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G-diffuser-lib Alternatives
Similar projects and alternatives to g-diffuser-lib
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diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
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WaveFunctionCollapse
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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g-diffuser-bot
Discontinued Experimental utilities, extensions, and frontend interfaces for the diffusers library (stable-diffusion) [Moved to: https://github.com/parlance-zz/g-diffuser-lib]
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better g-diffuser-lib alternative or higher similarity.
g-diffuser-lib reviews and mentions
Posts with mentions or reviews of g-diffuser-lib.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-30.
- Will Stable Diffusion ever gain a better inpainting feature on par with Dalle, or is this a fundamental difference?
- Ultra-high resolution (4900x800) generation in 1 step, 3GB memory, no manual editing, pure stable-diffusion
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Playing with Unreal Engine integration for players to create content in-game
Unreal is good too, but for those who might prefer python: https://github.com/parlance-zz/g-diffuser-lib/discussions/46 https://github.com/parlance-zz/g-diffuser-lib
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New g-diffuser-lib for easy-to-use diffusers
Installation: 1) clone this repository to a folder of your choice (or click the green "code" button up top and click "download zip") 2) download / install miniconda (https://docs.conda.io/en/latest/miniconda.html) 3) open a conda prompt (click on the start menu and look for "anaconda prompt"), then navigate to the folder where you cloned / downloaded this repository. 4) run "conda env create -f environment.yaml" 5) place any pre-downloaded models into the models folder, if you want to use a hugging-face token instead, enter it in g_diffuser_config.py for specific instructions on model download / installation please see models/README.md (https://github.com/parlance-zz/g-diffuser-lib/tree/g-diffuser-bot-beta2/models) 6) If you are running Windows 10 you may need to turn on "developer mode". Look for "developer settings" in the start menu.
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A note from our sponsor - SaaSHub
www.saashub.com | 26 Apr 2024
Stats
Basic g-diffuser-lib repo stats
7
156
9.8
over 1 year ago
parlance-zz/g-diffuser-lib is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of g-diffuser-lib is Python.
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