Instructions to use adammoss/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use adammoss/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("adammoss/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-20000/optimizer.bin from adammoss/test: direct link, hf CLI and curl.
- Browser
- Download file 910 MB
-
https://huggingface.co/adammoss/test/resolve/main/checkpoint-20000/optimizer.bin
- Command line
-
hf download hf://adammoss/test/checkpoint-20000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/adammoss/test/resolve/main/checkpoint-20000/optimizer.bin
910 MB
- Xet hash:
- 495129fe143749439583f3497278109e451f9cd04cde99382eecde36cf54bbb9
- Size of remote file:
- 910 MB
- SHA256:
- 8391e169d46dfeeb968b7d6566d86499781e03432a59b3751999c2dcf5d92587
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