So that's another good reason to start using the Ӿ symbol more in your graphics and photos. Other image generation tools should gradually start to understand what the Ӿ symbol is when they encounter it in the wild through their training data. We didn't get around to testing any of these cloud services so your results may vary. ThinkDiffusion is one example of such a service. There are services online that provide cloud instances of Fooocus for a small cost and should allow you to plug in the Ӿ symbol model to generate images like we did here. My computer doesn’t meet the hardware requirementsĪll is not lost. Hint - try experimenting with Fooocus' Inpaint feature. There are ways to fix weird generations but they are outside the scope of this article. The AI will not get it perfect every time and this is likely because the Ӿ symbol model was not trained on enough data. Prompt: person holding a smartphone, xno_symbol on screen, close-up, busy streetįrom time to time you will likely get some wonky-looking Ӿ symbol generations (e.g three horizontal lines, instead of two). Prompt: red robot with 3d xno_symbol on chest, factory Prompt: giant xno_symbol statue standing in a beautiful meadow, isometric view Prompt: cute broccoli dog in kennel with xno_symbol Prompt: people looking at electricity xno_symbol Prompt: woman with xno_symbol jacket in city Prompt: wind turbine, standing on mountaintop, giant xno_symbol painted in blue on ground below To create different styles of image you can use the Style tab to select from a multitude of preset styles. The keyword can be written anywhere in your prompt, not just at the beginning.Īfter you have entered the prompt, hit Generate.ĭepending on the power of your computer you should see your image generation after a few seconds. It must appear exactly as shown, not "xno", not "nano_symbol" - it must be "xno_symbol". What is the "xno_symbol" text in the prompt? This is the keyword that the AI model understands as the Ӿ symbol. Click inside the Type prompt here input box and enter, for example: You are now ready to start generating your images. Think of it like a small Lego brick being added to a larger Lego structure. This "plugs" the Ӿ symbol model into your base model. Under LoRA 2 select xno_symbol-SDXL.safetensors. The advanced options should become visible. Open up Fooocus and you will be provided with a minimal interface with which to generate images using prompts.įirst make sure the Advanced checkbox is checked. Download the Ӿ symbol AI model (218 MB) and place it into the folder: Once you have installed Fooocus you will need to download a smaller model that contains knowledge about the Ӿ symbol. Note that the model is quite a large file (approx. During installation it will also download the AI model necessary to generate your images. Software requirementsĭownload and install the open-source image generation software Fooocus. Later in the article we will mention an alternative method if your computer does not meet these requirements. An Nvidia graphics card with a minimum of 6GB VRAM.May work on Linux/Mac also but not tested) Windows installed (Tested on a Windows 10 setup.To perform this you will need a computer with: This article will describe one way to do this today, locally on your computer. ![]() We need a way to get our image generation model to understand the Ӿ symbol. ![]() ![]() An AI model will have knowledge based upon images and captions it has been trained with, so if the model has not been fed any information about the Ӿ symbol it will not understand when you try to describe it. The reason it is difficult to get the Ӿ symbol into image generations is that there is no easy way to describe the Ӿ symbol to the base AI model. Normally a compromise is reached by generating an image and photoshopping the Ӿ symbol onto it afterwards, which can look good but sometimes a little flat. The results are often very impressive and sometimes a little weird, but always interesting.Ī commonly-voiced frustration within the Nano community is not being able to get the Nano currency symbol (Ӿ) into these image generations. You may have tried generating these images yourself through tools like NanoGPT. One of the more recent technological revolutions has been in AI, with image generation proving to be a very popular and rapidly advancing sub-category.
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