Instructions to use syaimu/7th_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use syaimu/7th_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("syaimu/7th_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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 36f0fced5561beb1b8b17fc79066f5a76b56adf3da3f41de18334b1330f06b0a
- Size of remote file:
- 492 MB
- SHA256:
- 9c4a43184427325e414bc359208c1c2fd910f3bcce3d89aba459fec94be41630
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