squireflux-klein

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FLUX.2 [klein] 4B conversion of ms2stationthis/squireflux (originally FLUX.1-dev). Trigger: "squire".

Trigger word: squire Retrained onto FLUX.2 [klein] 4B from ms2stationthis/squireflux (FLUX.1-dev).

Sample Outputs

squire, This image is a digitally created illustration that blends medieval, fantasy, and…	squire, This is a digitally created medieval illustration with a fantasy theme. The centr…
:---:	:---:
squire, This image is a digitally manipulated artwork which embodies the squire artistic…	squire, The image is a digital artwork featuring a medieval knight depicted in a fantasti…

Usage (Diffusers)

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("noema-art/squireflux-klein")
image = pipe("squire, a character portrait", guidance_scale=4.0, num_inference_steps=25).images[0]
image.save("out.png")

Recommended Settings

LoRA strength	Guidance	Steps	Resolution
0.8–1.0	4.0	25	1024×1024

Training Details

• Base: black-forest-labs/FLUX.2-klein-base-4B
• Steps: 4000 · Network: LoRA rank 32 / alpha 32
• Optimizer: adamw8bit, lr 1e-4 · Scheduler: flowmatch
• Resolution: 512, 768, 1024 (multi-res bucketed) · Precision: bf16 train / fp16 save

Reproduction

This repo includes the full dataset/ (18 image-caption pairs) and the exact config.yaml so the LoRA can be retrained as-is.

About

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