This is a Stable Diffusion model fine-tuned on the WBC concept with DreamBooth. It can be used by modifying the instance_prompt: a WBC WBC_WBC_unclear 注：只是个测试（单类WBC）

Description

该模型是基于Stable Diffusion v1-4使用DreamBooth方法微调的医学显微镜图像生成模型，专用于生成不同病理状态下的白细胞显微图像。训练数据包含多种白细胞，分辨率512x512，适用于医学教育可视化场景。

Usage

python

from diffusers import StableDiffusionPipeline

# 基础用法
pipeline = StableDiffusionPipeline.from_pretrained('zz123ff/WBC-WBC_WBC_unclear')
image = pipeline("a WBC WBC_WBC_unclear under microscopy").images[0]
image.save("output.png")

# 高级用法
import torch
pipeline = StableDiffusionPipeline.from_pretrained(
    "zz123ff/WBC-WBC_WBC_unclear",
    torch_dtype=torch.float16
).to("cuda")
image = pipeline(
    "High-resolution a WBC WBC_WBC_unclear with pathological features", 
    num_inference_steps=50
).images[0]
image.save("detailed_output.png")