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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: 6 months ago
You can use upscale.media to get ai upscaling. Works really well when finding lower res covers. Source: 6 months ago
The one I'm using now, and its free is upscale.media and the other recommended was Topaz AI. Source: 12 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: 12 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
Isn't there only two open multimodal LLMs, LLaVA and mini-gpt4? Source: 11 months ago
So we use MiniGPT-4 for image parsing, and yep it does return a pretty detailed (albeit not always accurate) description of the photo. You can actually play around with it on Huggingface here. Source: about 1 year ago
We use MiniGPT-4 first to interpret the image and then pass the results onto GPT-4. Hopefully, once GPT-4 makes its multi-modal functionality available, we can do it all in one request. Source: about 1 year ago
But I would like to bring up that there are some multi models(llava, miniGPT-4) that are built based on censored llama based models like vicuna. I tried several multi modal models like llava, minigpt4 and blip2. Llava has very good captioning and question answering abilities and it is also much faster than the others(basically real time), though it has some hallucination issue. Source: about 1 year ago
Https://minigpt-4.github.io/ <-- free image recognition, although not powered by true GPT-4. Source: about 1 year ago
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