Instructions to use taraxis/melov1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use taraxis/melov1 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/melov1", dtype=torch.bfloat16, device_map="cuda") prompt = "mlloctst" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- c8524df3e30f07c87285c8fb087ad0d1d6c07f6d0452e4944af541beb655e39d
- Size of remote file:
- 492 MB
- SHA256:
- 363c8bef74e3004582d9e2db1ce1e17d9d486f51b1db016ab5acc84379199b31
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