Instructions to use ppbrown/kl-f8ch32-alpha1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ppbrown/kl-f8ch32-alpha1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ppbrown/kl-f8ch32-alpha1", 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:
- 1ec48915bfcadbc7f1e16e1c86dc69b091c2b4b39b9fbf86eb22c868d9687080
- Size of remote file:
- 227 kB
- SHA256:
- 8036ef5f2253eb64a1e20d293cd573d2b21381f2090dd09b0ee1ebfd49661231
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