Instructions to use prithivMLmods/Qwen-Image-Edit-AIO-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Qwen-Image-Edit-AIO-FP8 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("prithivMLmods/Qwen-Image-Edit-AIO-FP8", 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
- Xet hash:
- c1885e63c209dd873e1f2b1c6aa31eabf53d83b798826f0bd816f2e2db79847f
- Size of remote file:
- 20.4 GB
- SHA256:
- 0e5d929c7e7a970170e1655b058d7c28961c4b86c847367a9499e94605e391a5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.