Instructions to use ms2stationthis/nanase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ms2stationthis/nanase with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ms2stationthis/nanase") prompt = "nanase, This is a colored pencil drawing of a young girl with light brown, shoulder-length hair, smiling widely with her eyes closed. She has fair skin and is depicted in a school uniform, wearing a light blue shirt with a blue and white striped tie. Her left hand is raised to her head, adjusting her hair. The background features soft, green and yellow brushstrokes, adding a sense of warmth and happiness to the image. The girl's expression is joyful and carefree. The artist's signature, \"YUMI 2020,\" is in the bottom left corner. The overall style is cute and anime-inspired." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("ms2stationthis/nanase")
prompt = "nanase, This is a colored pencil drawing of a young girl with light brown, shoulder-length hair, smiling widely with her eyes closed. She has fair skin and is depicted in a school uniform, wearing a light blue shirt with a blue and white striped tie. Her left hand is raised to her head, adjusting her hair. The background features soft, green and yellow brushstrokes, adding a sense of warmth and happiness to the image. The girl's expression is joyful and carefree. The artist's signature, \"YUMI 2020,\" is in the bottom left corner. The overall style is cute and anime-inspired."
image = pipe(prompt).images[0]nanase
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
Sample Outputs
Usage
ComfyUI
- Download the
.safetensorsfile from the Files tab - Place in
ComfyUI/models/loras/ - Use the Load LoRA node with strength
0.8-1.0 - Include
nanasein your prompt
Diffusers
import 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")
Recommended Settings
| Parameter | Value |
|---|---|
| LoRA Strength | 0.8-1.0 |
| Guidance Scale | 3.5-4.0 |
| Inference Steps | 20-30 |
| Resolution | 1024x1024 |
Example Prompts
nanase shoulder-length hairnanase adjusting her hair. the background features softnanase green and yellow brushstrokesnanase "yumi 2020
Training Details
- Base model: black-forest-labs/FLUX.1-dev
- Training steps: 4000
- Trigger word:
nanase - Network: LoRA rank 32, alpha 32
- Optimizer: adamw8bit, lr 1e-4
- Precision: float16
- Resolution: 512, 768, 1024 (multi-res bucketed)
About
Trained using StationThis — an AI creative platform powered by $MS2. Train your own LoRAs via @stationthisbot on Telegram.
Generated by StationThis Training Pipeline
Model tree for ms2stationthis/nanase
Base model
black-forest-labs/FLUX.1-dev


