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_006.jpg from gsdf/Counterfeit-V2.0: direct link, hf CLI and curl.
- Browser
- Download file 1.68 MB
-
https://huggingface.co/gsdf/Counterfeit-V2.0/resolve/refs%2Fpr%2F1/sample_006.jpg
- Command line
-
hf download hf://gsdf/Counterfeit-V2.0@refs/pr/1/sample_006.jpg
-
curl -L -o sample_006.jpg https://huggingface.co/gsdf/Counterfeit-V2.0/resolve/refs%2Fpr%2F1/sample_006.jpg
1.68 MB

- Xet hash:
- 55f139d1561f884d56e29c70f295870b744dbbac8a39fde7520ece884086d5a4
- Size of remote file:
- 1.68 MB
- SHA256:
- 9e570854e0655a7db4e01e2fd08f81e1aba781e489cfc70650d1ba360a064418
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