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]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.
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