textual_inversion | repo contains the official code

by rinongal Jupyter Notebook Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | textual_inversion Summary

textual_inversion is a Jupyter Notebook library. textual_inversion has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

This repo contains the official code, data and sample inversions for our Textual Inversion paper.

Support

Quality

Security

License

Reuse

Support

textual_inversion has a medium active ecosystem.

It has 2398 star(s) with 246 fork(s). There are 53 watchers for this library.

It had no major release in the last 6 months.

There are 26 open issues and 114 have been closed. On average issues are closed in 20 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of textual_inversion is current.

Quality

textual_inversion has no bugs reported.

Security

textual_inversion has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

textual_inversion is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

textual_inversion releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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textual_inversion Key Features

No Key Features are available at this moment for textual_inversion.

textual_inversion Examples and Code Snippets

No Code Snippets are available at this moment for textual_inversion.

Community Discussions

No Community Discussions are available at this moment for textual_inversion.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install textual_inversion

Our code builds on, and shares requirements with Latent Diffusion Models (LDM). To set up their environment, please run:. You will also need the official LDM text-to-image checkpoint, available through the LDM project page.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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