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:
- bd6dce9607c7e2d958b4653e1e38a56bcf1f5261ee66430513cc11740007201d
- Size of remote file:
- 492 MB
- SHA256:
- e4354a44d08a4dc3d75ecb9273a959038fc6da7710c4e1d1f22d780ab59dd2c9
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