Training and Using Embedded Models in Stable Diffusion

In this video, we dive into embedded textual inversion training with Stable Diffusion. I'll use images of myself to train the embedding and generate my image within Stable Diffusion. This beginner-friendly tutorial covers:
- Configuring the web UI file and passing the correct arguments.
- Downloading and installing the Stable Diffusion 1.5 Prune Safe Tensor dataset.
- Editing the textual inversion file and preparing images.
- Using Birme to resize photos to 512 x 512 pixels.
- Creating the embedding and setting vectors per token to 12.
- Selecting the embedding and prompt template.
- Training the model and reviewing initial results.
- Testing the model with different scenarios in Stable Diffusion.
Links in video:
Command Line Arguments and Settings: github.com/AUTOMATIC1111/stab...
Stable Diffusion 1.5 Prune Safe Tensor: huggingface.co/runwayml/stabl...
Birme: www.birme.net
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CHAPTERS
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00:00 Intro
00:31 Web-UI Settings
01:45 Download Training Model
02:38 Place Safe Tensor File in Folder
03:11 Edit Textual Inversion File
04:53 Prepare Images
05:43 Birme
06:38 Create the Embedding
08:12 Set Training Fields
11:17 First Training Image
12:00 Testing different models
14:42 Like and Subscribe