Dreambooth in 11GB of VRAM

1. efficient-dreambooth

   1 9 45 10.0 Dockerfile

   Discontinued [Moved to: https://github.com/smy20011/dreambooth-docker]

2. CodeRabbit

   coderabbit.ai featured

   CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

   

3. diffusers

   2 105 1,889 7.0 Python

   🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch (by ShivamShrirao)

   

   In anaconda with Admin Permission I did: git clone https://github.com/ShivamShrirao/diffusers then ran conda install -c conda-forge diffusers (said yes)

4. stable-dreambooth-optimized

   3 3 13 10.0

   Dreambooth implementation based on Stable Diffusion with minimal code.

   

5. memory_efficient_dreambooth

   4 2 54 10.0 Python

   

   This is my repository with the updated source and a sample launcher: https://github.com/matteoserva/memory_efficient_dreambooth

6. fast-stable-diffusion

   5 239 7,717 8.1 Python

   fast-stable-diffusion + DreamBooth

   

   implemented here https://github.com/TheLastBen/fast-stable-diffusion , 800 steps in less than 13 minutes, 2000 steps in 30 minutes

7. Dreambooth-Stable-Diffusion-cpu

   6 6 13 10.0 Jupyter Notebook

   Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

   

   This https://github.com/andreae293/Dreambooth-Stable-Diffusion-cpu I believe should produce as ckpt file. You're probably testing the CPU on the hugging face version.

8. Dreambooth-Stable-Diffusion

   7 100 3,213 6.8 Jupyter Notebook

   Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles. (by JoePenna)

   

9. InfluxDB

   influxdata.com featured

   InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.

   

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