How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-4B", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("xocialize/background-remove-FLUX.2-klein-4B-lora")

prompt = "Remove the background from the image"
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")

image = pipe(image=input_image, prompt=prompt).images[0]

Flux Background Remove โ€” FLUX.2-klein-4B LoRA (mirror)

A rank-16 edit LoRA for FLUX.2-klein-4B that removes the background from an image and isolates the main subject.

This is a verbatim mirror, not original work. All credit belongs to the original author, fal (fal.ai). This repository exists so downstream code can depend on a stable, long-lived URL; the file is byte-for-byte identical to the source (verify the SHA-256 below).

Attribution & source

Provenance (verify the mirror)

File flux-background-remove-lora.safetensors
Size 76,039,072 bytes (~76 MB)
SHA-256 79D8CD4A5EA67C196B173AEB7C751BCFFFC79823993B2A033107D4A8DB68BCEA
Tensors 136 (f32)
Rank 16
Base model black-forest-labs/FLUX.2-klein-4B
Key dialect BFL-fused with PEFT base_model.model. prefix

The source repo also ships a ComfyUI-converted variant (..._comfy_converted.safetensors, diffusion_model. prefix); this mirror carries the canonical diffusers/PEFT file. Both map to the same 40 double + 40 single (80) targets.

Usage

  • Base: FLUX.2-klein-4B (image edit).
  • Prompt: Remove the background from the image
  • Strength (scale): ~1.1 (per the author's fal.ai SDK example).

Disclaimer

Mirrored in good faith based on fal's Apache-2.0 release. No affiliation with or endorsement by fal is implied.

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