Instructions to use kmpartner/testcn-temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kmpartner/testcn-temp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kmpartner/testcn-temp", 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
- Xet hash:
- b08a58110f74cfaf0f6482f0286c2caeea9bb9bacc86e59d355e036c40bd177d
- Size of remote file:
- 322 MB
- SHA256:
- 1a1fe5893dd638287478e8fc1df518223ad639cb40dd44604d97a4eafea4b0d5
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