Instructions to use ChandrilBasu/Voze2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChandrilBasu/Voze2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ChandrilBasu/Voze2") prompt = "Voze2" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add Voze2.safetensors
Browse files- Voze2.safetensors +3 -0
Voze2.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ced06eb18bd6e1cb5997936deb2cdc41647cff7386cf493f138948de457e5997
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size 130958064
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