Instructions to use coversia21/RVCVenom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use coversia21/RVCVenom with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cagliostrolab/animagine-xl-3.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("coversia21/RVCVenom") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- Venom.zip +3 -0
- images/venom-2-fotogramas-1634239260.png +3 -0
Venom.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:986a9b2cba2088f40c32de2830b77b0e072e78b11f74493581a2011c6e6d01a9
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size 93646680
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Git LFS Details
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