Instructions to use ovedrive/Qwen-Image-Edit-2511-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ovedrive/Qwen-Image-Edit-2511-4bit 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("ovedrive/Qwen-Image-Edit-2511-4bit", dtype=torch.bfloat16, device_map="cuda") 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
Thanks!
#3
by Clifton100 - opened
Creating an NF4 quantization in a way that preserves high quality? yes please! And thank you, I shall return for more of your stuff!
ovedrive changed discussion status to closed