Note: Removing 4–5 or more objects or a specified highlighted area may require more inference steps. Please specify it as [marked area] and proceed.
QIE-2511-Object-Remover-v2
QIE-2511-Object-Remover-v2
is an adapter LoRA developed for Qwen’s
Qwen-Image-Edit-2511
image-to-image model, designed to precisely remove unwanted objects from images while preserving the surrounding scene. The model intelligently fills in removed regions with context-aware reconstruction, maintaining consistent textures, lighting, shadows, and perspective. It excels at clean object removal without visible artifacts, edge distortion, or style mismatch, resulting in natural and seamless edits that retain the original image quality.
Quick Start with Diffusers
Compatible with versions
2509
and
2511
.
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(
"Qwen/Qwen-Image-Edit-2511",
dtype=torch.bfloat16,
device_map="cuda"
)
pipe.load_lora_weights("prithivMLmods/QIE-2511-Object-Remover-v2")
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]
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prithivMLmods QIE-2511-Object-Remover-v2 online free url in huggingface.co:
QIE-2511-Object-Remover-v2 is an open source model from GitHub that offers a free installation service, and any user can find QIE-2511-Object-Remover-v2 on GitHub to install. At the same time, huggingface.co provides the effect of QIE-2511-Object-Remover-v2 install, users can directly use QIE-2511-Object-Remover-v2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
QIE-2511-Object-Remover-v2 install url in huggingface.co: