Instructions to use Prajeevan/dhanush2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Prajeevan/dhanush2 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/dhanush2", dtype=torch.bfloat16, device_map="cuda") prompt = "dhanush2" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c33617e3512b546c522e29bd91c00541cf861075999a5ea90e832f91835da319
- Size of remote file:
- 3.44 GB
- SHA256:
- 97d16664e8ce9669cc6f4a626955c848b2296eddc6fdc0285edad530134764e7
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