Instructions to use ApexArtist/qwenEdit2511int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ApexArtist/qwenEdit2511int8 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,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] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Apex Consistency LoRAs Merge
Merged LoRA for Qwen-Image-Edit-2511, quantized to INT8.
Demo
License & Credit
- Base model: Qwen/Qwen-Image-Edit-2511 β Apache 2.0
- Qwen-Image-Edit-2511-Lightning β lightx2v β Apache 2.0
- Qwen-Image-Edit-2511-Multiple-Angles-LoRA β fal.ai β Apache 2.0
- next-scene-qwen-image-lora-2509 β lovis93 β MIT (see source repo's LICENSE file for full terms)
Released under Apache 2.0.
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Model tree for ApexArtist/qwenEdit2511int8
Base model
Qwen/Qwen-Image-Edit-2511