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:
- 33802e2a6e1e8a9ecef33d0c4e8f00f6a23021c550a9f99ae10eba7ebf53289b
- Size of remote file:
- 2.13 GB
- SHA256:
- db5feef588f6df41d36ce564cbbf892f5c78ed6f76680a37a6aa3be09b8ed72a
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