引言

近期，快手开源了名为Kolors（可图）的文本到图像生成模型，该模型具有对英语和汉语的深刻理解，并能够生成高质量、逼真的图像。技术报告中也提了几个重要的工作内容：

首先，Kolors基于通用语言模型（ChatGLM），而不是像Imagen和Stable Diffusion 3基于大语言模型T5，这增强了其对英语和汉语的理解能力，并利用多模态大型语言模型CogVLM重新为训练数据集中的图像生成更详细的描述；

其次，Kolors训练分为两个阶段，即概念学习阶段和质量改进阶段，并使用特定的数据集进行训练以提高视觉吸引力，通过引入高质量的数据和优化高分辨率训练技术来改善图像质量；

最后，Kolors团队提出了一种平衡类别的基准数据集KolorsPrompts，用于指导Kolors的训练和评估。

实验结果表明，即使使用U-Net backbone，可图Kolors也表现出色，在人类评价中超越了现有的开源模型，性能达到了Midjourney-v6水平。Kolors代码和权重已经开源！

代码开源链接：https://github.com/Kwai-Kolors/Kolors

模型开源链接：https://modelscope.cn/models/Kwai-Kolors/Kolors

技术报告链接：https://github.com/Kwai-Kolors/Kolors/blob/master/imgs/Kolors_paper.pdf

下载和体验可图

模型链接直达：

https://modelscope.cn/models/Kwai-Kolors/Kolors?from=csdnzishequ_text?from=csdnzishequ_text

下载方式：

sdk下载：

#模型下载
from modelscope import snapshot_download
model_dir = snapshot_download('Kwai-Kolors/Kolors')

git下载

git clone https://www.modelscope.cn/Kwai-Kolors/Kolors.git

CLI下载

modelscope download --model=Kwai-Kolors/Kolors --local_dir ./Kolors/

最佳实践

参考开源项目：https://github.com/kijai/ComfyUI-KwaiKolorsWrapper，我们在魔搭社区免费GPU算力上，完成了Kolors的ComfyUI环境搭建和体验实践。

体验环境

使用魔搭社区的Notebook运行Kolors可图模型：

搭建 ComfyUI

从最新的ComfyUI的代码安装

# #@title Environment Setup

from pathlib import Path

OPTIONS = {}
UPDATE_COMFY_UI = True  #@param {type:"boolean"}
INSTALL_COMFYUI_MANAGER = True  #@param {type:"boolean"}
INSTALL_KOLORS = True  #@param {type:"boolean"}
INSTALL_CUSTOM_NODES_DEPENDENCIES = True  #@param {type:"boolean"}
OPTIONS['UPDATE_COMFY_UI'] = UPDATE_COMFY_UI
OPTIONS['INSTALL_COMFYUI_MANAGER'] = INSTALL_COMFYUI_MANAGER
OPTIONS['INSTALL_KOLORS'] = INSTALL_KOLORS
OPTIONS['INSTALL_CUSTOM_NODES_DEPENDENCIES'] = INSTALL_CUSTOM_NODES_DEPENDENCIES

current_dir = !pwd
WORKSPACE = f"{current_dir[0]}/ComfyUI"



%cd /mnt/workspace/

![ ! -d $WORKSPACE ] && echo -= Initial setup ComfyUI =- && git clone https://github.com/comfyanonymous/ComfyUI
%cd $WORKSPACE

if OPTIONS['UPDATE_COMFY_UI']:
  !echo "-= Updating ComfyUI =-"
  !git pull


if OPTIONS['INSTALL_COMFYUI_MANAGER']:
  %cd custom_nodes
  ![ ! -d ComfyUI-Manager ] && echo -= Initial setup ComfyUI-Manager =- && git clone https://github.com/ltdrdata/ComfyUI-Manager
  %cd ComfyUI-Manager
  !git pull

if OPTIONS['INSTALL_KOLORS']:
  %cd ../
  ![ ! -d ComfyUI-KwaiKolorsWrapper ] && echo -= Initial setup KOLORS =- && git clone https://github.com/kijai/ComfyUI-KwaiKolorsWrapper.git
  %cd ComfyUI-KwaiKolorsWrapper
  !git pull

%cd $WORKSPACE

if OPTIONS['INSTALL_CUSTOM_NODES_DEPENDENCIES']:
  !pwd
  !echo "-= Install custom nodes dependencies =-"
  ![ -f "custom_nodes/ComfyUI-Manager/scripts/colab-dependencies.py" ] && python "custom_nodes/ComfyUI-Manager/scripts/colab-dependencies.py"

下载模型权重

#@markdown ###Download standard resources

OPTIONS = {}

#@markdown **unet**

!wget -c "https://modelscope.cn/models/Kwai-Kolors/Kolors/resolve/master/unet/diffusion_pytorch_model.fp16.safetensors" -P ./models/diffusers/Kolors/unet/
!wget -c "https://modelscope.cn/models/Kwai-Kolors/Kolors/resolve/master/unet/config.json" -P ./models/diffusers/Kolors/unet/


#@markdown **encoder**

!modelscope download --model=ZhipuAI/chatglm3-6b-base --local_dir ./models/diffusers/Kolors/text_encoder/

#@markdown **vae**

!wget -c "https://modelscope.cn/models/AI-ModelScope/sdxl-vae-fp16-fix/resolve/master/sdxl.vae.safetensors" -P ./models/vae/ #sdxl-vae-fp16-fix.safetensors

#@markdown **scheduler**
!wget -c "https://modelscope.cn/models/Kwai-Kolors/Kolors/resolve/master/scheduler/scheduler_config.json" -P ./models/diffusers/Kolors/scheduler/

#@markdown **modelindex**
!wget -c "https://modelscope.cn/models/Kwai-Kolors/Kolors/resolve/master/model_index.json" -P ./models/diffusers/Kolors/

通过cloudflareg启动ComfyUI

!wget "https://modelscope.oss-cn-beijing.aliyuncs.com/resource/cloudflared-linux-amd64.deb"
!dpkg -i cloudflared-linux-amd64.deb

%cd /mnt/workspace/ComfyUI
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 cloudflared (if it gets stuck here cloudflared is having issues)\n")

  p = subprocess.Popen(["cloudflared", "tunnel", "--url", "http://127.0.0.1:{}".format(port)], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
  for line in p.stderr:
    l = line.decode()
    if "trycloudflare.com " in l:
      print("This is the URL to access ComfyUI:", l[l.find("http"):], end='')
    #print(l, end='')


threading.Thread(target=iframe_thread, daemon=True, args=(8188,)).start()

!python main.py --dont-print-server

点击右侧 load，加载ComfyUI-KwaiKolorsWrapper项目提供的 workflow

文生图体验：