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:
- 76e54ac5db5de685ffce4fdfc54276b8c978b07040e9d3ed2b017edbf70cb2b5
- Size of remote file:
- 32.8 GB
- SHA256:
- 4e164a859d37ac1827740fbb6bc09bc357c2de67b0af6f38fe43ea50a3edc67a
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