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:
- 2d598de16d98b0c3526203d827c9e7ee1d3c757912dce20fb4fac987abf9dc77
- Size of remote file:
- 492 MB
- SHA256:
- b98c159ccddb5c2cfab734a20d3d937ba1c12143ab49f314ec4c1b3184e61bad
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