Stable Diffusion Model Re-Training in Colab
Budget: $30 – $250 USD
I'm seeking an expert in Python and machine learning, familiar with stable diffusion model re-training.
I have a job that involves updating a colab script, the end goal being to re-train a stable diffusion model with faces from different folders. The folder name needs to be the image instance name so that we can call it in the text prompt of Automatic1111. The checkpoint needs to be saved as safetensor.
Ideal candidates should have:
- Experience with collab scripts
- Understanding of handling stable diffusion models
- Proficiency in Python
- Having Automatic1111 installed and use it.
Your main deliverable will be a fully functioning colab script. If you have worked on similar projects before and have a deep understanding of how stable diffusion re-training work, then you are the person I am looking for.
Colab Script: https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb
Video Guide on how to use this script: https://www.youtube.com/watch?v=ksG_ZjEKuLA
I have a job that involves updating a colab script, the end goal being to re-train a stable diffusion model with faces from different folders. The folder name needs to be the image instance name so that we can call it in the text prompt of Automatic1111. The checkpoint needs to be saved as safetensor.
Ideal candidates should have:
- Experience with collab scripts
- Understanding of handling stable diffusion models
- Proficiency in Python
- Having Automatic1111 installed and use it.
Your main deliverable will be a fully functioning colab script. If you have worked on similar projects before and have a deep understanding of how stable diffusion re-training work, then you are the person I am looking for.
Colab Script: https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb
Video Guide on how to use this script: https://www.youtube.com/watch?v=ksG_ZjEKuLA