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Spacer Cockpits, Hopper Bunks & Lived-in Space Winnebago Interiors (SDXL)

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fp16 SafeTensor

jsolarum_interior_cabins_xl_v1.safetensors

Half precision, best balance • 162.65 MB

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Type
LoRA
Stats

12

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Reviews
Published

Sep 9, 2026

Base Model

SDXL 1.0

Hash
AutoV2
649622A502
Trigger Words
jsolarum_interior_cabins
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Followers - 44

44

Likes - 163

163

01_hopper_cockpit_magnetic_cups.png

> Solarum Interior Cabins XL brings the tangible tactile warmth of lived-in spacer architecture to SDXL.

>

> Rather than cold, sterile white sci-fi corridors, this model embodies the "Space Winnebago" design ethos: magnetic coffee mugs clamped to steel consoles, bungee cords securing cargo crates, analog Nixie dials, cozy wool-blanket bunks, grease-stained electronics workbenches, and windshields opening onto the black void of Saturn.

>

> Trained on 200 high-resolution generations harvested from Google Flow and grounded directly in Solarum's Dawnhewn Hopper canon.

>

> ### 🪟 Visual Registers Explored:

> - Hopper Cockpits & Navigation Bridges: Worn leather pilot seats, taped switch labels, toggle boards, monospace green-phosphor CRT telemetry monitors, analog brass calipers, and panoramic forward windshields looking out at ringed planets.

> - Lived-In Spacer Quarters & Bunks: Cozy sleeping berths tucked into structural ribs, clipped magnetic reading lamps, well-thumbed science fiction paperbacks, patchwork quilts, and privacy curtains.

> - Galleys, Mess Halls & Domestic Hearth: Compact stainless-steel galley stoves with dented copper kettles, magnetic spice racks, bolted mess tables with tin plates, and hanging fruit wire baskets.

> - Workshops, Engine Crawlways & Maintenance: Electronics repair stations with smoking soldering irons, machine vises, lead-acid & lithium battery banks with copper busbars, and cable bundles secured with zip-ties.

> - Airlocks, Storage & Spacer Hygiene: Heavy yellow pressure doors with circular viewports, rubberized magnetic boots racked on bulkheads, hanging Chrysalis vacuum suits, and compact water filtration bays.

>

> ### ⚙️ Training Specifications:

> - Dataset: 200 curated images paired with exact descriptive semantic captions.

> - Base Model: Juggernaut XL v9 (SDXL 1.0)

> - Network: Kohya SS sdxl_train_network.py (AdamW8bit, dim=32, alpha=16, cosine scheduler, 10 epochs).

> - Primary Trigger: jsolarum_interior_cabins

- Trigger Words: jsolarum_interior_cabins

- Recommended Strength: 0.650.85 (Default: 0.75)