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File size: 2,412 Bytes
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{
"cells": [
{
"metadata": {},
"cell_type": "markdown",
"source": "Picture generations\n",
"id": "d93a01c4260ba9d2"
},
{
"cell_type": "code",
"execution_count": null,
"id": "initial_id",
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from together import Together\n",
"import os\n",
"from langchain_together import ChatTogether\n",
"from dotenv import load_dotenv\n",
"\n",
"load_dotenv()\n",
"import base64\n",
"\n",
"client = Together()\n",
"\n",
"getDescriptionPrompt = \"what is in the image? describe in detail\"\n",
"\n",
"imagePath = \"pics/IMG_3651.jpg\"\n",
"\n",
"\n",
"def encode_image(image_path):\n",
" with open(image_path, \"rb\") as image_file:\n",
" return base64.b64encode(image_file.read()).decode('utf-8')\n",
"\n",
"\n",
"base64_image = encode_image(imagePath)\n",
"\n",
"stream = client.chat.completions.create(\n",
" # model=\"meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo\",\n",
" model=\"meta-llama/Llama-Vision-Free\",\n",
" messages=[\n",
" {\n",
" \"role\": \"user\",\n",
" \"content\": [\n",
" {\"type\": \"text\", \"text\": getDescriptionPrompt},\n",
" {\n",
" \"type\": \"image_url\",\n",
" \"image_url\": {\n",
" \"url\": f\"data:image/jpeg;base64,{base64_image}\",\n",
" },\n",
" },\n",
" ],\n",
" }\n",
" ],\n",
" stream=False,\n",
")\n",
"prompt = stream.choices[0].message.content\n",
"\n",
"response = client.images.generate(\n",
" prompt=prompt,\n",
" model=\"black-forest-labs/FLUX.1-schnell-Free\",\n",
" steps=4,\n",
" n=4\n",
")\n",
"print(response.data[0].url)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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