Instructions to use sid229/trainshoeui with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sid229/trainshoeui with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sid229/trainshoeui", 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:
- 2489155f14d3f40893d7a8aeace3147cd929bb9d72cf7cdf0063b53a41b49afe
- Size of remote file:
- 681 MB
- SHA256:
- de946190fb1990f898ff7bf81606a8c680e0580e9cd16b2610f1399094aef483
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