Instructions to use Prajeevan/akin2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Prajeevan/akin2 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/akin2", dtype=torch.bfloat16, device_map="cuda") prompt = "akin2" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- d975bc3b838569c14a50cbf5510cb150088aaa467140c6d40cd5936758391d7e
- Size of remote file:
- 3.44 GB
- SHA256:
- 399c5d8acc0ea3bcd0291757e4f295f7fa9be1de00b859d159b011fe79497e80
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