Instructions to use nvidia/ChronoEdit-14B-Diffusers-Upscaler-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nvidia/ChronoEdit-14B-Diffusers-Upscaler-Lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nvidia/ChronoEdit-14B-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nvidia/ChronoEdit-14B-Diffusers-Upscaler-Lora") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
add gradio demo
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by akhaliq HF Staff - opened
README.md
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💚 <a href="https://research.nvidia.com/labs/toronto-ai/chronoedit/"><b>ChronoEdit</b></a>    |    🖥️ <a href="https://github.com/nv-tlabs/ChronoEdit">GitHub</a>    |   🤗 <a href="https://huggingface.co/collections/nvidia/chronoedit">Hugging Face</a>   |   🤖 <a href="https://huggingface.co/spaces/
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💚 <a href="https://research.nvidia.com/labs/toronto-ai/chronoedit/"><b>ChronoEdit</b></a>    |    🖥️ <a href="https://github.com/nv-tlabs/ChronoEdit">GitHub</a>    |   🤗 <a href="https://huggingface.co/collections/nvidia/chronoedit">Hugging Face</a>   |   🤖 <a href="https://huggingface.co/spaces/akhaliq/ChronoEdit-14B-Diffusers-Upscaler-Lora">Gradio Demo</a>   |    📑 <a href="https://arxiv.org/abs/2510.04290">Paper</a>   
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