Instructions to use taraxis/nekodreamv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use taraxis/nekodreamv2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("taraxis/nekodreamv2", dtype=torch.bfloat16, device_map="cuda") prompt = "nkoctst" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 15588693f36aa43875cf1b06078e0c61143578b851266aef7ef93fc3797d0999
- Size of remote file:
- 492 MB
- SHA256:
- 06fa62bbd82eeb495934d94f6e36cdfaf443bbb5faae73435f724fb56bae885f
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