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,lightx2v/Qwen-Image-Edit-2511-Lightning,fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA,lovis93/next-scene-qwen-image-lora-2509", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("ApexArtist/qwenEdit2511int8")
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]Apex Consistency LoRAs Merge
Merged LoRA for Qwen-Image-Edit-2511, quantized to INT8.
Demo
License & Credit
- Base model: Qwen/Qwen-Image-Edit-2511 — Apache 2.0
- Qwen-Image-Edit-2511-Lightning — lightx2v — Apache 2.0
- Qwen-Image-Edit-2511-Multiple-Angles-LoRA — fal.ai — Apache 2.0
- next-scene-qwen-image-lora-2509 — lovis93 — MIT (see source repo's LICENSE file for full terms)
Released under Apache 2.0.
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