Instructions to use cloudfan/ckpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cloudfan/ckpt with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cloudfan/ckpt", 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
- Xet hash:
- 997ee7f92cc78d03211cab16a55c18498c88be2a55c0112bcf05af34596c7efe
- Size of remote file:
- 3.9 GB
- SHA256:
- 2642ed60ae15e0639ed9e7079630998bd6af34f9471719a0a0ee9a0492ba1f20
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