AI Image Upscaler by Upscale.media VS Hugging Face

I don't know if this will work, and I'm sure someone will correct me if I'm wrong... BUT! What if you upscale it on something like "upscale.media" (that is a url), then print it at 300 dpi, however big you can get it to be. Then scan that print to be as big as you need it. And then put it on the blanket. It just might work! And it's not like a blanket will require super high resolution anyway. Source: 5 months ago

You can use upscale.media to get ai upscaling. Works really well when finding lower res covers. Source: 5 months ago

The one I'm using now, and its free is upscale.media and the other recommended was Topaz AI. Source: 10 months ago

I recommend to drop the photo on upscale.media or any other image upscaler and put the enhance quality on it should help. Source: 11 months ago

The process for this one was fun. I started with no prompt and ran 9 images. I considered my favorite of the batch and distilled it down to a word. I tried to avoid nouns as to not give too much direction too early. Once I started getting a bunch of boring similar images I backed up a few words to where it was really dynamic and interesting. Then I found one and hires fixed it, then img2img scaled up by 2 to add a... Source: about 1 year 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 / 17 days ago

The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / 22 days 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 / 29 days 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 / 29 days ago

New models can be added by downloading GGUF format models to the models sub-directory from https://huggingface.co/. - Source: dev.to / about 1 month ago