Text-to-Image
Diffusers
StableDiffusionPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Instructions to use Masoond/counterfeit-v30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Masoond/counterfeit-v30 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Masoond/counterfeit-v30", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 627c105555b3dd741df0f90b647d9aa1238f5371ee7861be178fbd74f5505e81
- Size of remote file:
- 492 MB
- SHA256:
- 846ac6f9a7736148ff7f209f2256777dbc4c40759ebde2cf18c7c3203cb650e0
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