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", torch_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:
- d1c14e43595dcbb45dd24efa6252bbd1cae567ce129c6a3c4398c9b086a894a0
- Size of remote file:
- 3.84 kB
- SHA256:
- 8879795148d16939d90d34cb6b1c015778fc576e794c3fafc899cc4e17060b69
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