Instructions to use nvidia/ChronoEdit-14B-Diffusers-Paint-Brush-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nvidia/ChronoEdit-14B-Diffusers-Paint-Brush-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-Paint-Brush-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
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# ChronoEdit Paint Brush Lora
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[How to use this lora?]()
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[Official Diffuser Example with LoRA Loading](https://huggingface.co/docs/diffusers/main/api/pipelines/chronoedit#inference-with-8-step-distillation-lora)
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# ChronoEdit Paint Brush Lora
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[How to use this lora?](https://github.com/nv-tlabs/ChronoEdit?tab=readme-ov-file#4-inference-with-other-loras)
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[Official Diffuser Example with LoRA Loading](https://huggingface.co/docs/diffusers/main/api/pipelines/chronoedit#inference-with-8-step-distillation-lora)
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