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Using Low-rank adaptation to quickly fine-tune diffusion models.

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Right now, if we save_pretrained with the unet modifed for lora training, diffusion pipeline will refuse to load the unet later because of some "Linear" values. Is there a way...

First of all, congrats on the great work! I got this error in the middle of training on T4 in a colab: ``` ***** Running training ***** Num examples =...

I got this error: `EntryNotFoundError(f"404 Client Error: Entry Not Found for url: {response.url}") transformers.utils.hub.EntryNotFoundError: 404 Client Error: Entry Not Found for url: https://huggingface.co/stabilityai/stable-diffusion-2-1-base/resolve/main/config.json ` I have manually confirmed that the...

your calculation of time is based on steps, but you need to multiply steps times accumulations to get the correct eta estimate, so currently accumulation 2, and steps 1000, it...

would be nice to specify a checkpoint being generated ever 100 or 200 or whatever steps

I seem to be one of the few to get it working here are some thoughts and issues 1) might require bleeding edge diffusers and transformers and accelerate - i...

as seen here, (example outputs included) https://twitter.com/MushroomFleet/status/1602341447952437249 and below (just the merge experiments) What are your advised Training settings? I did use a bunch that i used in other Dreambooth...

question

Hello, I am getting much better results using the `--train_text_encoder` flag with the Dreambooth script. However, the actual outputed LoRa `.pt` files from models trained with `train_text_encoder` gives very bad...

hi, do you think you could take a look if it would be possible to train depth2image models with lora?

enhancement

Running with gradient checkpointing prevents LoRA weight updates. > Description: Ubuntu 18.04.6 LTS > diffusers==0.10.2 > lora-diffusion==0.0.3 > torchvision @ https://download.pytorch.org/whl/cu116/torchvision-0.14.0%2Bcu116-cp38-cp38-linux_x86_64.whl > transformers==4.25.1 > xformers @ https://github.com/brian6091/xformers-wheels/releases/download/0.0.15.dev0%2B4c06c79/xformers-0.0.15.dev0+4c06c79.d20221205-cp38-cp38-linux_x86_64.whl > > `Accelerate`...

bug