How to show images in colab

[Woundrite]

While following through the examples, I started having a problem.

from dalle_pytorch import DiscreteVAE, DALLE

vae = DiscreteVAE(
    image_size = 256,
    num_layers = 3,
    num_tokens = 8192,
    codebook_dim = 1024,
    hidden_dim = 64,
    num_resnet_blocks = 1,
    temperature = 0.9
)

dalle = DALLE(
    dim = 1024,
    vae = vae,
    num_text_tokens = 10000,
    text_seq_len = 256,
    depth = 12,
    heads = 16,
    dim_head = 64,
    attn_dropout = 0.1,
    ff_dropout = 0.1
)

text = torch.randint(0, 10000, (4, 256))
images = torch.randn(4, 3, 256, 256)

loss = dalle(
    text,
    images,
    return_loss = True,
    null_cond_prob = 0.2  # firstly, set this to the probability of dropping out the condition, 20% is recommended as a default
)

loss.backward()

# do the above for a long time with a lot of data ... then

images = dalle.generate_images(
    text,
    cond_scale = 3. # secondly, set this to a value greater than 1 to increase the conditioning beyond average
)

images.shape # (4, 3, 256, 256)

While going through this example I noticed that the images is a tensor so i tried to convert it to an image, but i don't seem to be able to do it. Any ideas?

[jamesthesnake]

Could you save it to a folder and have it displayed there?