Instructions to use Siyam/sftest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Siyam/sftest 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/sftest", 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:
- 2c718f7fc152afffd787d2f06b4c10835092e877224ec400661858baac4310d0
- Size of remote file:
- 246 MB
- SHA256:
- 1fab06a52087a64c12cf6e254c7c0b1947c751275d6be9753e56d019544f01e8
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