Instructions to use FoxBaze/Try_On_Qwen_Edit_Lora_Alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FoxBaze/Try_On_Qwen_Edit_Lora_Alpha 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("Qwen/Qwen-Image-Edit", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("FoxBaze/Try_On_Qwen_Edit_Lora_Alpha") 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
- Local Apps
- Draw Things

- Xet hash:
- eb047d06d21187be0c3e02d57aae9c3bfba187b4392ec2c74c01b4a21418404b
- Size of remote file:
- 2.28 MB
- SHA256:
- ddd4c9e8f7714a3602fb963165465214ec2c68dd70926bd72087f99b02fd813c
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