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-v1-lora.pt
Browse files- pvc-v1-lora.pt +3 -0
pvc-v1-lora.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d0bb7d65b0ce7a3e20fec261e5fc967e89c4094edc57372f4d742032a07b36a8
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size 55116569
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