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:
- 52e89c3f6d8206f59286f3eb75681c7fd121ba45489703768c09e329528d3658
- Size of remote file:
- 4.85 GB
- SHA256:
- 64af859948bbe32a0bdebf35a9aa2028071d53f7689c45b7bb3cd9e8217a0cf8
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