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-plus-nf4", torch_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 Plus NF4
A powerful image editing model that accepts both text prompts and input images to generate modified versions.
Author
Quantization
Quantized by ovedrive
License
Apache License 2.0
Hosted by deAPI-ai for use with GamerHash AI
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