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 Settings
- Draw Things
- DiffusionBee
upload logs
Browse files
logs/20230330051631/finetuning/events.out.tfevents.1680153406.a4d0a24b96e7.7063.0
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size 3628062
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