Based on our record, Hugging Face should be more popular than Stable Diffusion Online. It has been mentiond 253 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 6 days ago
HuggingFaceEmbeddings is a function that we use for converting our documents to vector which is called embedding, you can use any embedding model from huggingface, it will load the model on your local computer and create embeddings(you can use external api/service to create embeddings), then we just pass this to context and create index and store them into folder so we can reuse them and don't need to recalculate it. - Source: dev.to / about 1 month ago
The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / about 1 month ago
Finally, you'll need to download a compatible language model and copy it to the ~/llama.cpp/models directory. Head over to Hugging Face and search for a GGUF-formatted model that fits within your device's available RAM. I'd recommend starting with TinyLlama-1.1B. - Source: dev.to / about 2 months ago
At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / about 2 months ago
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 / 5 months 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: 6 months 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: 8 months 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: 9 months 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: 10 months ago
Replika - Your Ai friend
Midjourney - Midjourney lets you create images (paintings, digital art, logos and much more) simply by writing a prompt.
LangChain - Framework for building applications with LLMs through composability
DALL-E - Creating images from text, from Open AI
Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
Diffusion Bee - Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac.