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:
- ec9078215b10a42e5f7b284ebe9c8f1af0a2795a5abdcebd2fb0a1c04fbc7bfa
- Size of remote file:
- 2.2 MB
- SHA256:
- ed60997d820c7a92678fc2f9a02ff2c2b82514eed62012a40543f9913b48ac60
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