训练Lora_pokemon-blip-captions下载

1、下载数据

 
import sys
import os
import json
 
 
 
if __name__ =="__main__":
    jsonfile = "data/pokeman.json"  #sys.argv[1]
    savedir = "data/pokemon-blip-captions/"  #  sys.argv[2]
    os.system("curl -X GET \"https://datasets-server.huggingface.co/first-rows?dataset=lambdalabs%2Fpokemon-blip-captions&config=lambdalabs--pokemon-blip-captions&split=train\" > data/pokeman.json")
    txtfile = savedir.rstrip("/")+"_text.txt"
    with open(jsonfile) as fb:
        lines = fb.readlines()
        line = lines[0].rstrip()
        data_dict = eval(line)
        #data_dict = json.load(fb)
    print(data_dict.keys())
    
    txt_list = []
    for ii in data_dict["rows"]:
        idx = ii["row_idx"]
        url = ii["row"]["image"]["src"]
        os.system(f"wget \"{url}\" -O {savedir}/{idx}.jpg")
        txt = ii["row"]["text"]
        txt_list.append(txt)
        with open(f"{savedir}/{idx}.txt", 'w') as fb:
            fb.writelines(txt)
    with open(txtfile, 'w') as fb:
        fb.writelines("\n".join(txt_list))
## 

2、diffusers仓库

1）安装环境，需要额外安装dataset， pip install datasets

from datasets import load_dataset ModuleNotFoundError: No module named 'datasets' · Issue #1463 · huggingface/diffusers · GitHub

2）升级accelerate==0.16.0

ImportError: cannot import name 'ProjectConfiguration' from 'accelerate.utils' · Issue #2571 · huggingface/diffusers · GitHub

3、训练脚本

Using LoRA for Efficient Stable Diffusion Fine-Tuning

采用 diffuers训练脚本

export MODEL_NAME="runwayml/stable-diffusion-v1-5"
export OUTPUT_DIR="models/mymodel/lora_pokeman"
export DATASET_NAME="lambdalabs/pokemon-blip-captions"
 
 
accelerate launch --mixed_precision="fp16"  examples/text_to_image/train_text_to_image_lora.py \
  --pretrained_model_name_or_path=$MODEL_NAME \
  --dataset_name=$DATASET_NAME \
  --dataloader_num_workers=8 \
  --resolution=512 --center_crop --random_flip \
  --train_batch_size=1 \
  --gradient_accumulation_steps=4 \
  --max_train_steps=15000 \
  --learning_rate=1e-04 \
  --max_grad_norm=1 \
  --lr_scheduler="cosine" --lr_warmup_steps=0 \
  --output_dir=${OUTPUT_DIR} \
  --checkpointing_steps=500 \
  --validation_prompt="" \
  --seed=1337

4、输出（sd1.5）

a drawing of a gray and yellow pokemon <lora:lora_pokeman-15000:1>