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", 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
Download tokenizer/spiece.model from nvidia/ChronoEdit-14B-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 4.55 MB
-
https://huggingface.co/nvidia/ChronoEdit-14B-Diffusers/resolve/refs%2Fpr%2F2/tokenizer/spiece.model
- Command line
-
hf download hf://nvidia/ChronoEdit-14B-Diffusers@refs/pr/2/tokenizer/spiece.model
-
curl -L -o spiece.model https://huggingface.co/nvidia/ChronoEdit-14B-Diffusers/resolve/refs%2Fpr%2F2/tokenizer/spiece.model
4.55 MB
- Xet hash:
- 07f3b3450a4c25fa40428e4f3bf24b568a6801d7d63bb20bd20d83b2b4d1bc1c
- Size of remote file:
- 4.55 MB
- SHA256:
- e3909a67b780650b35cf529ac782ad2b6b26e6d1f849d3fbb6a872905f452458
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