Instructions to use nvidia/ChronoEdit-14B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nvidia/ChronoEdit-14B-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nvidia/ChronoEdit-14B-Diffusers", torch_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:
- b3efd4223a55b8726e14c2fac760fed0fed9d0648e316fc3e8f850f8a2820844
- Size of remote file:
- 4.97 GB
- SHA256:
- f93148bcc04052a169e1e49bfcf6125df6cf9bf243cb9c627da75266cf8e35c3
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