Instructions to use p1atdev/pvc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use p1atdev/pvc with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("p1atdev/pvc", dtype=torch.bfloat16, device_map="cuda") prompt = "masterpiece, best quality, high quality, 1girl, cat ears, silver, blue, frills, bow, looking at viewer, ultra detailed" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload pvc-v2.ckpt
Browse files- pvc-v2.ckpt +3 -0
pvc-v2.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2ee2d8bb5b98f912ab076ad869c1d3fb1fa2cee54438f9e3e86f985509736c80
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size 5160226170
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