Wan 2.7 Text-to-Image-Pro
Alibaba WAN 2.7 Text-to-Image Pro generates high-quality images up to 4K from text prompts with thinking mode for enhanced image quality.
作例

two young people eating dessert together, close-up shot, wide angle lens, exaggerated perspective, sitting at an outdoor table, feeding each other with spoons, playful expressions, summer vibe, bright sunlight, pastel umbrellas above, blue sky, casual candid moment, lifestyle photography, vibrant colors, high contrast, natural skin texture, modern editorial style, high detail
このプロンプトを試す →![Wan 2.7 Text-to-Image-Pro: Lookbook photo of a model wearing a [dark leather bomber jacket], minimalist studio, soft side light, confiden](/examples/alibaba-wan-2.7-text-to-image-pro/2.webp)
Lookbook photo of a model wearing a [dark leather bomber jacket], minimalist studio, soft side light, confident pose, magazine cover aesthetic, clean backdrop, subtle film grain, high fashion. With a "Fashion Magazine" book name in art word style at the bottom
このプロンプトを試す →![Wan 2.7 Text-to-Image-Pro: [High-end Wireless Headphones], centered on pure white background, studio high-key lighting, crisp hard shadow](/examples/alibaba-wan-2.7-text-to-image-pro/3.webp)
[High-end Wireless Headphones], centered on pure white background, studio high-key lighting, crisp hard shadow, commercial packshot, 35mm perspective, ultra-sharp details, subtle floor reflection, dust-free, 8k, realistic product photography
このプロンプトを試す →
cinematic fashion editorial, blonde woman leaning on a glossy red car hood, reflection on surface, golden hour sunlight, dramatic shadows, retro american street, pharmacy sign in background, palm trees, shallow depth of field, high fashion styling, fur detail on shoulder, jewelry and sunglasses on car, confident expression, slightly parted lips, moody atmosphere, film photography look, rich contrast, warm tones, ultra realistic, 35mm lens, editorial photography, vogue style, sharp focus, highly detailed
このプロンプトを試す →仕様
似たモデル
すべてのモデル →料金はレンダーごとで、レンダーが成功したときだけ残高から差し引かれます。失敗したレンダーは自動的に返金されます。作例はモデルにできることの一例で、実際の結果はプロンプトと設定によって変わります。