/visual-chatgpt

VisualChatGPT

Primary LanguagePythonMIT LicenseMIT

Visual ChatGPT

Visual ChatGPT connects ChatGPT and a series of Visual Foundation Models to enable sending and receiving images during chatting.

See our paper: Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

Demo

System Architecture

Logo

Quick Start

# create a new environment
conda create -n visgpt python=3.8

# activate the new environment
conda activate visgpt

#  prepare the basic environments
pip install -r requirement.txt

# download the visual foundation models
bash download.sh

# prepare your private openAI private key
export OPENAI_API_KEY={Your_Private_Openai_Key}

# create a folder to save images
mkdir ./image

# Start Visual ChatGPT !
python visual_chatgpt.py

GPU memory usage

Here we list the GPU memory usage of each visual foundation model, one can modify self.tools with fewer visual foundation models to save your GPU memory:

Foundation Model Memory Usage (MB)
ImageEditing 6667
ImageCaption 1755
T2I 6677
canny2image 5540
line2image 6679
hed2image 6679
scribble2image 6679
pose2image 6681
BLIPVQA 2709
seg2image 5540
depth2image 6677
normal2image 3974
InstructPix2Pix 2795

Acknowledgement

We appreciate the open source of the following projects:

Hugging FaceLangChainStable DiffusionControlNetInstructPix2PixCLIPSegBLIP