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TheoCoombes avatar TheoCoombes commented on May 20, 2024

The following code worked to load the Prior from Huggingface, just using the stock default hparams:

from dalle2_pytorch import DiffusionPrior, DiffusionPriorNetwork
import torch

device = "cuda:0"
state_dict = torch.load("model.pth")

prior_network = DiffusionPriorNetwork( 
    dim=768,
    depth=6, 
    dim_head=64, 
    heads=8
).to(device)

diffusion_prior = DiffusionPrior( 
    net=prior_network,
    clip=None, 
    image_embed_dim=768, 
    timesteps=100,
    cond_drop_prob=0.2, 
    loss_type="l2", 
    condition_on_text_encodings=False
).to(device)

diffusion_prior.load_state_dict(state_dict)

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rom1504 avatar rom1504 commented on May 20, 2024

Here's an example how to do this right:
https://github.com/lucidrains/DALLE-pytorch/blob/main/train_dalle.py#L535
https://github.com/lucidrains/DALLE-pytorch/blob/main/train_dalle.py#L301
https://github.com/lucidrains/DALLE-pytorch/blob/main/train_dalle.py#L427

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lucidrains avatar lucidrains commented on May 20, 2024

addressed here i believe https://github.com/lucidrains/DALLE2-pytorch/blob/main/dalle2_pytorch/train.py#L52

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