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
Download bkanidi/rep-test/diffusion_pytorch_model.bin from kmpartner/testcn-temp: direct link, hf CLI and curl.
- Browser
- Download file 2.41 GB
-
https://huggingface.co/kmpartner/testcn-temp/resolve/main/bkanidi/rep-test/diffusion_pytorch_model.bin
- Command line
-
hf download hf://kmpartner/testcn-temp/bkanidi/rep-test/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/kmpartner/testcn-temp/resolve/main/bkanidi/rep-test/diffusion_pytorch_model.bin
2.41 GB
- Xet hash:
- 1fda5f4a7929482739998989b1ed552edf6ef28cdf22841a921af0e0662f70fa
- Size of remote file:
- 2.41 GB
- SHA256:
- bb780a6cb29c17d930c8cb89e7051828ce3e13ae7cfe7aaba973d6340934c326
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