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:
- 7243b389b0bd5e3f7cddea3646025feb5309b85f656223ec6c3daec0db278956
- Size of remote file:
- 2.92 MB
- SHA256:
- 94e237ffa3e3d0546e8bcfaa9a0bea68b9557e01dc9851a9cbcbff07d55ad4f0
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