Image-to-Image
Diffusers
Safetensors
English
QuantFuncPipeline
custom_qwen_image
image-editing
diffusion
quantized
quantfunc
Instructions to use QuantFunc/Qwen-Image-Edit-Series with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use QuantFunc/Qwen-Image-Edit-Series 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("QuantFunc/Qwen-Image-Edit-Series", 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
Upload transformer/qwen-image-2511-50x-below-lighting-4steps-v2.safetensors with huggingface_hub
Browse files
transformer/qwen-image-2511-50x-below-lighting-4steps-v2.safetensors
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