Lumiere
Implementation of the text to video model LUMIERE from the paper: "A Space-Time Diffusion Model for Video Generation" by Google Research. I will mostly be implementing the modules from the diagram a and b in figure 4
Install
pip install lumiere
Usage
import torch
from lumiere.model import AttentionBasedInflationBlock
# B, T, H, W, D
x = torch.randn(1, 4, 224, 224, 512)
# Model
model = AttentionBasedInflationBlock(dim=512, heads=4, dropout=0.1)
# Forward pass
out = model(x)
# print
print(out.shape) # Expected shape: [1, 4, 224, 224, 3]
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for lumiere 0.0.4
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| File | Size | Uploaded | Provenance | |
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| File | Interpreter | ABI | Platform | Reset |
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| lumiere-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.0 kB
Release files / lumiere-0.0.4.tar.gz
| Download URL | lumiere-0.0.4.tar.gz |
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| Size | 4.5 kB |
| Tags | Source |
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poetry/1.3.2 CPython/3.11.0 Darwin/22.4.0
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Release files / lumiere-0.0.4-py3-none-any.whl
| Download URL | lumiere-0.0.4-py3-none-any.whl |
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| Size | 4.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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poetry/1.3.2 CPython/3.11.0 Darwin/22.4.0
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