sdkit

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2.0.20.4 sdkit-2.0.20.4-py3-none-any.whl

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Project: sdkit
Version: 2.0.20.4
Filename: sdkit-2.0.20.4-py3-none-any.whl
Download: [link]
Size: 128695
MD5: d1f0a79ad0ad1f031f0467ca6013ec89
SHA256: 83f5d13c3dd6db0cea0c494772b3e090ff341acbb34d120057c0cb711dc6a57c
Uploaded: 2024-06-11 12:49:36 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: sdkit
Version: 2.0.20.4
Summary: sdkit (stable diffusion kit) is an easy-to-use library for using Stable Diffusion in your AI Art projects. It is fast, feature-packed, and memory-efficient. It bundles Stable Diffusion along with commonly-used features (like SDXL, ControlNet, LoRA, Embeddings, GFPGAN, RealESRGAN, k-samplers, custom VAE etc). It also includes a model-downloader with a database of commonly used models, and advanced features like running in parallel on multiple GPUs, auto-scanning for malicious models etc.
Author-Email: cmdr2 <secondary.cmdr2[at]gmail.com>
Project-Url: Homepage, https://github.com/easydiffusion/sdkit
Project-Url: Bug Tracker, https://github.com/easydiffusion/sdkit/issues
Keywords: stable diffusion,ai,art
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: Operating System :: Microsoft :: Windows :: Windows 11
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Requires-Python: >=3.8.5
Requires-Dist: setuptools (==69.5.1)
Requires-Dist: stable-diffusion-sdkit (==2.1.5)
Requires-Dist: gfpgan
Requires-Dist: piexif
Requires-Dist: realesrgan
Requires-Dist: requests
Requires-Dist: picklescan
Requires-Dist: safetensors (==0.3.3)
Requires-Dist: k-diffusion (==0.0.12)
Requires-Dist: diffusers (==0.28.2)
Requires-Dist: compel (==2.0.1)
Requires-Dist: accelerate (==0.23.0)
Requires-Dist: controlnet-aux (==0.0.6)
Requires-Dist: invisible-watermark (==0.2.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 9495 characters]

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sdkit