Instructions to use NoxiusEngine/Vivid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NoxiusEngine/Vivid 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("NoxiusEngine/Vivid", dtype=torch.bfloat16, device_map="cuda") 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
- Xet hash:
- 8499c6bc5e4925fea2027a73be3956fa15ebc1334be32a3c5a27cebe33cc8629
- Size of remote file:
- 3.44 GB
- SHA256:
- d27cd69d4a0aa32105087a619f32a51bc087e133be93fe23da92f3c0bcc07d79
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