Instructions to use insagur/n5ae7006cc601 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use insagur/n5ae7006cc601 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("insagur/n5ae7006cc601", 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
- Xet hash:
- ea29aa258af26dc4f2e02d525846c446d9fa2b0e94f82821d8259f0ebfb42202
- Size of remote file:
- 20 MB
- SHA256:
- 4012eb888c8edaca05866241a3a8319ca02d45c367eef3da25b8ba4ef002f5b3
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