(sharp and clear photos)

Sharp but still natural upscale results, suitable for professional use (photography, catalogue, fashion, documentation). Model Details • Model type: Variant of Remacri, trained with a high-resolution photo dataset. • Scale: 4× (example: 512×512 → 2048×2048). • Characteristics: • Maintains realism while adding sharpness. • Colours and textures are more consistent compared to UltraSharp. • Not too "smooth" like RealESRGAN_x4plus, but also not too "crispy" like UltraSharp. • The result is balanced: sharp, clear, but still natural. ✨ Advantages • Face photos: Skin, eye, and hair details are clearer without looking artificial. • Product/fashion: Fabric textures, materials, and objects stand out more. • Architecture: Building lines, wall textures, and small details are sharper. • Catalog/commercial: Suitable for images that need to look professional and polished. ⚠️ Disadvantages • Less suitable for anime/artwork → results may look too "photo-realistic" and lose the original style. • Light oversharpening can occur on very small low-res images. • Not as strong as UltraSharp for game textures or line art.

更新日志： V3: 输入一张单个明确主体的图像，即可给出该主体旋转不同方位后的图像（九宫格图*1张） V2: 输入一张单个明确主体的图像（工作流自动扣除背景），不需其它参数，即可给出该主体旋转不同方位后的图像（*6张） V1: 输入一张单个明确主体的简单背景图像，和仰角/方位角（0.1±180.0），即可给出该主体旋转指定方位后的图像（1张） Update log: V3: Input an image of a single clear subject, and you can get the image of the subject after rotating to different positions (nine-grid image * 1 picture) V2: Input an image of a single clear subject (the workflow automatically deducts the background), and you can get the image of the subject after rotating to different positions without other parameters (*6 pictures) V1: Input a simple background image of a single clear subject, and the elevation/azimuth angle (0.1±180.0), and you can get the image of the subject after rotating to a specified position (1 picture)