KosmosG
My implementation of the model KosmosG from "KOSMOS-G: Generating Images in Context with Multimodal Large Language Models"
Installation
pip install kosmosg
Usage
import torch
from kosmosg.main import KosmosG
# usage
img = torch.randn(1, 3, 256, 256)
text = torch.randint(0, 20000, (1, 1024))
model = KosmosG()
output = model(img, text)
print(output)
Architecture
text, image => KosmosG => text tokens with multi modality understanding
License
MIT
Todo
- Create Aligner in pytorch
- Create Diffusion module
- Integrate these pieces
- Create a training script
Metadata
Release files for kosmosg 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 | |
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| kosmosg-0.0.4.tar.gz | 4.7 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kosmosg-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.5 kB
Release files / kosmosg-0.0.4.tar.gz
| Download URL | kosmosg-0.0.4.tar.gz |
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| Size | 4.7 kB |
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Release files / kosmosg-0.0.4-py3-none-any.whl
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| Size | 4.8 kB |
| Tags | Python 3 |
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