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", torch_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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ab0bf33738473fcce0f9952a207d326303ef2d24d4552b35321ff162b1984941
- Size of remote file:
- 335 MB
- SHA256:
- a7ee760cf595a75409ac31385a8eedbf0b82e89875cce538fbc492de7551d206
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