Instructions to use p1atdev/pvc-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use p1atdev/pvc-v4 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-v4", dtype=torch.bfloat16, device_map="cuda") prompt = "pvc, masterpiece, best quality, exceptional, 1girl, red hair, cat ears, red eyes, curly hair, long hair, maid costume, frills, upper body, looking at viewer, red flowers, indoors, beautiful view, medieval," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- efbef1b971d03cd2cc42e2262f2a55ced892150a016a668611eac3efeff29a72
- Size of remote file:
- 1.36 GB
- SHA256:
- f02081afbf7a2699ad008f1db04aa8636ad1dc598e204985bdf4ee56d17416a5
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