Train Your Own LORA Model for Video-Making | A1111 Dreambooth Extension | 6GB VRAM

Timestamped Summary

• 💻
  00:00

  Installing Laura requires setting a custom requirements file and environment variable to skip install, and merging a 6MB file with another checkpoint to create a 2.6GB checkpoint.
• 🤖
  02:15

  Using Dreambooth with minimal settings and 8-bit Adam can reduce VRAM usage to 5GB and achieve a 0.244 loss in 20 minutes.
• 🤖
  05:08

  Create a model with the desired settings, and use a concept list and Laura for stable diffusion 2.1 with a resolution of 768.
• 🤖
  08:32

  Set up Dream Booth with fp16, memory attention xformers, cached latents, text encoder, and data set directory for 10 images with corresponding text files, and optionally specify a directory for classification data set.
• 🤖
  10:50

  Train your own Laura model to generate images with various options and parameters.
• 🤖
  14:17

  EMA model successfully generated a variety of different prompts with realistic results, showing no significant difference in quality when using EMA with the checkpoint on or off.
• 🤔
  18:03

  Impressionist art style painting preserves features from the concepts with low vram, but is not preferred.
• 🤔
  20:25

  Decide which version of the video-making model works best for you - the original, EMA, or Laura.