Instructions to use gsdf/Counterfeit-V2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gsdf/Counterfeit-V2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gsdf/Counterfeit-V2.0", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download sample_007.jpg from gsdf/Counterfeit-V2.0: direct link, hf CLI and curl.
- Browser
- Download file 2.14 MB
-
https://huggingface.co/gsdf/Counterfeit-V2.0/resolve/refs%2Fpr%2F9/sample_007.jpg
- Command line
-
hf download hf://gsdf/Counterfeit-V2.0@refs/pr/9/sample_007.jpg
-
curl -L -o sample_007.jpg https://huggingface.co/gsdf/Counterfeit-V2.0/resolve/refs%2Fpr%2F9/sample_007.jpg
2.14 MB

- Xet hash:
- b49df3df8b030152a386b71d98f30270b6f1a278056da2734e60ad0ffd6ec951
- Size of remote file:
- 2.14 MB
- SHA256:
- 7561d21409c35dcc6909c6c225859f60bd2c0c1fdbd18eadece786193f1f4f71
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