
