Microsoft continues the AI race without downshifting with Visual ChatGPT. Visual ChatGPT is a new model that combines ChatGPT and VFMs including Transformers, ControlNet and Stable Diffusion. Sounds good? Technology also makes it possible for ChatGPT conversations to break down language barriers. As the GPT-4 release date approaches, the future of ChatGPT is getting brighter with each passing day.
Even though there are many successful AI image generators like DALL-E 2, Wombo Dream and more, a newly developed AI art tool is always warmly welcomed by the community. Will Visual ChatGPT continue this tradition? Let’s take a closer look.
What is Visual ChatGPT?
Visual ChatGPT is a new model that combines ChatGPT with VFMs like Transformers, ControlNet and Stable Diffusion. Essentially, the AI model acts as a bridge between users, allowing them to communicate via chat and generate visuals.
Courtesy Microsoft
ChatGPT is currently limited to writing a description for use with Stable Diffusion, DALL-E, or Midjourney; it cannot process or generate images itself. But with the Visual ChatGPT model, the system could generate an image, modify it, cut out unwanted elements, and more.
ChatGPT has attracted interdisciplinary interest for its remarkable conversational and reasoning skills across multiple sectors, resulting in an excellent choice for a voice interface.
However, his linguistic training prohibits him from processing or generating images from the visual environment. Meanwhile, models with visual bases like Visual Transformers or Steady Diffusion show impressive visual understanding and production skills when given tasks with fixed entries and exits in a round. By combining these two models, a new model like Visual ChatGPT can be created.
“Rather than train a new multimodal ChatGPT from scratch, we build Visual ChatGPT directly on top of ChatGPT and integrate a variety of VFMs.”
-Microsoft
It allows users to communicate with ChatGPT in a way that goes beyond words.
Courtesy of MicrosoftWhat are Visual Foundation Models (VFMs)?
The term “Visual Foundation Models” (VFMs) is commonly used to characterize a group of fundamental algorithms used in computer vision. These methods are used to transfer standard computer vision skills to AI applications and can serve as the basis for more complex models.
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Visual ChatGPT features
Researchers at Microsoft have developed a system called Visual ChatGPT that provides numerous basic visual models and graphical user interfaces for interacting with ChatGPT.
What’s changing with Visual ChatGPT? It will be able to:
Besides text, Visual ChatGPT can also generate and receive images. Complex visual queries or editing instructions that require the collaboration of different AI models across multiple stages can be processed by Visual ChatGPT. To handle models with lots of inputs/outputs and those that require visual feedback, researchers developed a set of prompts that integrate visual model information into ChatGPT. They discovered through testing that Visual ChatGPT facilitates the exploration of ChatGPT’s visual capabilities by using fundamental visual models. Image courtesy of Microsoft
It’s not perfect yet. The researchers observed certain problems in their work, such as B. the inconsistent generation of results caused by the failure of Visual Foundation Models (VFMs) and the variety of prompts. They concluded that a self-correcting engine is needed to ensure execution results match human goals and make any necessary corrections. Due to the need for ongoing course correction, the inclusion of such a module could increase the model’s inference time. The team intends to further investigate this matter in a follow-up study.
How do I use Visual ChatGPT?
You must first run the Visual ChatGPT demo. According to the GitHub page, you need to do the following:
# 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 require.txt # download the Visual Foundation models bash download.sh # your private openAI private key prepare export OPENAI_API_KEY={Your_Private_Openai_Key} # create folder to store images mkdir ./image # start Visual ChatGPT ! python visual_chatgpt.py
After the Visual ChatGPT demo starts running on your PC, all you have to do is give it a command prompt!
Using tools like Visual ChatGPT can lower the learning curve for text-to-image models and allow different AI programs to communicate with each other. Previous state-of-the-art models such as LLMs and T2I models were developed in isolation; but with the help of innovation, we may be able to significantly improve their performance.
When it comes to producing images with ChatGPT, GPT-4 immediately springs to mind. When will this highly anticipated model be released?
Release date of GPT-4
According to the Chief Technology Officer (CTO) of Microsoft Germany, a new model for artificial intelligence called GPT-4 from OpenAI, the company behind ChatGPT, is to be released as early as next week. This new version is widely considered to be significantly more powerful than its predecessor, which will pave the way for the widespread adoption of generative AI in business.
Microsoft has been a key partner of the AI startup since 2019, when it invested $1 billion in OpenAI. Microsoft increased its stake in the AI lab by several billion dollars in January following the notable success of ChatGPT, an AI-powered chatbot that has taken the internet by storm in recent months.
Visual ChatGPT GPU memory usage
Visual ChatGPT also shared a list of each Visual Foundation model’s GPU memory usage.
Foundation ModelMemory Usage (MB)ImageEdit6667Caption1755T2I6677canny2image5540line2image6679hed2image6679scribble2image6679pose2image6681BLIPVQA2709seg2image5540depth2image6677normal2image3974InstructPix2Pix2795
To conserve your GPU memory, you can modify self.tools with less visual fundamental models.
See the paper for more information.
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Would you like to learn how to use ChatGPT effectively? We have some tips and tricks for you without having to switch to ChatGPT Plus! AI prompt engineering is key to boundless worlds, but you should be careful; If you want to use the AI tool, you may see errors like “ChatGPT is busy right now” and “Too many requests, try again in 1 hour later”. Yes, these are really annoying bugs, but don’t worry; we know how to fix them.
While there is still some debate about artificial intelligence generated images, people are still searching for the best AI art generators. Will AI replace designers? Read on and find out.
