lucataco

import os
import datetime
from huggingface_hub import hf_hub_download
from safetensors.torch import load_file
import torch

sf_filename = hf_hub_download("bigscience/bloom-560m", filename="model.safetensors")
pt_filename = hf_hub_download("bigscience/bloom-560m", filename="pytorch_model.bin")

lucataco

import os
import datetime
from huggingface_hub import hf_hub_download
from safetensors.torch import load_file
import torch

sf_filename = "./model.safetensors"
pt_filename = hf_hub_download("google/flan-t5-large", filename="pytorch_model.bin")

lucataco

# Install Ubuntu 22.04
sudo apt-get update
sudo apt-get upgrade -y

# Install ssh, curl, git, htop
sudo apt install openssh-server 
sudo apt install curl git htop zstd

# Install CUDA toolkit 12.4 drivers
https://developer.nvidia.com/cuda-downloads

lucataco

from transformers import AutoTokenizer, AutoModelForCausalLM
import transformers
import torch
import time

model = "tiiuae/falcon-7b"

tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
    "text-generation",

lucataco

import os
import torch
from diffusers import DiffusionPipeline, EulerDiscreteScheduler
from safetensors import safe_open
from dataset_and_utils import TokenEmbeddingsHandler

pipe = DiffusionPipeline.from_pretrained(
        "stabilityai/stable-diffusion-xl-base-1.0",
        torch_dtype=torch.float16,
        use_safetensors=True,

lucataco

import os
import json
import torch
from diffusers import DiffusionPipeline, EulerDiscreteScheduler
from safetensors import safe_open
from dataset_and_utils import TokenEmbeddingsHandler
from safetensors.torch import load_file
from diffusers.models.attention_processor import LoRAAttnProcessor2_0

pipe = DiffusionPipeline.from_pretrained(

lucataco

# Update Ubuntu 22.04
sudo apt-get update

# Install cog
sudo curl -o /usr/local/bin/cog -L "https://github.com/replicate/cog/releases/latest/download/cog_$(uname -s)_$(uname -m)"
sudo chmod +x /usr/local/bin/cog

# Install docker
sudo apt install docker-ce
sudo usermod -aG docker $USER

lucataco

from cog import BasePredictor, Input, Path
import os
import torch
import time
from diffusers import (DDIMScheduler, 
    DiffusionPipeline,
    DPMSolverMultistepScheduler,
    EulerAncestralDiscreteScheduler, 
    EulerDiscreteScheduler,
    HeunDiscreteScheduler, 

lucataco

import io
import time
import json
import base64
import requests
from PIL import Image
# Start SDXL locally:
# docker run -d -p 5000:5000 --gpus=all r8.im/stability-ai/sdxl@sha256:39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b

url = "http://localhost:5000/predictions"

lucataco

import io
import time
import json
import base64
import requests

# Start SDXL locally:
# docker run -d -p 5000:5000 --gpus=all r8.im/stability-ai/stable-video-diffusion@sha256:3f0457e4619daac51203dedb472816fd4af51f3149fa7a9e0b5ffcf1b8172438