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_001.jpg from gsdf/Counterfeit-V2.0: direct link, hf CLI and curl.
- Browser
- Download file 2.63 MB
-
https://huggingface.co/gsdf/Counterfeit-V2.0/resolve/refs%2Fpr%2F1/sample_001.jpg
- Command line
-
hf download hf://gsdf/Counterfeit-V2.0@refs/pr/1/sample_001.jpg
-
curl -L -o sample_001.jpg https://huggingface.co/gsdf/Counterfeit-V2.0/resolve/refs%2Fpr%2F1/sample_001.jpg
2.63 MB

- Xet hash:
- 41eaed105522e846a994111a89b53ed5aa306b18f61db6069b27871804b52003
- Size of remote file:
- 2.63 MB
- SHA256:
- 9a6b85fd9416a1685f94a38e78b4e43c71b0dd9b73eee373f7a3b5b34c2514a0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.