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Wanxiang/Bailian image generation guidance for WanxImage prompts, negative_prompt usage, styles, sizes, editing, and multi-image references.
Passed 20 of 22 test cases with the skill, and 14 of 22 without it.
and 4 more in the full report
6 fixed14 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
What dimension string format should be passed to WanxImage when generating a vertical portrait image for a mobile application story advertisement?
| Checked | Without skill | With skill |
|---|---|---|
| Formats the vertical dimension parameter as 1080*1920. | Missed | Passed |
The instructions your model reads when the skill loads.
Use this skill before calling Video Production Buddy WanxImage, the Bailian/Wanxiang
image tool. This guidance is provider-specific to Wanxiang image models and
must not be replaced with FLUX-only rules.
wan2.7-image-pro, turbo variants, or other
Wanxiang image models exposed by WanxImage.Write direct, visual prompts:
[subject/product] + [scene/action] + [style] + [camera/framing] +
[lighting] + [color/material details] + [composition constraints]
For physical products, anchor exact geometry and visible brand details in the positive prompt, then use a reference image when product fidelity matters. Text-only prompts are not enough for recognizable hardware, packaging, logos, or UI.
Wanxiang supports negative_prompt; use it when the scene has clear failure
modes. Keep it concise and specific.
Good negative_prompt examples:
extra fingers, distorted logo, wrong product shape, unreadable text,
low resolution, watermark, duplicate object, melted edges
test cases passed, vs 14 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.