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真人LORA训练全攻略!看这篇就够了 LORA模型 Stable diffusion 教程 真人模型
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真人LORA训练全攻略!看这篇就够了 LORA模型 Stable diffusion 教程 真人模型
账号没验证 发了不了链接,需要直接 微信公众号 硕硕看 ,里面也可以联系到我,youtube很少在线。 视频有两处出错 一个是下载插件是 kohya-additional networks 另一处是 插件运行哪里 我说用powershell运行 但是打标是打给了note文本 小伙伴留意一下
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1. LoRA là low-ranking-adaptation. Là một kĩ thuật trong finetuning AI model. 2. LoRA là kĩ thuật phổ biến nhất hiện nay trong các phương pháp tối ưu tham số (peft) của finetuning. 3. Điểm mạnh : - Không tinh chỉnh base model. - Rất nhẹ, chi phí tối ưu để huấn luyện. - Linh hoạt, dễ tháo lắp như dạng module. Ví dụ: Llama (13B) với 16 bits - cần 26 GB memory cho model’s weight. Khi áp dụng LoRA, thay vì train với 13B tham số - ta chỉ train với khoảng 3 triệu. Do số lượng tham số cần train ít hơn
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1. LoRA là low-ranking-adaptation. Là một kĩ thuật trong finetuning AI model. 2. LoRA là kĩ thuật phổ biến nhất hiện nay trong các phương pháp tối ưu tham số (peft) của finetuning. 3. Điểm mạnh : - Không tinh chỉnh base model. - Rất nhẹ, chi phí tối ưu để huấn luyện. - Linh hoạt, dễ tháo lắp như dạng module. Ví dụ: Llama (13B) với 16 bits - cần 26 GB memory cho model’s weight. Khi áp dụng LoRA, thay vì train với 13B tham số - ta chỉ train với khoảng 3 triệu. Do số lượng tham số cần train ít hơn
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