sdxl_prompt2prompt_mapper¶
Generates pairs of similar images using the SDXL model.
This operator uses a Hugging Face diffusion model to generate image pairs based on two text prompts. The quality and similarity of the generated images are controlled by parameters such as num_inference_steps and guidance_scale. The first and second text prompts are specified using text_key and text_key_second, respectively. The generated images are saved in the specified output_dir with unique filenames. The operator requires both text keys to be set for processing.
使用 SDXL 模型生成相似的图像对。
该算子使用 Hugging Face 的扩散模型根据两个文本提示生成图像对。生成图像的质量和相似度由 num_inference_steps 和 guidance_scale 等参数控制。第一个和第二个文本提示分别通过 text_key 和 text_key_second 指定。生成的图像保存在指定的 output_dir 中，并带有唯一的文件名。算子要求设置两个文本键才能进行处理。
Type 算子类型: mapper
Tags 标签: cpu, text
🔧 Parameter Configuration 参数配置¶
name 参数名 |
type 类型 |
default 默认值 |
desc 说明 |
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<class ‘str’> |
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diffusion model name on huggingface to generate the image. |
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whether to trust the remote code of HF models. |
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<class ‘str’> |
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the floating point type used to load the diffusion model. |
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<class ‘float’> |
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The larger the value, the better the image generation quality; however, this also increases the time required for generation. |
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<class ‘float’> |
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A higher guidance scale value encourages the model to generate images closely linked to the text prompt at the expense of lower image quality. Guidance scale is enabled when |
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the key name used to store the first caption in the caption pair. |
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the key name used to store the second caption in the caption pair. |
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the storage location of the generated images. |
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📊 Effect demonstration 效果演示¶
not available 暂无