ClipExtractor
This is a Python package for easy to the ai art prompts extracting by using clip models to getting image captioning .to get some information for any artworks, portrait, art name, art movement, Model, medium, Artist, Trending, or Flavors. special thanks to best friend @pharmapsychotic for his open source code, I converted it to a simple python package for easy use for users only using three steps.
Installation
pip install ClipExtractor==0.0.2
or in colab google cloud
!pip install ClipExtractor==0.0.2
Tutorial
u can see tutorial in colab google drive
1 maintainer
Metadata
1 maintainer
Release files for ClipExtractor 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ClipExtractor-0.0.2.tar.gz | 4.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ClipExtractor-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.6 kB
Release files / ClipExtractor-0.0.2.tar.gz
| Download URL | ClipExtractor-0.0.2.tar.gz |
|---|---|
| Size | 4.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.7.0
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Release files / ClipExtractor-0.0.2-py3-none-any.whl
| Download URL | ClipExtractor-0.0.2-py3-none-any.whl |
|---|---|
| Size | 4.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
662443007e640ca280cdeac39c1743d3d64e692ffdc65a3d03337c72676c6f93
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.7.0
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