abyss_orange_mix_2_webui_colab.ipynb

Kernel: Python 3

#@markdown ## 구글드라이브 연동
#@markdown **생성한 이미지를 구글드라이브에 자동저장하려면 체크해주세요**
Google_Drive = False #@param {type:"boolean"}

#@markdown **초기모델(checkpoint)을 구글드라이브에 저장하려면 체크해주세요**
#@markdown <div><font color="red">모델 파일사이즈(2GB ~ 7GB)가 크니 구글드라이브 용량을 확인해주세요</div>
#@markdown <div><font color="red">대신 한번받으면 다음 실행부터는 빨라져요</div>
Checkpoint_Google_Save = False #@param {type:"boolean"}

#@markdown -----
#@markdown *터널링*

#@markdown **Ngrok**
Ngrok_Key = '' #@param {type:"string"}

#@markdown **Localtunnel**
Localtunnel = False #@param {type:"boolean"}

#@markdown -----
#@markdown *아래는 설정할 필요 없어요*

#@markdown **구글드라이브에 연결 폴더**
Google_Drive_Dir = 'webui' #@param {type:"string"}

#@markdown **폴더 설명** : 미리 만드셔도 되고 없으면 자동으로 생성해요
#@markdown * webui/output : 생성된 이미지들이 저장되요
#@markdown * webui/checkpoint : 모델(checkpoint)를 넣어주면 읽어올수 있어요
#@markdown * webui/lora : 로라(LoRA)를 넣어주면 읽어올수 있어요
#@markdown * webui/embedding : 임베딩(Textual Inversion)를 넣어주면 읽어올수 있어요
#@markdown * webui/hyperwork : 하이퍼워크(Hyperworks)를 넣어주면 읽어올수 있어요
#@markdown * webui/wildcards : 와일드카드(Wildcards)를 넣어주면 읽어올수 있어요

#@markdown **초기모델(checkpoint) URL**
Checkpoint_Url = 'https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix2/Pruned/AbyssOrangeMix2_hard_pruned_fp16_with_VAE.safetensors' #@param {type:"string"}
#@markdown **초기모델 파일명**
Checkpoint_Filename = 'AbyssOrangeMix2_hard_pruned_fp16_with_VAE.safetensors' #@param {type:"string"}

#@markdown -----
#@markdown *추가익스텐션*

#@markdown **ControlNet을 사용하지 않으면 체크를 해제해주세요**
ControlNet = True #@param {type:"boolean"}
Workspace = 'ui'
NotebookVersion = 'deforum'

if Google_Drive:
  from google.colab import drive
  drive.mount('/content/drive')

Checkpoint_SavePath = f'/content/{Workspace}/models/Stable-diffusion'
if Google_Drive and Checkpoint_Google_Save:
  Checkpoint_SavePath = f'/content/{Workspace}/models/Stable-diffusion/google'

!apt -y install -qq aria2

%cd /content
!wget https://raw.githubusercontent.com/neuralninja22/colab/master/misc/install_{NotebookVersion}.sh -O /content/install.sh
!bash /content/install.sh {Workspace} {ControlNet}

# 구글드라이브 연결
!wget https://raw.githubusercontent.com/neuralninja22/colab/master/misc/link_google_drive.sh -O /content/link_google_drive.sh
!bash /content/link_google_drive.sh {Workspace} {Google_Drive} {Google_Drive_Dir}

# 커스터마이징
%cd /content/{Workspace}
!bash /content/drive/MyDrive/{Google_Drive_Dir}/{NotebookVersion}/install.sh {Workspace}
if Google_Drive:
  !cp -f /content/drive/MyDrive/{Google_Drive_Dir}/{NotebookVersion}/config.json /content/{Workspace}/config.json
  !cp -f /content/drive/MyDrive/{Google_Drive_Dir}/{NotebookVersion}/ui-config.json /content/{Workspace}/ui-config.json
  !cp -f /content/drive/MyDrive/{Google_Drive_Dir}/{NotebookVersion}/styles.csv /content/{Workspace}/styles.csv

# checkpoint select
!sed -i -e 's/"sd_model_checkpoint": "",/"sd_model_checkpoint": "{Checkpoint_Filename}",/g' /content/{Workspace}/config.json

# checkpoint
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M "{Checkpoint_Url}" -d {Checkpoint_SavePath} -o {Checkpoint_Filename}

# vae
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.ckpt -d {Checkpoint_SavePath} -o vae-ft-mse-840000-ema-pruned.vae.pt
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/hakurei/waifu-diffusion-v1-4/resolve/main/vae/kl-f8-anime2.ckpt -d /content/{Workspace}/models/VAE -o kl-f8-anime2.ckpt

# lora
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M "https://civitai.com/api/download/models/62833?type=Model&format=SafeTensor" -d /content/{Workspace}/models/Lora -o add_detail.safetensors
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M "https://civitai.com/api/download/models/63006?type=Model&format=SafeTensor" -d /content/{Workspace}/models/Lora -o LowRA.safetensors
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M "https://civitai.com/api/download/models/32988?type=Model&format=SafeTensor&size=full&fp=fp16" -d /content/{Workspace}/models/Lora -o blindbox_V1Mix.safetensors

# embeddings
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/datasets/gsdf/EasyNegative/resolve/main/EasyNegative.pt -d /content/{Workspace}/embeddings -o EasyNegative.pt
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/AsciiP/badhandv4/resolve/main/badhandv4.pt -d /content/{Workspace}/embeddings -o badhandv4.pt
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/yesyeahvh/bad-hands-5/resolve/main/bad-hands-5.pt -d /content/{Workspace}/embeddings -o bad-hands-5.pt
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M "https://civitai.com/api/download/models/60938?type=Negative&format=Other" -d /content/{Workspace}/embeddings/ -o negative_hand.pt
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M "https://civitai.com/api/download/models/60095?type=Negative&format=Other" -d /content/{Workspace}/embeddings/ -o bad_prompt_version2.pt

if Localtunnel:
  !npm install -g localtunnel

  import subprocess
  import threading
  import time
  import socket
  import urllib.request

  def iframe_thread(port):
    while True:
        time.sleep(0.5)
        sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
        result = sock.connect_ex(('127.0.0.1', port))
        if result == 0:
          break
        sock.close()
    print("\nComfyUI finished loading, trying to launch localtunnel (if it gets stuck here localtunnel is having issues)\n")

    print("The password/enpoint ip for localtunnel is:", urllib.request.urlopen('https://ipv4.icanhazip.com').read().decode('utf8').strip("\n"))
    p = subprocess.Popen(["lt", "--port", "{}".format(port)], stdout=subprocess.PIPE)
    for line in p.stdout:
      print(line.decode(), end='')


  threading.Thread(target=iframe_thread, daemon=True, args=(7860,)).start()

if Ngrok_Key:
  !python launch.py --xformers --no-half-vae --theme dark --ngrok {Ngrok_Key}
else:
  !python launch.py --share --xformers --no-half-vae --theme dark --gradio-queue