Instructions to use Antraxas/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Antraxas/test1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Antraxas/test1", 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:
- 24557a054384ee733c500ea56d17ff0aa81f31fd071405aa767c2ad8070c4bb4
- Size of remote file:
- 492 MB
- SHA256:
- fbdffb831fd72dd6dc2945ab0df6a74e6541994a3c79383f3f57d781ecd52d17
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