Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use gsdf/Counterfeit-V2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gsdf/Counterfeit-V2.5 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-V2.5", 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-V2.5: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/gsdf/Counterfeit-V2.5/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://gsdf/Counterfeit-V2.5/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/gsdf/Counterfeit-V2.5/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 3773824f3ff0ac498132a26508963c3f52c89bfa2cb4f34811e1fb6309245bc8
- Size of remote file:
- 3.44 GB
- SHA256:
- 91cb6eaf437bf61ba766ccaaa2edc1c526e7966863ede18562db758bd75aaf00
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