Instructions to use Prajeevan/akshyaid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Prajeevan/akshyaid 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/akshyaid", dtype=torch.bfloat16, device_map="cuda") prompt = "akshyaiD" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b58c377ed195276f1698d46d03b618ef245cc5d74c4089f1839bed9ea70d7216
- Size of remote file:
- 492 MB
- SHA256:
- 3e7c876e2da8f9e38714001f5a113fbeb3b31de5bca569668d4ff6422e18d46e
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