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docker pull ghcr.io/lllyasviel/fooocus:latest | |
docker tag ghcr.io/lllyasviel/fooocus:latest us-central1-docker.pkg.dev/steren-serverless/containers/fooocus:latest | |
docker push us-central1-docker.pkg.dev/steren-serverless/containers/fooocus:latest | |
gcloud alpha run deploy fooocus --image us-central1-docker.pkg.dev/steren-serverless/containers/fooocus --region us-central1 --gpu 1 --gpu-type nvidia-l4 --cpu 8 --memory 32Gi --no-cpu-throttling --max-instances 5 --set-env-vars CMDARGS=" --listen --port=8080" --allow-unauthenticated --execution-environment gen2 | |
# Doesn't work with GCS mount: | |
# --add-volume name=gcs,type=cloud-storage,bucket=steren-fooocus --add-volume-mount volume=gcs,mount-path=/content/data |
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FROM ubuntu:22.04 | |
RUN apt update -q && apt install -y ca-certificates wget | |
RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb | |
RUN dpkg -i cuda-keyring_1.1-1_all.deb | |
RUN apt-get update && apt-get -y install cuda | |
# Update this to the URL pointing at the llamafile you want to run. | |
# Find other models at https://github.com/Mozilla-Ocho/llamafile?tab=readme-ov-file#other-example-llamafiles | |
ENV LLAMAFILE_DOWNLOAD_URL="https://huggingface.co/jartine/Mistral-7B-Instruct-v0.2-llamafile/resolve/main/mistral-7b-instruct-v0.2.Q4_0.llamafile?download=true" |
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# Use official Huggingface TGI image (See https://huggingface.co/docs/text-generation-inference/en/quicktour) | |
FROM ghcr.io/huggingface/text-generation-inference:1.4 | |
# Model to use. Customize with docker build --build-arg MODEL_HUB_ID=your model . | |
ARG MODEL_HUB_ID=tiiuae/falcon-7b-instruct | |
# Port to listen to | |
ARG PORT=8080 | |
# Download model | |
RUN text-generation-server download-weights $MODEL_HUB_ID |
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server { | |
listen 8080; | |
server_name _; | |
gzip on; | |
location / { | |
proxy_pass http://127.0.0.1:8888; | |
} | |
} |
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const {Firestore} = require('@google-cloud/firestore'); | |
const firestore = new Firestore(); | |
exports.helloWorld = async (req, res) => { | |
const document = firestore.doc('users/steren'); | |
const doc = await document.get(); | |
console.log('Read the document'); | |
res.status(200).send('Hey'); | |
}; |
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#!/bin/bash | |
# Set up Firebase Hosting in front of a Cloud Run service, without using the firebase CLI | |
# The following commands must be installed: | |
# - gcloud | |
# - curl | |
# - jq | |
# Update these variables | |
PROJECT_ID="enable-fb-hosting" # Make sure you have enabled Firebase on this Google Cloud project |
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package main | |
import ( | |
//"bytes" | |
//"io/ioutil" | |
"fmt" | |
"io" | |
"log" | |
"net/http" | |
"os" |
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steps: | |
- name: 'jrottenberg/ffmpeg' | |
args: ['-i', 'input.mp4', 'output.avi'] | |
artifacts: | |
objects: | |
location: 'gs://steren-test-oneshot/' | |
paths: ['output.avi'] |
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