Moving beyond just black and white towards full-colour variable palettes presents another set of problems. Taking the methods presented above and quantising an image using an arbitrary colour palette reveals that error-diffusion is also better at preserving colour information when compared to ordered dithering.
以往模型在镜头切换后，角色“换脸”或服装细节改变的问题屡见不鲜。Seedance 2.0通过允许用户上传角色的多角度参考图（如正面、侧面、四分之三脸），在模型内部构建了一个更稳定的3D几何表征。
，更多细节参见safew官方版本下载
Freed: 126.9 MB (pkgcache branches: 0)
Building the image is done with podman (or docker if you prefer).