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:
- 6900c6a324194e5c2fdc9607383469a85b90a64683cb5744ddb0a900bcc4e323
- Size of remote file:
- 4.97 GB
- SHA256:
- c0ef3a140898e228a3520c9adec60743d2e8e5b3d229651bb37f1a3921919f99
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