DreamBooth training in under 8 GB VRAM and textual inversion under 6 GB

• diffusers

  105 1,873 7.0 Python

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

After about 10 minutes of doing something, crashed with CUDA errors. Does it mean about 100 generated pictures were done with CPU? GPU VRAM usage was at ~10G. I received the same error, but without the first part (10 minutes of working on something) when used this fork (https://github.com/ShivamShrirao/diffusers/tree/main/examples/dreambooth).

• diffusers

  4 50 0.0

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

Dreambooth training repository: https://github.com/Ttl/diffusers/tree/dreambooth_deepspeed

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• diffusers

  266 22,881 9.9 Python

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

  

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