Image-to-Image
Diffusers
English
qwen
qwen-image-edit
qwen-image-edit-2511
lora
multi-angle
camera-angles
camera-control
image-editing
gaussian-splatting
fal
Instructions to use fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA 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("Qwen/Qwen-Image-Edit-2511", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Would be nice to see similar thing for Wan2.2 or LTX-2
#10
by AbraamSaint - opened
This lora amazing! Thanks alot! Just want to say that i have a small hope that someone smart soon will make similar camera control lora or node for video gen models like the wan or ltx. With primitive keyframe control even better
That would indeed be extremely useful for Wan, who tends to be capricious and rigid with the angles chosen.
WAN 2.2 needs this so much.