Name: Qwen Edit 2509 Multiple angles
Author: dx8152

Overview

Qwen Edit 2509 is a specialized image-to-image model designed for precise spatial and perspective manipulations. Unlike general generative models that may struggle with structural consistency, this model excels at altering the viewing angle of a subject while preserving identity and detail. For developers, this provides a reliable tool for creating multi-angle product showcases or synthetic dataset expansion where consistent object geometry is critical. It integrates easily into existing image pipelines via standard API calls, offering a more controlled alternative to traditional inpainting or prompt-based editing. By focusing on geometric transformations rather than just stylistic changes, it bridges the gap between 2D image editing and 3D asset generation.

Highlights

High-fidelity perspective shifts while maintaining object identity
Optimized for multi-angle product and object visualization
Apache-2.0 license ensures flexible commercial integration
Efficient image-to-image workflow for synthetic data generation

Usage

Install

# Install Hugging Face transformers
pip install transformers torch

SDK Usage

# Load model with transformers
from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("dx8152/Qwen-Edit-2509-Multiple-angles")
tokenizer = AutoTokenizer.from_pretrained("dx8152/Qwen-Edit-2509-Multiple-angles")

Hugging Face Download

We recommend downloading the model via the Hugging Face CLI or Hub SDK.

Guidance：Before downloading, install huggingface_hub with:

Guidance

pip install -U huggingface_hub

CLI Download

Download the full repository

huggingface-cli download dx8152/Qwen-Edit-2509-Multiple-angles

Download a single file to a local folder (e.g. config.json into ./dir)

huggingface-cli download dx8152/Qwen-Edit-2509-Multiple-angles config.json --local-dir ./dir

See the official docs for more CLI options

SDK Download

# 模型下载
from huggingface_hub import snapshot_download
model_dir = snapshot_download('dx8152/Qwen-Edit-2509-Multiple-angles')

Git Download

Make sure git-lfs is installed first

Git Download

git lfs install
git clone https://huggingface.co/dx8152/Qwen-Edit-2509-Multiple-angles

To skip LFS large-file downloads, use:

Skip LFS

GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/dx8152/Qwen-Edit-2509-Multiple-angles

Model files are hosted on the Hugging Face Hub — download directly via HF CLI / SDK / Git, not through this site.

PyTorch / Transformers Usage

Install Transformers

pip install -U transformers torch

Load the model and run inference

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained('dx8152/Qwen-Edit-2509-Multiple-angles')
tokenizer = AutoTokenizer.from_pretrained('dx8152/Qwen-Edit-2509-Multiple-angles')

Model Download

We recommend downloading the model via the ModelScope CLI or SDK.

Guidance：Before downloading, install ModelScope with:

Guidance

pip install modelscope

CLI Download

Download the full repository

modelscope download --model dx8152/Qwen-Edit-2509-Multiple-angles

Download a single file to a local folder (e.g. README.md into ./dir)

modelscope download --model dx8152/Qwen-Edit-2509-Multiple-angles README.md --local_dir ./dir

See the docs for more CLI options

SDK Download

# 模型下载
from modelscope import snapshot_download
model_dir = snapshot_download('dx8152/Qwen-Edit-2509-Multiple-angles')

Git Download

Make sure git-lfs is installed first

Git Download

git lfs install
git clone https://www.modelscope.cn/dx8152/Qwen-Edit-2509-Multiple-angles.git

To skip LFS large-file downloads, use:

Skip LFS

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/dx8152/Qwen-Edit-2509-Multiple-angles.git

ModelScope 模型页直接下载模型文件；无需将模型文件放在本站服务器。

Notebook Quickstart

Install the ModelScope library

pip install "modelscope[audio,cv,nlp,multi-modal,science]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html

Load the model and run inference

from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks

p = pipeline('text-generation', 'dx8152/Qwen-Edit-2509-Multiple-angles')

Full Documentation

来源: HuggingFace

---
license: apache-2.0
base_model:

Qwen/Qwen-Image-Edit-2509

pipeline_tag: image-to-image
tags:

lora

library_name: diffusers
---
import os
from huggingface_hub import InferenceClient

client = InferenceClient(
provider="wavespeed",
api_key=os.environ["HF_TOKEN"],
)

with open("cat.png", "rb") as image_file:
input_image = image_file.read()

output is a PIL.Image object

image = client.image_to_image( input_image, prompt="Turn the cat into a tiger.", model="dx8152/Qwen-Edit-2509-Multiple-angles", ) This model is trained (code-free!) on ModelScope. Thanks to ModelScope team for providing the training infra:

https://www.modelscope.cn/aigc/modelTraining

-------

Updated 2025/11/2: Some people mentioned that the model has an unstable consistency issue. I have re-uploaded a version with more training iterations, hoping to fix the consistency problem.

Welcome everyone to use Lora of Qwen-Edit-2509, its performance is very amazing！

There are no trigger words. You can control the camera to move up, down, left, and right, as well as rotate it to the left and right. You can also look down or up. The camera can be changed to a wide-angle or close-up shot.

Online running link： www.runninghub.ai/post/1985311204883243009?inviteCode=rh-v1331

This is a user guide:

YouTube：https://youtu.be/UGdW8W1MqW8

Blibili：https://www.bilibili.com/video/BV1oi1gBBEZV/

“
将镜头向前移动（Move the camera forward.）
将镜头向左移动（Move the camera left.）
将镜头向右移动（Move the camera right.）
将镜头向下移动（Move the camera down.）
将镜头向左旋转45度（Rotate the camera 45 degrees to the left.）
将镜头向右旋转45度（Rotate the camera 45 degrees to the right.）
将镜头转为俯视（Turn the camera to a top-down view.）
将镜头转为广角镜头（Turn the camera to a wide-angle lens.）
将镜头转为特写镜头（Turn the camera to a close-up.）
...
There are many possibilities; you can try them yourself.
”
------

Instructions: Download the lora file to the models/loras folder.

You also need this lora and use them together: https://huggingface.co/lightx2v/Qwen-Image-Lightning/tree/main

For communication/cooperation, you can join the discord group to communicate： https://discord.gg/yVAVa43mWk

If these resources are helpful to you, or if you use them for business purposes, please buy me a coffee. Thank you for supporting original content! PayPal: Daniel8152

!效果图
!效果图2
!效果图3
I saw some people wanted to see a comparison between LoRa and the model's inherent capabilities, so I conducted a test. The trained model is indeed more powerful and intelligent, while the original model already possessed certain abilities. It's very powerful, which is why we love this model, and precisely because of this, we need to explore its potential.
!对比图