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-3000/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-3000/optimizer.bin
- Command line
-
hf download hf://britmob/nhrl_uncoditional/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/britmob/nhrl_uncoditional/resolve/main/checkpoint-3000/optimizer.bin
910 MB
- Xet hash:
- d8626347957ad49f5898d89384337ffa09cae53227aa391663bb9938b695d48d
- Size of remote file:
- 910 MB
- SHA256:
- ab32001eae04985b222ae9a4ba8f1007a277f5ae4044f64c8e4dd005ae6ab910
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