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noema-art/0__11Xx
0__11Xx 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 enhances digital artwork by generating stylized, surreal compositions with a focus on vibrant color gradients and intricate landscapes. It emphasizes character positioning and atmospheric effects, such…
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Updated Mar 26, 2026
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.safetensors344 MB · 100%
From the Hugging Face model README
This LoRA model enhances digital artwork by generating stylized, surreal compositions with a focus on vibrant color gradients and intricate landscapes. It emphasizes character positioning and atmospheric effects, such as vivid sunsets and coastal cityscapes, to create emotionally evocative scenes.
Trigger word: 0__11Xx
![]() | ![]() |
| 0__11Xx, This is a digital artwork featuring a stylized, sur... | 0__11Xx, This digital artwork depicts a person with shoulder... |
![]() | ![]() |
| 0__11Xx, This is a digital illustration featuring a mysterio... | 0__11Xx, This is a digital anime-style drawing featuring a s... |
.safetensors file from the Files tabComfyUI/models/loras/0.8-1.00__11Xx 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/0__11Xx")
pipe.to("cuda")
image = pipe(
prompt="0__11Xx 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 |
0__11Xx this is a digital artwork featuring a stylized0__11Xx surreal composition. at the center0__11Xx a person with short0__11Xx light brown hair0__11XxTrained using StationThis — an AI creative platform powered by $MS2. Train your own LoRAs via @stationthisbot on Telegram.
<sub>Generated by StationThis Training Pipeline</sub>