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

- Xet hash:
- 431d9135a5b5e67115fca6b5e0e7f22717591a257fcde1e12800d7959e172a84
- Size of remote file:
- 2.91 MB
- SHA256:
- 4ed0ede4d652b1b00e395fab404e5e6ef014191a53c09f139843a17442352a94
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