Instructions to use matrixrb/tenThousandStepsTriad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use matrixrb/tenThousandStepsTriad with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("matrixrb/tenThousandStepsTriad", 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:
- 5ddc3986ae6142f463bbb3c2b55ef63c809c7482daeab06e1ab7d2e01ba7e0d7
- Size of remote file:
- 89.4 MB
- SHA256:
- aca7a25d493b5a9a18923855d3e080eb6c11be43e6e6ea41faa6c2ac4a68fadb
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