Instructions to use taraxis/melov2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use taraxis/melov2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("taraxis/melov2", dtype=torch.bfloat16, device_map="cuda") prompt = "mloctst" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8bd1dbcaa0288dfd93698877ae1c272f726965007ac9cdd8695e1a5559692c73
- Size of remote file:
- 492 MB
- SHA256:
- 87439f31d3807620b9d23e5c821e7b97df343a27ea5e6d878173c0580b05117d
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