Instructions to use NullVoider/V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NullVoider/V1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NullVoider/V1", 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
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# V1: Human-Centric Video Foundation Model
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<a href="https://github.com/immortalshadow007/V1" target="_blank">🌐 Github</a>
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This repo contains Diffusers-format model weights for V1 Text-to-Video, Image-to-Video models, and Video-to-Video. You can find the inference code on our github repository [V1](https://github.com/immortalshadow007/V1).
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# V1: Human-Centric Video Foundation Model
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This repo contains Diffusers-format model weights for V1 Text-to-Video, Image-to-Video models, and Video-to-Video. You can find the inference code on our github repository [V1](https://github.com/immortalshadow007/V1).
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