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 unet/diffusion_pytorch_model.bin from gsdf/Counterfeit-V2.0: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/gsdf/Counterfeit-V2.0/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://gsdf/Counterfeit-V2.0/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/gsdf/Counterfeit-V2.0/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 205a72c32dd07a635bbf4ba4e3e72f080b150e573901ef7540996260ab606cd9
- Size of remote file:
- 3.44 GB
- SHA256:
- 59a68184b1a01bb145e5ebdf56072e555dd0606f0f18175dc9bbc5b083a916bf
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