Instructions to use ms2stationthis/miladyy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ms2stationthis/miladyy 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/miladyy") prompt = "miladyy, This is a digital drawing in an anime style. The subject is a young, blonde-haired girl with large, expressive blue eyes, wearing a white visor with a red \"C\" logo, a yellow blouse, and a pink floral skirt. She is holding a black assault rifle with both hands. The background is plain white, and bold, black and orange text reads, \"I'M JOINING THE WAR ON AUTISM ON THE SIDE OF THE AUTISM.\" The girl's expression is neutral, and her attire is reminiscent of a casual, yet slightly formal outfit. The drawing uses soft, pastel colors and has a clean, digital finish." 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/miladyy")
prompt = "miladyy, This is a digital drawing in an anime style. The subject is a young, blonde-haired girl with large, expressive blue eyes, wearing a white visor with a red \"C\" logo, a yellow blouse, and a pink floral skirt. She is holding a black assault rifle with both hands. The background is plain white, and bold, black and orange text reads, \"I'M JOINING THE WAR ON AUTISM ON THE SIDE OF THE AUTISM.\" The girl's expression is neutral, and her attire is reminiscent of a casual, yet slightly formal outfit. The drawing uses soft, pastel colors and has a clean, digital finish."
image = pipe(prompt).images[0]miladyy
This LoRA model generates digital drawings in a vibrant anime style, featuring characters with distinct traits such as large, expressive eyes and stylish outfits. It captures dynamic poses and accessories, exemplified by a young girl holding a black assault rifle, set against a clean, minimalistic background.
Trigger word: miladyy
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
miladyyin 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/miladyy")
pipe.to("cuda")
image = pipe(
prompt="miladyy 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
miladyy blonde-haired girl with largemiladyy expressive blue eyesmiladyy wearing a white visor with a red "c" logomiladyy a yellow blouse
Training Details
- Base model: black-forest-labs/FLUX.1-dev
- Training steps: 4000
- Trigger word:
miladyy - 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/miladyy
Base model
black-forest-labs/FLUX.1-dev


