stable diffusion prompt 美女

### Stable Diffusion Prompt for Asian Beauty For generating images of an exceptionally beautiful Chinese girl with specific themes and styles: #### Lolita Fashion Outdoors To create an image featuring a teenage girl dressed in lolita fashion wearing a school uniform outdoors, the following prompt can be used: ```plaintext 1 super beautiful chinese girl, solo, teenage, upper body, lolita fashion, school uniform, outdoors [^1] ``` #### Snow Mountain Wedding Scene A full-body photograph capturing a stunning scene on a snow mountain where the model wears a super long wedding dress during dusk can be generated using this prompt: ```plaintext 1 super beautiful Chinese girl, snow mountain, super long wedding dress, Fuji color professional 400, dusk, photography, full body photo [^2] ``` #### Gothic Style Portrait from Below Creating a portrait that emphasizes gothic elements while shooting from below to highlight facial features requires these keywords: ```plaintext (asian girl:1.2), porcelain white skin, dark purple lips, perfect makeup, goth style [^3] ``` Additionally, incorporating advanced techniques such as ADetailer for face restoration ensures high-quality results. #### Hyperrealistic Macro Shot Elements Incorporating elements like dramatic lighting or ethereal atmospheres into any of the above prompts could enhance their visual impact further by adding depth and emotion: ```plaintext hyperrealistic macro shot, dramatic lighting, magnificent, celestial, ethereal, epic, magical, dreamy, chiaroscuro, atmospheric lighting [^4] ``` Combining aspects from each example allows customization based on desired artistic direction when creating stable diffusion models focused on portraying Asian beauty. --related questions-- 1. How do different settings affect the outcome quality in Stable Diffusion? 2. What are some best practices for optimizing prompts within Stable Diffusion? 3. Can you provide more examples of combining various stylistic elements in prompts? 4. Which parameters should one adjust to achieve better detail in portraits?

### 如何使用 Stable Diffusion 生成美女图像 要利用 Stable Diffusion 生成高质量的美女图像，可以从以下几个方面入手： #### 1. 安装与配置环境 首先需要完成 Stable Diffusion 的安装过程。可以通过官方文档或者教程来设置运行环境[^2]。通常情况下，推荐将工具部署在一个支持 GPU 加速的环境中以提高效率。 对于特定插件的支持，例如 GFPGAN 可用于修复人脸细节，应将其放置于指定路径 `stable-diffusion-webui/extensions/SadTalker/gfpgan/weights` 和 `stable-diffusion-webui/models/GFPGAN` 中以便加载相应权重文件[^1]。 #### 2. 调整模型参数 为了获得更佳的结果，在生成过程中需合理调节各项参数。例如，“人物美感”权重可被提升以增强美女形象的表现力；同时优化“光线效果”，使其贴合目标氛围——如柔和自然光或戏剧化光影对比均能显著影响最终视觉体验[^4]。“色彩平衡”亦不可忽视，恰当设定能够确保皮肤色调既健康又吸引眼球。 此外，选用适合当前任务需求的大规模预训练模型至关重要。当追求极致真实性时，建议尝试切换至具备更高分辨率处理能力以及更强泛化性能的新版主干网络架构，并辅之以专门设计用来增加照片级细腻程度的小型LoRA模块进一步完善成果质量[^5]。 #### 3. 输入提示词 (Prompt Engineering) 精确而富有创意的文字描述会极大促进理想画面呈现的可能性。试着围绕主题构建详尽具体的语句结构，像这样：“一位拥有精致五官特征且气质优雅迷人的年轻女性正微笑看向镜头前，她身着淡雅服饰置身春日花园场景之中。” 这样的表述有助于引导算法更好地理解创作意图并据此生成符合预期的作品。 以下是基于 Python 实现的一个简单脚本例子展示如何通过命令行界面调用 API 接口执行图片渲染操作: ```python from diffusers import StableDiffusionPipeline, EulerAncestralDiscreteScheduler import torch model_id = "stabilityai/stable-diffusion-2" scheduler = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler") pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, revision="fp16", torch_dtype=torch.float16) prompt = "a beautiful woman with delicate facial features and elegant demeanor smiling at the camera in a spring garden setting." image = pipe(prompt).images[0] image.save("output_image.png") ``` 此代码片段展示了基本的工作流程，包括初始化管道对象、定义输入字符串变量以及保存输出图形文件等功能实现方式。 ---