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:
- e6029d86783ded4cd07bdb6d7ada2705b8620342aabf931cad594fb902139e3d
- Size of remote file:
- 2.13 GB
- SHA256:
- 3016953910cac04d68b4afcfd07d5c6d4ac161f414d8e67cf574998b9bd136ed
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