Instructions to use deAPI-ai/qwenimageedit-plus2-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deAPI-ai/qwenimageedit-plus2-nf4 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("deAPI-ai/qwenimageedit-plus2-nf4", 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
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("deAPI-ai/qwenimageedit-plus2-nf4", 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]Qwen Image Edit Plus2 NF4
An upgraded image editing model that accepts both text prompts and input images to generate modified versions, supporting various editing tasks.
Author
Quantization
Quantized by ovedrive
License
Apache License 2.0
Hosted by deAPI-ai for use with GamerHash AI
- Downloads last month
- 25