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metadata
license: creativeml-openrail-m
base_model: Linaqruf/anything-v3.0
tags:
  - stable-diffusion
  - stable-diffusion-ppdiffusers
  - ppdiffusers
  - DreamBooth
  - text-to-image

DreamBooth - Liyulingyue/Neolle_Face_Generator

本仓库的权重是基于 Linaqruf/anything-v3.0 训练而来的,我们采用DreamBooth的技术并使用a photo of Neolle文本进行了训练。

用于微调的图片共10张,均为原神角色诺艾尔,batch_size取1,学习率是5e-6,共训练1000步。

一些提示词示例 - Some prompt examples

  • Noelle with glasses
  • Noelle with sunglasses
  • Noelle with dark hair, beautiful eyes
  • Noelle, 20 years old
  • Noelle playing basketball
  • Noelle with cat ears, blue hair

生成图片展示 - Generated Images

使用方法 - How to use it

# In any Jupyter Enviroment

! git lfs install
! git clone https://huggingface.co/Liyulingyue/Neolle_Face_Generator

! pip install -U paddlepaddle paddlenlp ppdiffusers visualdl safetensors --user

from ppdiffusers import StableDiffusionPipeline

# 加载模型
model_path = "Neolle_Face_Generator"
pipe = StableDiffusionPipeline.from_pretrained(model_path)

# 提示词,生成一个带猫耳,绿色头发的诺艾尔
prompt = "Noelle with cat ears, green hair"

# 生成
image = pipe(prompt, num_inference_steps=50,guidance_scale=10).images[0]
# 保存
image.save("test.jpg")
# 展示图片
image.show()

更多示例以及一件运行+生成 - More information

https://aistudio.baidu.com/aistudio/projectdetail/5912535