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FractalAIResearch/
Kalaido-qwenedit-lora

Name: Kalaido-qwenedit-lora
Availability: InStock

Qwen/Qwen-Image-Edit-2511

adapter

apache-2.0

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Kalaido-qwenedit-lora — Reinforcement learning enhanced Qwen-Image-Edit-2511

Introduction

Kalaido-qwenedit-lora is a LoRA adapter for Qwen-Image-Edit-2511, trained with reinforcement learning. It is intended for general editing and has better background preservation and edit instruction following than the base model.

Compared to the base Qwen-Image-Edit-2511, the adapter improves:

Better background preservation: No modifications to the unedited regions in the image.
Better instruction following: The model has better prompt following and understanding than the base model.

Example usage

Install a recent diffusers build (Qwen edit pipelines evolve quickly):

pip install git+https://github.com/huggingface/diffusers

Weights in this repo are shipped as a single Safetensors file: qwen-2511_general_edit_lora_v1.safetensors.

python

import torch
from PIL import Image
from diffusers import QwenImageEditPlusPipeline

model_id = "Qwen/Qwen-Image-Edit-2511"
lora_id = "FractalAIResearch/Kalaido-qwenedit-lora"

pipe = QwenImageEditPlusPipeline.from_pretrained(model_id, torch_dtype=torch.bfloat16)
pipe.load_lora_weights(
    lora_id,
    weight_name="qwen-2511_general_edit_lora_v1.safetensors",
    adapter_name="kalaido",
)
pipe.set_adapters(["kalaido"], [1.0])
pipe.to("cuda")


image = Image.open("input.png").convert("RGB")
prompt = "Your edit instruction here."
negative_prompt = " "

out = pipe(
    image=image,
    prompt=prompt,
    negative_prompt=negative_prompt,
    num_inference_steps=40,
    true_cfg_scale=4.0,
    guidance_scale=1.0,
    generator=torch.Generator(device="cuda").manual_seed(42),
).images[0]

out.save("edited.png")

Evaluation

We report ImgEdit benchmark scores.

Kalaido-qwenedit-lora is the open release in this repository (FractalAIResearch/Kalaido-qwenedit-lora); Kalaido-edit is our stronger production editor. For our latest closed models, APIs, and demos, see kalaido.ai.

In the table below, the highest score in each row is bold (ties are bolded for both).

Task	GPT-4o Image	Qwen Image Edit	Google Nano Banana Pro	GPT-5.1	FLUX.1 Kontext	Kalaido-qwenedit-lora	Kalaido-edit
Addition	4.65	4.61	4.70	4.70	4.08	4.65	4.71
Remove	3.81	4.39	4.69	4.89	3.23	4.50	4.72
Replace	4.49	4.70	4.55	4.83	4.42	4.70	4.77
Attribute alter	4.26	4.62	4.70	4.66	3.96	4.64	4.71
Motion change	4.76	4.82	4.83	4.92	4.54	4.80	4.92
Style transfer	4.75	4.77	4.87	4.91	4.59	4.73	4.84
Background change	4.62	4.54	4.50	4.90	4.15	4.53	4.68
Object extraction	2.96	4.19	3.57	2.91	2.27	4.21	4.40
Hybrid edit	4.54	4.03	3.77	4.71	3.42	4.37	4.64
Average score	4.32	4.52	4.46	4.60	3.85	4.57	4.71