Instructions to use Karumoon/test00a1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Karumoon/test00a1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Karumoon/test00a1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 75bf82a8cf68e0b85136b8830ba003b9d20ff1af631fe06dbae884464090d085
- Size of remote file:
- 17.4 kB
- SHA256:
- f253abb016c22dd426d6e482f4f8c3960766de6e4c02f151478bfb98f6985383
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