How to get the smallest models or portions of Dreambooth-trained models for a specific subject

• lora

  83 6,650 0.0 Jupyter Notebook

  Using Low-rank adaptation to quickly fine-tune diffusion models. (by cloneofsimo)

You might find a method called LoRA interesting for reducing size. Can be applied to approximate a full Dreambooth-style training. See this discussion for more details: https://github.com/cloneofsimo/lora/discussions/37

• diffusers

  266 22,881 9.9 Python

  🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

  

Hi, I want to finetune Stable diffusion using the diffusers' dreambooth example for multiple subjects (each subject with its own model).

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• custom-diffusion

  11 1,787 5.6 Python

  Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

  

Adobe Research also has "Custom Diffusion" out: https://github.com/adobe-research/custom-diffusion. It's got a similar goal of ~megabytes sized outputs. Warning that it's got a proprietary license.

Suggest a related project