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Options are stable-diffusion, stable-diffusion-xl, essential-v2. model : The model to use. The available models are listed in the Image Generation Models section. prompt : The prompt you want to generate an image for. width : The width of the image to generate. height : The height of the image to generate.
[ 10.0.2.2/24 ] [ /dev/pts/30 ] [easydiffusion/easy-diffusion/models] → ls codeformer embeddings gfpgan hypernetwork lora realesrgan stable-diffusion vae [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easydiffusion/easy-diffusion/models] → cd lora [ 10.0.2.2/24 ] [ /dev/pts/30 ] [easy-diffusion/models/lora] → ls 'Place your lora model files here.txt' [ 10.0.2.2/24 ] [ /dev/pts/30 ]...
The new changes would have given Meta the right to use public content on Instagram and Facebook to train its AI models. Public content that could be collected included comments, status updates, interactions with companies, photos, and photo captions.
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Ive been experimenting with different tools, which i can then use with local large language models (LLLM) for generating useful output. I made a script in python that connects to my local ollama server using the API. import ollama from ollama import Client import sys import subprocess client = Client(host='http://127.0.0.1:11434') query = sys.argv[1] def analyse(query): print( " Processing Command " ) response = client.chat(model='mistral', messages=[{ 'role': 'user', 'content': '''...
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hckrnws Back Adding guardrails to large language models ( github.com ) 62 7 2y by swyx Star Animats 2y Well, sort of. This is mostly for using a large language model to generate JSON or XML or SQL, something for which there's a syntax checker.