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("strangerzonehf/Qwen-Image-Edit-LoRA-Collection")
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]@misc{stranger_zone_2026,
author = { Stranger Zone and Prithiv Sakthi },
title = { Qwen-Image-Edit-LoRA-Collection (Revision 0f192e5) },
year = 2026,
url = { https://huggingface.co/strangerzonehf/Qwen-Image-Edit-LoRA-Collection },
doi = { 10.57967/hf/7446 },
publisher = { Hugging Face }
}
For more details, visit the original model cards ; Page: https://huggingface.co/prithivMLmods
⚠️ Trying it out with inference providers is not recommended, as it contains multiple adapter (LoRA) checkpoints.
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