I have been exploring two highly active applications on GitHub for the past week: Auto-GPT and AgentGPT, and trying to deploy them on my local machine. After using these applications, here are my impressions:
Auto-GPT is a console-based program that generates questions based on the user’s central idea and searches for answers using ChatGPT. It was designed for the GPT-4.0 model and is also backward-compatible; it can use the GPT-3.5 model. AutoGPT has various built-in interfaces like Pinecone and DALL-E, which provide efficient search caching, image generation, and many other interfaces. The program’s most impressive feature is its ability to generate questions based on user requests and, using Google’s search engine, provide more specific requirements for the GPT-3.5 or GPT-4.0 models. AutoGPT can also generate multiple assistants and handle multiple workflows simultaneously.
This program is an effective model training tool, connecting GPT to the network, and provides a seamless workflow. However, the program’s main issue is its output; it is often unsatisfactory or may not be produced at all, and the generated outputs for different projects can be chaotic. Most importantly, the program seems unable to define a perfect or correct standard for the output, turning the entire task into an infinite loop. This is currently the most significant issue that needs to be resolved in the program.
On the other hand, AgentGPT is a web-based UI interface that uses the AutoGPT kernel. It addresses some of Auto-GPT’s interface issues and offers better display quality and ease of use. However, it shares the same drawbacks as Auto-GPT. AgentGPT is not deployed locally, making it more challenging to obtain results.As we delve deeper into the exploration of GPT, I believe that a truly usable version will be available soon.
About 12 years ago, I came across a news article about Bitcoin where a programmer had used it to buy a pizza, which I found quite interesting. I downloaded mining software and, at that time, it was actually possible to mine Bitcoin with a computer, although it required a lot of computing power. My old laptop could also mine, but the software estimated that it would take about a month of continuous use to mine a significant amount. At that time, the price of Bitcoin was around $70 to $80 each. However, I quickly realized that my laptop would become unbearably slow if I continued mining, so I gave up after just a couple of hours.
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Copy the text following and send it to ChatGPT. When you see it say “I’m ready,” you can describe a simple scene and ChatGPT will provide you with an accurate description suitable for midjourney prompt.
You will now act as a prompt generator for a generative AI called “Midjourney”. Midjourney AI generates images based on given prompts.I will provide a concept in so wait till i give you instruction and you will provide the prompt for Midjourney AI.You will never alter the structure and formatting outlined below in any way and obey the following guidelines:You will not write the words “description” or use “:” in any form. You will write each prompt in one line without using return. Structure of prompt will be in: [1] = [KEYWORD] [2] = a detailed description of [1] that will include very specific imagery details. [3] = with a detailed description describing the environment of the scene. [4] = with a detailed description describing the mood/feelings and atmosphere of the scene. [5] = A style, for example: photography, painting, illustration, sculpture, Artwork, paperwork, 3d and more). [6] = A description of how [5] will be realized. (e.g. Photography (e.g. Macro, Fisheye Style, Portrait) with camera model and appropriate camera settings, Painting with detailed descriptions about the materials and working material used, rendering with engine settings, a digital Illustration, a woodburn art (and everything else that could be defined as an output type) [7] = Parameters detaills as given below Note don’t use , when using parameter options and use all important parameter options which is required to generate image. Parameters details start Aspect Ratios (–aspect or –ar): Changes the aspect ratio of a generation. –aspect 5:4: Common frame and print ratio. –aspect 4:3: Common in television and photography. –aspect 3:2: Common in print photography. –aspect 16:9: Common in widescreen television and video. –aspect 2:1: Common in panoramic photography. –aspect 7:4: Close to HD TV screens and smartphone screens. –aspect 9:16: Common in vertical videos and smartphone screens. –aspect 1:2: Common in portrait-oriented photography. Chaos (–chaos ): Changes how varied the results will be. Higher values produce more unusual and unexpected generations. chaos parameter accepts a number from 0 to 100, where 0 produces very similar and expected results and 100 produces highly varied and unexpected results Negative prompting (–no): Removes unwanted elements from the image. Quality (–quality or –q <.25, .5, 1, or 2>): Controls the rendering quality of the image. Default is 1. Seed (–seed ): Specifies a seed number to generate the initial image grids. Using the same seed number and prompt will produce similar ending images. Stop (–stop ): Finishes a job partway through the process. Stopping a job at an earlier percentage can create blurrier, less detailed results. Model Version (–version or –v <1, 2, 3, 4, or 5>): Uses a different version of the Midjourney algorithm. The current algorithm (V4) is the default setting. Stylize (–stylize or –s ): Influences how strongly Midjourney’s default aesthetic style is applied to jobs. This parameter accepts a number from 0 to 1000, where 0 produces images that more closely resemble the input prompt and 1000 produces images with the strongest default Midjourney aesthetic style Upscalers (–uplight, –upbeta, –upanime): Adds additional details to the low-resolution image grid. Multiple upscale models are available. Image Weight (–iw): Sets the image prompt weight relative to text weight. Default value is 0.25. Parameters details End* Use aspect ratio which fits best for the image as per your understading. If [5] looks best in a Japanese art style use, “–niji”. Otherwise use, “–v 4” (Use exactly as written)Formatting:What you write will be exactly as formatted in the structure below including the “/” and “:” This is the prompt structure: “/imagine prompt: [1], [2], [3], [4], [5], [6] ,[7]”. Important point to note while writing prompts , Never use / or : between [1], [2], [3], [4], [5], [6] ,[7] Don’t use [] while generating prompt. The prompts you provide will be in English.Please pay attention:- Concepts that can’t be real would not be described as “Real” or “realistic” or “photo” or a “photograph”. for example, a concept that is made of paper or scenes which are fantasy related.- One of the prompts you generate for each concept must be in a realistic photographic style. you should also choose a lens type and size for it. Don’t choose an artist for the realistic photography prompts.- Separate the different prompts with two new lines. I will provide you keyword and you will generate 3 diffrent prompts in vbnet code cell so i can copy and paste. Are you ready ?
When installing certain software, you may encounter an error message: Error 0x8007015E. This error can cause the software installation to fail, and sometimes even prevent it from being uninstalled. It may also require you to restart your computer, but restarting may not solve the problem. Completing your Windows system updates can solve the problem.
