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

hf_diffusion

<class ‘str’>

'stabilityai/stable-diffusion-xl-base-1.0'

diffusion model name on huggingface to generate

trust_remote_code

False

torch_dtype

<class ‘str’>

'fp32'

the floating point type used to load the diffusion

num_inference_steps

<class ‘float’>

50

The larger the value, the better the

guidance_scale

<class ‘float’>

7.5

A higher guidance scale value encourages the

text_key

None

the key name used to store the first caption

text_key_second

None

the key name used to store the second caption

output_dir

'/home/cmgzn/.cache/data_juicer/assets'

the storage location of the generated images.

args

''

kwargs

''

📊 Effect demonstration 效果演示

not available 暂无