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 Settings
- Draw Things
- DiffusionBee
Download pvc-v2-lora.pt from p1atdev/pvc: direct link, hf CLI and curl.
- Browser
- Download file 110 MB
-
https://huggingface.co/p1atdev/pvc/resolve/main/pvc-v2-lora.pt
- Command line
-
hf download hf://p1atdev/pvc/pvc-v2-lora.pt
-
curl -L -o pvc-v2-lora.pt https://huggingface.co/p1atdev/pvc/resolve/main/pvc-v2-lora.pt
110 MB
- Xet hash:
- 907e51f5162fe9adcced2c2ac46bb492c33991e1e9e840b395ac3a62cd097728
- Size of remote file:
- 110 MB
- SHA256:
- d9a9a8a3a66b2897572af679ca0f098c9474a4475b6f1922644a2fcba422ee28
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