Instructions to use vaeth/nrCG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vaeth/nrCG with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vaeth/nrCG", 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
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Download README.md from vaeth/nrCG: direct link, hf CLI and curl.
- Browser
- Download file 288 Bytes
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https://huggingface.co/vaeth/nrCG/resolve/main/README.md
- Command line
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hf download hf://vaeth/nrCG/README.md
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curl -L -o README.md https://huggingface.co/vaeth/nrCG/resolve/main/README.md
288 Bytes
| license: mit | |
| # Model Repository for Diffusion Classifier Guidance for Non-robust Classifiers | |
| The model files should be downloaded and included in a folder "pretrained_models" in the same directory as the code, which is available at [Github](https://github.com/philippvaeth/nrCG). |