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:
- 501e46d405b2706248e2c9d7507f6a4dcf2cea0bb498113acb647acf57d81f03
- Size of remote file:
- 65.9 MB
- SHA256:
- 2462d9d64bccde034b3610951a8ceebd3d0b2aa59d8a108488c6ff7df5d24f83
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