The process of structuring text that can be interpreted and understood by a generative AI model is called Prompt Engineering. This can apply to text-only models such as Llama2 and image generation models such as Stable Diffusion. Often, the key to generating an appropriate piece of text or an accurate image comes down to how the prompt is engineered. - Source: dev.to / over 2 years ago

The images created by AI Image Generators like Midjourney or Stable Diffusion are quite impressive. In the last few days, I have been testing with Stable Diffusion's AI Image Generator (text-to-image) to create a futurebucket logo. For me as a beginner, I am quite satisfied with the results. Please let me know which one you prefer. Source: over 2 years ago

Hey guys, I used to use this stable diffusion UI a lot (https://stablediffusionweb.com/). It used to be much simpler though, a single line for a prompt and would generate 4 images in usually 10 second. Source: almost 3 years ago

I got acquainted with stablediffusionweb.com and the Playground option it had back in May 2023 and made some good use of it from there to mid-July or so. Got busy, hadn't used it until late August, now I come back and see the Playground is a different thing entirely now that it's "Stable Diffusion XL 1.5" or something. Not only does it now only output 1 image as opposed to 4 images, it takes 8 times longer and the... Source: almost 3 years ago

The web site I did try, including https://stablediffusionweb.com/ or Artroom do not have all the option and flexibility I see in automatic 1111, explacially for fine tuning and manually guide further elaboration. Source: about 3 years ago

Memory. I use Supermemory for this. Before, Pipa loaded context files and knew to update them. A memory tool adds teammate-like recall: goals, preferences, latest business state, and small details that should carry across runs. Good memory tools also know how to supersede and delete memories, which matters once the agent has more autonomy. - Source: dev.to / about 1 month ago

We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come from search over your uploaded documents instead of guesswork. The code stays small and most of the behavior lives in one registered function that asks the memory store for relevant... - Source: dev.to / 2 months ago

My friends and I are working on https://supermemory.ai, an AI second brain to help you remember content from saved webpages and notes. - Source: Hacker News / almost 2 years ago