Instructions to use glides/counterfeit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glides/counterfeit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("glides/counterfeit", 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:
- aaa5e256ef44ab15e7fb73741eeefce28cb1b881c124ddf9660faad5918b711b
- Size of remote file:
- 399 kB
- SHA256:
- d22f9df2834a62b88644506ec746032be815d58c3fc42b80062d5ad5313ce476
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