Instructions to use callgg/flf-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use callgg/flf-decoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("callgg/flf-decoder", 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:
- b916361d5e1e13fe644dd74bd65cdebc4d93f11d77af259797273b742862c714
- Size of remote file:
- 1.26 GB
- SHA256:
- f5c0bbf4f43f319a80335387d371742333807589c5bb4130a1a2a5d4abf6bf72
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