Instructions to use Prajeevan/malavika2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Prajeevan/malavika2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Prajeevan/malavika2", dtype=torch.bfloat16, device_map="cuda") prompt = "malavika2" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5668546076ffb6b9d8f8858745745faaaf17490f18434060e10353f25f3e9631
- Size of remote file:
- 3.44 GB
- SHA256:
- 5f180b1cc9feacb2de4da296f3a79b254639432fec6d8915a4db8c03c8df06d6
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