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-30000/optimizer.bin from adammoss/test: direct link, hf CLI and curl.
- Browser
- Download file 910 MB
-
https://huggingface.co/adammoss/test/resolve/main/checkpoint-30000/optimizer.bin
- Command line
-
hf download hf://adammoss/test/checkpoint-30000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/adammoss/test/resolve/main/checkpoint-30000/optimizer.bin
910 MB
- Xet hash:
- 796fb4e58a32ecfc158eee71c32537f508099f22ff0769b3ce8855f2e559ad3f
- Size of remote file:
- 910 MB
- SHA256:
- 4db1a9a064cfb525585fa2fd7a747ef67f2b9809bc667a1a4cad311e742712f4
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