FLUX.2-Klein-Object-Remover-Bbox

FLUX.2-Klein-Object-Remover-Bbox

FLUX.2-Klein-Object-Remover-Bbox is an adapter LoRA developed for black-forest-labs/FLUX.2-klein-base-9B, designed to precisely remove unwanted objects from images using bounding box guidance. The model intelligently reconstructs the selected region with context-aware filling while preserving surrounding textures, lighting, shadows, and perspective. It delivers clean object removal without visible artifacts, edge distortion, or style mismatch, ensuring natural and seamless edits while retaining the original image quality.

Quick Start with Diffusers

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-base-9B",
    torch_dtype=torch.bfloat16
).to("cuda")

pipe.load_lora_weights("prithivMLmods/FLUX.2-Klein-Object-Remover-Bbox")

prompt = "Remove the red highlighted object from the scene."

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]

Trigger Prompt

Remove the red highlighted object from the scene.

Download Model

You can download the model files from the Files & versions tab:

Download