Instructions to use profpeng/wanhardcut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/wanhardcut with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("profpeng/wanhardcut") prompt = "the camera makes a hard cut to, wide-angle or mid-shot or close-up" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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hard_cut_200_wan_i2v_high.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bf2a024928ce8085cbc39636b9aaa31fbbe2b5929b11480e2f256b82e51b07b6
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size 306807976
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images/IMG_112353_0.PNG
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Git LFS Details
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