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:
- c335ad4416f306455f1b9097ed8a3f926e5d58d34bf68a05bdf185d918cf3680
- Size of remote file:
- 335 MB
- SHA256:
- fae4170b316c9bb1b2c2f07d8a13898b0b4cd333ecbe071fad402ef022068584
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