FLUX.1-dev LoRAs
Collection
The prior-gen back-catalogue — FLUX.1-dev character & style LoRAs. • 55 items • Updated
How to use noema-art/b0throps 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("noema-art/b0throps")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]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("noema-art/b0throps")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]This LoRA model generates digital anime-style illustrations of young female characters, emphasizing unique features like light brown braided hair and striking red eyes. The characters are styled in edgy, tattered outfits, including black crop tops and witch hats, enhancing their playful yet mysterious appearance.
Trigger word: b0throps
.safetensors file from the Files tabComfyUI/models/loras/0.8-1.0b0throps 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/b0throps")
pipe.to("cuda")
image = pipe(
prompt="b0throps 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 |
b0throps wearing a blackb0throps exposing her midriff. she has red eyesb0throps pale skinb0throps and is dressed in a shortb0thropsTrained using StationThis — an AI creative platform powered by $MS2. Train your own LoRAs via @stationthisbot on Telegram.
Generated by StationThis Training Pipeline
Base model
black-forest-labs/FLUX.1-dev