Comments (2)
0:00:02 - Introducing Stable Diffusion: Text to Image Model.
0:01:18 - Creating a virtual environment and installing dependencies.
0:02:42 - Importing pre-built Bento model with curl.
0:04:21 - Configuring custom Runner for Stable Diffusion.
0:05:44 - Using Stable Diffusion to Generate Images with Text.
0:07:05 - Specify hardware and resources for Runner.
0:08:22 - Creating a Runner for ML predictions.
0:09:47 - Pre-processing image and text inputs.
0:11:06 - Specify fields, directories, and Cuda version.
0:12:25 - Deploying Bento ml service with Bento CTL.
0:13:59 - Deploying Bento CTL to AWS and more.
0:15:28 - Installing Bento CTL and Terraform for AWS deployment.
0:17:13 - Building and deploying Docker to EC2.
0:18:52 - Launching EC2 machine for stable diffusion.
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Updated timecodes. Thanks!
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Related Issues (20)
- Update 2022 cohorts page to include Week 04 Homeword HOT 2
- notes correction in 06 Decision Trees... HOT 4
- Timecodes for "ML Zoomcamp 7.1 - Intro/Session Overview" HOT 2
- Timecodes for "ML Zoomcamp 7.2 - Building Your Prediction Service with BentoML" HOT 2
- Timecodes for "ML Zoomcamp 7.3 - Deploying Your Prediction Service" HOT 2
- Timecodes for "ML Zoomcamp 7.4 - Sending, Receiving and Validating Data" HOT 2
- Timecodes for "ML Zoomcamp 7.5 - High-Performance Serving" HOT 2
- Timecodes for "ML Zoomcamp 7.6 - Bento Production Deployment" HOT 2
- Timecodes for "ML Zoomcamp 7.8 - Summary" HOT 2
- HTTP ERROR 503 on elastic beanstalk after deployment.
- missing data-text.csv file HOT 1
- Deploying machine learning models (chapter 5, page 176) : Error using Elastic Beanstalk locally HOT 1
- link is broken for [Tweet about it](https://ctt.ac/XZ6b9) HOT 1
- Week 9 - Serverless. Link location has been moved. HOT 1
- Machine learning HOT 2
- Update week8 Homework.md with 2023 cohort link HOT 1
- Week10 - There is no homework for 2023 year HOT 1
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