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noema-art/fullyarmoredgirl
fullyarmoredgirl is a text-to-image model from noema-art. Use it when you need an image from a text prompt. It is set up for ai-toolkit. The card lists the license as wtfpl.
This LoRA model transforms characters into a visually striking "fullyarmoredgirl" aesthetic, featuring a deluxe, weaponized mecha suit that enhances their presence. The design emphasizes intricate armor details and ad…
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Updated Feb 4, 2026
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.safetensors172 MB · 100%
From the Hugging Face model README
This LoRA model transforms characters into a visually striking "fullyarmoredgirl" aesthetic, featuring a deluxe, weaponized mecha suit that enhances their presence. The design emphasizes intricate armor details and advanced weaponry, delivering a futuristic and powerful appearance.
Trigger word: fullyarmoredgirl
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| make her a fullyarmoredgirl with deluxe weaponized mecha sui... | make her a fullyarmoredgirl with deluxe weaponized mecha sui... |
![]() | ![]() |
| make her a fullyarmoredgirl with deluxe weaponized mecha sui... | make her a fullyarmoredgirl with deluxe weaponized mecha sui... |
.safetensors file from the Files tabComfyUI/models/loras/0.8-1.0fullyarmoredgirl in your promptimport torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained(
"black-forest-labs/FLUX.1-Kontext-dev",
torch_dtype=torch.bfloat16
)
pipe.load_lora_weights("ms2stationthis/fullyarmoredgirl")
pipe.to("cuda")
image = pipe(
prompt="fullyarmoredgirl portrait, soft lighting, detailed",
guidance_scale=3.5-4.0,
num_inference_steps=20-30,
generator=torch.Generator("cuda").manual_seed(42)
).images[0]
image.save("output.png")
| Parameter | Value |
|---|---|
| LoRA Strength | 0.8-1.0 |
| Guidance Scale | 3.5-4.0 |
| Inference Steps | 20-30 |
| Resolution | 1024x1024 |
fullyarmoredgirl portrait, soft lighting, detailedfullyarmoredgirl in a scenic environmentfullyarmoredgirlTrained using StationThis — an AI creative platform powered by $MS2. Train your own LoRAs via @stationthisbot on Telegram.
<sub>Generated by StationThis Training Pipeline</sub>