Death Stranding is a game by Hideo Kojima that portrays a post-catastrophe world where everything is broken and empty, forcing people to find new ways to connect and support one another. The game reminds us how important it is to stick together, even when everything seems lost.
The atmosphere is filled with a quiet sadness mixed with a glimmer of hope. Desert roads, abandoned cities, and endless landscapes create a sense of isolation, yet every scene carries a deep longing for the warmth of human connection and life.
The image generation model based on the game's visuals captures this mood perfectly. It allows you to create pictures that tell their own story of struggle, melancholy, and gentle hope, making the familiar game world feel even more vivid and emotionally engaging.
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From the sample images, I really don't understand why the new version of SDXL, seems too worse results compared to the version based on Base SDv2.1. In theory, both versions were trained using the same dataset, and SDXL is supposed to support image generation at the 1024 level. It shouldn't be like this. Is it possible that the training tool for SDXL is not mature enough for game-related images?
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