Instructions to use kmpartner/dscnftcl-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kmpartner/dscnftcl-test 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/dscnftcl-test", 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 checkpoint-2000/optimizer.bin from kmpartner/dscnftcl-test: direct link, hf CLI and curl.
- Browser
- Download file 375 MB
-
https://huggingface.co/kmpartner/dscnftcl-test/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://kmpartner/dscnftcl-test/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/kmpartner/dscnftcl-test/resolve/main/checkpoint-2000/optimizer.bin
375 MB
- Xet hash:
- 5088eb80311edd29518256cdecad4a42e741df44c8b8fb1658366f4c644f14f0
- Size of remote file:
- 375 MB
- SHA256:
- 3b276c5b25031b27188421d280c6aae7d1f139689aa4cd3fd727e666541ecf31
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