SDfu | Stable Diffusers for studies

by eps696 Python Version: v0.1 License: MIT

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

kandi X-RAY | SDfu Summary

SDfu is a Python library. SDfu has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Stable Diffusers for studies

Support

Quality

Security

License

Reuse

Support

SDfu has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

SDfu has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SDfu is v0.1

Quality

SDfu has no bugs reported.

Security

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

License

SDfu 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

SDfu releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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SDfu Key Features

No Key Features are available at this moment for SDfu.

SDfu Examples and Code Snippets

No Code Snippets are available at this moment for SDfu.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install SDfu

Install CUDA 11.6. Setup the Conda environment:. Install xformers library to increase performance. It makes possible to run SD in any resolution on the lower grade hardware (e.g. videocards with 6gb VRAM). If you're on Windows, first ensure that you have Visual Studio 2019 installed. Run command below to download Stable Diffusion 1.5, 1.5-inpaint, 2-inpaint, 2-depth, 2.1, 2.1-v, custom VAE, CLIPseg models (converted to float16 for faster loading). Licensing info is available on their webpages.

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 .

Find more information at: