Instructions to use coversia21/RVC_Cepillo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use coversia21/RVC_Cepillo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("h94/IP-Adapter-FaceID", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("coversia21/RVC_Cepillo") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9febf9f48323928b3a3a127e5d2a3c4134bd8b59e5eb30cf6cfc9cad7a3f5034
- Size of remote file:
- 60 MB
- SHA256:
- 03197d32b617e41da31562c08b410906baec9dfc3b2028490d8f68e6fecaec70
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