What problem does it solve?
Using Wanxiang/Bailian image generation tools without provider-specific guidance leads to inconsistent outputs, off-brand visuals, common artifacts like distorted logos or extra limbs, and wasted generation costs due to repeated retries from poorly structured prompts and incorrect parameter settings.
Core Features & Use Cases
- Provider-Specific Prompt Templates: Structured prompt frameworks tailored to Wanxiang image models to avoid generic, low-quality outputs and ensure visual alignment with production briefs.
- Negative Prompt & Parameter Optimization: Clear guidance for using negative_prompt, selecting the appropriate model variant (e.g., wan2.7-image-pro for high-quality outputs, turbo variants for drafts), and choosing supported sizes to reduce predictable artifacts.
- Editing & Reference Image Workflows: Step-by-step instructions for natural-language image editing and multi-image reference usage to preserve product geometry, character identity, and style consistency across production sets.
- Use Case: A video production team creating product visuals for a tech launch can use this skill to generate product shots that exactly match physical device geometry, preserve logo placement, and avoid text artifacts, eliminating hours of manual prompt tweaking and retries.
Quick Start
Use the wanx-best-practices skill to generate a product shot of a wireless earbud on a minimalist white surface in a flat illustration style with no distorted logos or extra objects.
