Instructions to use snow-leopard/init_baseline_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use snow-leopard/init_baseline_test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("snow-leopard/init_baseline_test", 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:
- e128409e16d66c9792f1a82465c3fa4480b3a0b714d1e2284c0e0e2202a88f58
- Size of remote file:
- 910 MB
- SHA256:
- 04bf46a77858b5aa727eab8fe52b85f81d7f7ad3787851e25a14ad00f71dd9b6
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