Who is Anzhcs VAEs for?

Anzhcs VAEs is an open-source project built for AI developers and researchers.

Does Anzhcs VAEs have a free plan?

Yes — Anzhcs VAEs is open source under the Open Source license and free to use.

What platforms does Anzhcs VAEs run on?

Anzhcs VAEs runs on the web, the command line, and API.

Is Anzhcs VAEs still maintained?

Unverified. Anzhcs VAEs has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What are alternatives to Anzhcs VAEs?

Similar projects tracked by PulseGate include Mixture Of Diffusers, DGS Diffusion Space, and AI Wallpaper Generator.

Who makes Anzhcs VAEs?

Anzhcs VAEs is developed by Anzhc.

How long has Anzhcs VAEs been around?

Anzhcs VAEs first shipped in 2023.

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Anzhcs VAEs

Name: Anzhcs VAEs
Author: Anzhc

huggingface.coInfrastructure

Anzhcs-VAEs provides fine-tuned Variational Autoencoders compatible with the Diffusers library. It is based on stabilityai/sdxl-vae and is designed for use in image generation pipelines. The model can be loaded via a simple pip install and pipeline initialization for local inference on CUDA or MPS devices.

Open SourceWebCLIAPI

Visit huggingface.co

Overview

3 features

In the Image generation space, Anzhcs VAEs takes a focused approach. It focuses on running high-quality latent space image generation models locally without proprietary APIs. Anzhcs VAEs is an open-source project aimed at AI developers and researchers. The project is open source (Open Source). It ships for the web, the command line, and API.

It is developed by Anzhc, and it first shipped in 2023. Among its 3 catalogued features are diffusers integration, image generation, and VAE fine-tuning.

Summary written by a language model from the project’s public pages.

Diffusers integration
Image generation
VAE fine-tuning

Built with & integrations

Hosting

AWS

Runs on

BrowserCLIAPI-only

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header

Trust & compliance

License

Open Source

Verified signals

HTTPSPrivacy Policy Terms of ServiceOpen Source

Legal

Indexing history

What PulseGate has recorded for this listing

Indexed19 Jul · 20:19 UTC
Anzhc/Anzhcs-VAEs verified against its public source
Source: PulseGate · Open

Frequently asked questions about Anzhcs VAEs

What is Anzhcs VAEs?: Anzhcs VAEs focuses on running high-quality latent space image generation models locally without proprietary APIs. It is catalogued under Image generation on PulseGate.
Who is Anzhcs VAEs for?: Anzhcs VAEs is an open-source project built for AI developers and researchers.
Does Anzhcs VAEs have a free plan?: Yes — Anzhcs VAEs is open source under the Open Source license and free to use.
What platforms does Anzhcs VAEs run on?: Anzhcs VAEs runs on the web, the command line, and API.
Is Anzhcs VAEs still maintained?: Unverified. Anzhcs VAEs has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to Anzhcs VAEs?: Similar projects tracked by PulseGate include Mixture Of Diffusers, DGS Diffusion Space, and AI Wallpaper Generator.Mixture Of Diffusers DGS Diffusion Space AI Wallpaper Generator
Who makes Anzhcs VAEs?: Anzhcs VAEs is developed by Anzhc.
How long has Anzhcs VAEs been around?: Anzhcs VAEs first shipped in 2023.

At a glance

Pricing: Open Source
Platforms: Cli · Web
Languages: English
License: Open Source
Built for: AI developers and researchers
Model: Open source
Solves: Running high-quality latent space image generation models locally without proprietary APIs.

Registered as

Hugging Face: Anzhc/Anzhcs-VAEs

Developer

Anzhc

Live coverage

Identity confidence: Medium · 70.4
Indexed: 19 Jul 2026
Lifecycle: Unverified
Last seen: 19 Jul 2026

Identity audit (12)

Slug: anzhc-anzhcs-vaes-huggingface-co
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 19 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Derived from the model's own Hugging Face metadata.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 5 Aug 2026
Canonical URL: https://huggingface.co/Anzhc/Anzhcs-VAEs

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