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noema-art/nanase
nanase 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 generates colored pencil style illustrations featuring young girls with light brown, shoulder-length hair and fair skin, often depicted in school uniforms. The visuals capture joyful expressions, with…
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Updated Mar 28, 2026
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.safetensors344 MB · 100%
From the Hugging Face model README
This LoRA model generates colored pencil style illustrations featuring young girls with light brown, shoulder-length hair and fair skin, often depicted in school uniforms. The visuals capture joyful expressions, with characters typically smiling widely with their eyes closed, adding a playful and charming aesthetic.
Trigger word: nanase
![]() | ![]() |
| nanase, This is a colored pencil drawing of a young girl wit... | nanase, This is a digital watercolor-style anime drawing of ... |
![]() | ![]() |
| nanase, This is a traditional watercolor and pencil drawing ... | nanase, This is a watercolor and ink drawing of an anime-sty... |
.safetensors file from the Files tabComfyUI/models/loras/0.8-1.0nanase in your promptimport torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained(
"black-forest-labs/FLUX.1-dev",
torch_dtype=torch.bfloat16
)
pipe.load_lora_weights("ms2stationthis/nanase")
pipe.to("cuda")
image = pipe(
prompt="nanase 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 |
nanase shoulder-length hairnanase adjusting her hair. the background features softnanase green and yellow brushstrokesnanase "yumi 2020nanaseTrained using StationThis — an AI creative platform powered by $MS2. Train your own LoRAs via @stationthisbot on Telegram.
<sub>Generated by StationThis Training Pipeline</sub>