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项目规划:Stable Diffusion提示词助手
项目简介
本项目旨在为用户生成高质量的Stable Diffusion提示词。用户输入自然语言描述,通过大模型转换为适合Stable Diffusion的提示词,并使用XTuner对模型进行微调,以提升生成效果。主要功能包括:
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- 自然语言到提示词转换:利用书生大模型将用户输入的自然语言转换为Stable Diffusion的提示词。
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- 模型微调:使用XTuner工具对模型进行LoRA、QLoRA或全量参数微调,提升生成效果。
项目功能
任务输入
- 用户输入自然语言描述。
- 系统生成提示词。
自然语言处理
- 使用书生大模型将自然语言转换为Stable Diffusion提示词。
模型微调
- 使用XTuner工具进行LoRA、QLoRA或全量参数微调,让模型学习更多的提示词示例,以便更好地生成提示词。
后续更新方向
- 生成图片:将生成的提示词结合Stable Diffusion WebUI API,实现自然语言直接生成符合要求的图片。
- 个性化优化建议:根据用户的使用习惯和历史数据,提供个性化的提示词优化建议。
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