-
These two notebooks cover the process of fine-tuning StableDiffusion to a personal dataset.
-
The Huggingface Diffusers documentation doesn't show how to fine-tune the model provided by Diffusers, only how to use a pre-written script file for fine-tuning.
-
There are some good tutorials based on keras, but it's hard to find a tutorial based on pytorch that shows how to code and fine-tune from scratch.
-
The train_text_to_image[_lora].py provided by Diffusers has too much code that is not necessary for a learner who just wants to quickly grasp the logic, so it is necessary to organize it into a sequential notebook file.
-
For that reason, this notebook breaks down train_text_to_image[_lora].py and describes how to quickly full-fine-tune a stable diffusion with minimal code required.
-
Notifications
You must be signed in to change notification settings - Fork 2
metamath1/pytorch-stable-diffusion-fine-tuning
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
No description, website, or topics provided.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published