self.storage = self._init_storage()
The platform also offers additional features, including samplers, allowing users to fine-tune the quality and detail levels of their creations. Customization options and prompt guidance further enhance the user experience, providing a user-friendly interface for both novice and experienced creators.
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memory.buffer, messageStartIndex, messageLength);
让我们详细了解一下模型准备流程——从微调到最终生成可在设备端运行的格式。理解这一点至关重要，因为 Google 最初只发布了 PyTorch 格式的 FunctionGemma 模型，而移动端部署需要进行格式转换。