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
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| lumiere-0.0.4.tar.gz | 4.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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 |
|---|---|
| Size | 4.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
06ab58c915a2ebe3326f83d88ad4abf09be0580f884d0766ca6596ca508ccd77
|
|
BLAKE2b-256 checksum How to use checksums |
cbce5d56fea708bf4e1b42bf79613684d3db2ef53f06820d87c41828d16c1b9e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.11.0 Darwin/22.4.0
|
Release files / lumiere-0.0.4-py3-none-any.whl
| Download URL | lumiere-0.0.4-py3-none-any.whl |
|---|---|
| Size | 4.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a59a84a9f5d0bffe8c226de5266e2ab8ee49df03fe7f46e1e405519aaf3c5403
|
|
BLAKE2b-256 checksum How to use checksums |
1d5bb098ba8806007b5e923a5910209bf3466da76dc5990b461bd47a67dbe0c4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.2 CPython/3.11.0 Darwin/22.4.0
|
Security for lumiere 0.0.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
