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Open-weight model · Text to image

mega-liminal-lora

by AbstractPhila AbstractPhil/mega-liminal-lora

mega-liminal-lora is an open-weight model for text to image from AbstractPhila, released under other. Its published files total 1.9 GB.

A LoRA for liminal spaces: empty malls, fog-bound roads, parking garages, suburbs at night, vacant theatres and hallways. It was trained on the 1,873 curated and captioned images of the Status: training (started 2026-09-26 00:14 UTC).

Parameters—
Context—
Weights1.9 GB
Licenseother
AccessOpen weights
Monthly Downloads—

Model Card

A LoRA for liminal spaces: empty malls, fog-bound roads, parking garages, suburbs at night, vacant theatres and hallways. It was trained on the 1,873 curated and captioned images of the Status: training (started 2026-09-26 00:14 UTC). A new file lands every 2 epochs. Sample images come when the run finishes. The folders are / /. 1. Get the Anima base files from circlestone-labs/Anima splitfiles/: anima-base-v1.0.safetensors (diffusionmodels), qwen306bbase.safetensors (textencoders) and qwenimagevae.safetensors (vae). 2. Put the LoRA file in models/loras and load it with LoraLoaderModelOnly at strength 1.0. 3. Sample around 1 megapixel (1024x1024, or anything from 1:2 to 2:1) with 30-50…

Excerpt from the card by AbstractPhila, licensed other.

Identity and Version

Repository
AbstractPhil/mega-liminal-lora
Publisher
AbstractPhila
Task
Text to image
Modality
Image
Library
Not stated by the source
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
476c6a4658189393871fe84f8d9448004cc0df07
First published
2026-09-26
Last updated
2026-09-26

Files and Weights

13 files, 1.9 GB in total. The weights are 7 files totalling 1.9 GB in safetensors.

Weights7 files · 1.9 GB
Configuration1 file · 1.4 KB
Documentation1 file · 4.4 KB
Other3 files · 243.8 KB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
anima/rank64/mega-liminal-anima-r64-e02.safetensorsWeights277.2 MB db7b813cd867
anima/rank64/mega-liminal-anima-r64-e04.safetensorsWeights277.2 MB 8a9c4d9e0f64
anima/rank64/mega-liminal-anima-r64-e06.safetensorsWeights277.2 MB 0aa6810bf91f
anima/rank64/mega-liminal-anima-r64-e08.safetensorsWeights277.2 MB 7758710fbe97
anima/rank64/mega-liminal-anima-r64-e10.safetensorsWeights277.2 MB 2a942e2ea6e0
anima/rank64/mega-liminal-anima-r64-e12.safetensorsWeights277.2 MB 27f8d665faa9
anima/rank64/mega-liminal-anima-r64-e14.safetensorsWeights277.2 MB 6d1966f92aa6
anima/rank64/adapter_config.jsonConfiguration1.4 KB —
README.mdDocumentation4.4 KB —
anima/rank64/training/liminal_dataset.tomlOther2.4 KB —
anima/rank64/training/liminal_lora.tomlOther1.9 KB —
anima/rank64/training/runs/events.out.tfevents.1790381639.30ed19890bfc.67782.0Other239.4 KB cd9228c5d98d
.gitattributesRepository1.5 KB —

License and Download

License
other
Access
Open weights, no gate
Download size
1.9 GB
Download from AbstractPhila

Released by AbstractPhila through its official repository on Hugging Face. Read the license.

Built From

Memory Requirements

PrecisionWeights in memory
As published1.9 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About mega-liminal-lora

What license is mega-liminal-lora released under?

other, as its publisher declares it. Read the license text before commercial use.

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