A developer guide to use Stable Diffusion text-to-image AI model in python
Prodramp
Stable Diffusion text-to-image open-source AI model is under development, however early release version is available for anyone to try. This hands-on technical tutorial is for anyone who would want to try Stable Diffusion AI model either on local machine or in Google colab environment.
GitHub Resources:
ā¬ā¬ā¬ā¬ā¬ā¬ ā° TUTORIAL TIME STAMPS ā° ā¬ā¬ā¬ā¬ā¬ā¬
- (00:00) Video Starts
- (00:28) What is covered?
- (02:35) Stable Diffusion Model GitHub
- (04:30) Stable Diffusion Hugging Face
- (05:01) DreamStudio Beta
- (05:40) MidJourney comparison
- (07:20) Colab Environment Setup
- (08:40) Diffusion Transformers Pipeline
- (11:10) Downloading Model
- (12:55) Setting Text Input
- (15:30) First Model Testing
- (15:46) Checking Results
- (16:40) Gradio App Setup
- (19:30) Gradio App Test
- (20:20) GitHub Resources
Connect
- Prodramp By Avkash (@prodramp)
- Website - https://prodramp.com
- LinkedIn - https://www.linkedin.com/company/prodramp
- GitHub- https://github.com/prodramp/
- AngelList - https://angel.co/company/prodramp
- Facebook - https://www.facebook.com/Prodramp
Content Creator: Avkash Chauhan (@avkashchauhan)
Tags: #stablediffusion #pytorch #tensorflow #lime #aicloud #h2oai #driverlessai #machinelearning #cloud #mlops #model #collaboration #deeplearning #modelserving #modeldeployment #pytorch #datarobot #datahub #streamlit #modeltesting #codeartifact #dataartifact #modelartifact #onnx #aws #kaggle #mapbox #lightgbm #xgboost #classification #dataengineering #pandas #keras #tensorflow #tensorboard #cnn #prodramp #avkashchauhan ... https://www.youtube.com/watch?v=oDAVk8QFnWg
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