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-2509", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("dx8152/Qwen-Edit-2509-Multiple-angles")
prompt = "Turn this cat into a dog"
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]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 amazingοΌ
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 linkοΌ www.runninghub.ai/post/1985311204883243009?inviteCode=rh-v1331
This is a user guide:
YouTubeοΌhttps://youtu.be/UGdW8W1MqW8
BlibiliοΌhttps://www.bilibili.com/video/BV1oi1gBBEZV/
β ε°ι倴εε移ε¨οΌMove the camera forward.οΌ ε°ι倴ε左移ε¨οΌMove the camera left.οΌ ε°ι倴εε³η§»ε¨οΌMove the camera right.οΌ ε°ι倴εδΈη§»ε¨οΌMove the camera down.οΌ ε°ι倴εε·¦ζ转45εΊ¦οΌRotate the camera 45 degrees to the left.οΌ ε°ι倴εε³ζ转45εΊ¦οΌRotate the camera 45 degrees to the right.οΌ ε°ι倴转为俯θ§οΌTurn the camera to a top-down view.οΌ ε°ι倴转为广θ§ι倴οΌTurn the camera to a wide-angle lens.οΌ ε°ι倴转为ηΉει倴οΌTurn the camera to a close-up.οΌ ... There are many possibilities; you can try them yourself. β
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 communicateοΌ 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
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.
- Downloads last month
- 153,241
Model tree for dx8152/Qwen-Edit-2509-Multiple-angles
Base model
Qwen/Qwen-Image-Edit-2509