Instructions to use britmob/nhrl_uncoditional with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use britmob/nhrl_uncoditional with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("britmob/nhrl_uncoditional", 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-4000/optimizer.bin from britmob/nhrl_uncoditional: direct link, hf CLI and curl.
- Browser
- Download file 910 MB
-
https://huggingface.co/britmob/nhrl_uncoditional/resolve/main/checkpoint-4000/optimizer.bin
- Command line
-
hf download hf://britmob/nhrl_uncoditional/checkpoint-4000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/britmob/nhrl_uncoditional/resolve/main/checkpoint-4000/optimizer.bin
910 MB
- Xet hash:
- 1e0a14367e1a3cf1853f71aaa5942124b26d2b0471032a1d7eb5ca44e1914f4b
- Size of remote file:
- 910 MB
- SHA256:
- 88eb59cdb12a3a8fb9c3e9a500895d1e94242500e8857a6064a3118a68c2a027
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