Instructions to use ziyu600601/trtyuij with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ziyu600601/trtyuij with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ziyu600601/trtyuij", 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:
- 56de14e3ff96bf6eb0cd2d8ef5956ba66e26cf880173a551e9047f1af22dfd3c
- Size of remote file:
- 492 MB
- SHA256:
- bfc3a95a40d63d3cd0f70dcedced7dd7545972f8259d644c4c616b61bdccd805
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