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 Counterfeit-V2.0.safetensors from gsdf/Counterfeit-V2.0: direct link, hf CLI and curl.
- Browser
- Download file 7.7 GB
-
https://huggingface.co/gsdf/Counterfeit-V2.0/resolve/main/Counterfeit-V2.0.safetensors
- Command line
-
hf download hf://gsdf/Counterfeit-V2.0/Counterfeit-V2.0.safetensors
-
curl -L -o Counterfeit-V2.0.safetensors https://huggingface.co/gsdf/Counterfeit-V2.0/resolve/main/Counterfeit-V2.0.safetensors
7.7 GB
- Xet hash:
- 607ac57b1e2db29e186b0fd4a90b5107eba0ec894f951536c93771cee6c027ba
- Size of remote file:
- 7.7 GB
- SHA256:
- f3b033b02ff708e838be436b83785392ed087e84f03b7de864f24a7779adb55d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.