Instructions to use vdo/animov-512x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vdo/animov-512x with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vdo/animov-512x", 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
Overview
This is a text2video model for diffusers, fine-tuned with a ModelScope to have an anime-style appearance.
The model now has a much more anime-style look compared to the previous version.
It was trained at a resolution of 512x512.
But it is still unstable and the usability is not good yet.
Please note that there is a possibility of unintended unpleasant results!
Prompt
- Mandatory prompt
anime - Recommended negative prompt
noise, text, nude
Limitaion
The usage limitation of the model follow the ModelScope rules of the original model.
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