Instructions to use fal/ChronoEdit-14B-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/ChronoEdit-14B-FlashPack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/ChronoEdit-14B-FlashPack", 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:
- 1dd95ae222b538c650464755cb429373797d102f951b0bb8eba2cd13ebf2ab5e
- Size of remote file:
- 1.26 GB
- SHA256:
- faa8b5f182cf462e7241669472db88fe63cf73e420a7d7c0c0130342abe45f9c
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