Comments (3)
Hey there,
as visible in the 4th cell of the colab notebook, you can download the model that was finetuned with 50.000 steps with:
!curl -L -s -o ./model_50000_img.pt 'https://drive.google.com/uc?id=1VVWPXFLdI18TXhqlYmfMNT41Suz9pJr8&confirm=t' # Finetuned Image-Model
Best regards,
Marc
from paella.
Oh sorry I missed that.
Thank you for the fast reply.
from paella.
Hey there,
as visible in the 4th cell of the colab notebook, you can download the model that was finetuned with 50.000 steps with:
!curl -L -s -o ./model_50000_img.pt 'https://drive.google.com/uc?id=1VVWPXFLdI18TXhqlYmfMNT41Suz9pJr8&confirm=t' # Finetuned Image-Model
Best regards,
Marc
This checkpoint is not aligned with the Paella model I guess we have other ones?
from paella.
Related Issues (20)
- How much ram is needed on cpu? HOT 2
- Removing dependency on ruDALLE? HOT 1
- would video coming soon? HOT 1
- paella_sampling.ipynb Gdown downloads dont work HOT 1
- Add Paellaaa to community section HOT 2
- Typo in Paper HOT 1
- Reproducibility of results HOT 1
- Easy to finetune for Img2Img?
- Recommended dataset size for finetuning?
- Dataset for finetuning
- Invalid link in readme
- Possibility to use with byt5-small ? HOT 6
- Will higher resolution model weight release? HOT 1
- Can paella perform well on class-conditioned image generation training on ImageNet? HOT 2
- Could you provide the evaluation code?
- Is this a bug or I missed something? HOT 2
- Distributed code cannot run HOT 3
- Key error "state_dict" while loading vqgan model
- grad exposure
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from paella.