Instructions to use destinP72/cow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use destinP72/cow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ByteDance/InfiniteYou", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("destinP72/cow") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Browse files- images/km_00057_.png +3 -0
- wan_cowgirl_v1.3.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:3733a9bea856fe1ae428c29810cf850a53a929325e059521a63b72d655cbbedb
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size 306807976
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