klein · LoRAs on FLUX.2 klein
Collection
Our current-gen character & style adapters, trained on FLUX.2 klein (4B). Run them privately at noema.art. • 22 items • Updated
How to use noema-art/lainflux-klein 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.2-klein-base-4B", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("noema-art/lainflux-klein")
prompt = "lain, This is a digitally rendered image featuring a small, anime-style girl, referred to as \"lain\", lying on a compute…"
image = pipe(prompt).images[0]NOEMA · part of the
kleinfamily — character & style LoRAs on FLUX.2 klein (4B).
Run it privately at noema.art — no email, pay anonymously.
FLUX.2 [klein] 4B conversion of ms2stationthis/lainflux (originally FLUX.1-dev). Trigger: "lain".
Trigger word: lain
Retrained onto FLUX.2 [klein] 4B from ms2stationthis/lainflux (FLUX.1-dev).
import torch
from diffusers import Flux2Pipeline
pipe = Flux2Pipeline.from_pretrained(
"black-forest-labs/FLUX.2-klein-4B", torch_dtype=torch.bfloat16
).to("cuda")
pipe.load_lora_weights("ms2stationthis/lainflux-klein")
image = pipe("lain, a character portrait", guidance_scale=4.0, num_inference_steps=25).images[0]
image.save("out.png")
| LoRA strength | Guidance | Steps | Resolution |
|---|---|---|---|
| 0.8–1.0 | 4.0 | 25 | 1024×1024 |
This repo includes the full dataset/ (20 image-caption pairs) and the exact config.yaml so the LoRA can be retrained as-is.
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Base model
black-forest-labs/FLUX.2-klein-base-4B