Instructions to use Siyam/test_sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Siyam/test_sd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Siyam/test_sd", 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:
- ab4207cbe5a62435c96155877f6ee17a59f9bc33778106bdbe26d604ce0f2bb2
- Size of remote file:
- 492 MB
- SHA256:
- 1d25be0e07339e7c6b3e3231aa887dbe413a6d1b86355d5ba4babfa7452d7168
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