Instructions to use Remade-AI/Bride with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Bride with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-I2V-14B-480P,Wan-AI/Wan2.1-I2V-14B-480P-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Remade-AI/Bride") prompt = "The video starts with a close-up of a smiling man in a blue button-down shirt, then the 8r1d3 bride effect happens. The man is now in a white lace wedding dress, smiling, with a bouquet of white flowers in front of a blurred wooden background." input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") image = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
rabbit_bridge
Browse files- .gitattributes +1 -0
- example_videos/rabbit_bride.gif +3 -0
.gitattributes
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example_videos/man_bride.mp4 filter=lfs diff=lfs merge=lfs -text
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example_videos/rabbit_bride.mp4 filter=lfs diff=lfs merge=lfs -text
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example_videos/rodent_bride.mp4 filter=lfs diff=lfs merge=lfs -text
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example_videos/man_bride.mp4 filter=lfs diff=lfs merge=lfs -text
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example_videos/rabbit_bride.mp4 filter=lfs diff=lfs merge=lfs -text
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example_videos/rodent_bride.mp4 filter=lfs diff=lfs merge=lfs -text
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example_videos/rabbit_bride.gif filter=lfs diff=lfs merge=lfs -text
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example_videos/rabbit_bride.gif
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Git LFS Details
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