Instructions to use aidealab/AIdeaLab-VideoJP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aidealab/AIdeaLab-VideoJP with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aidealab/AIdeaLab-VideoJP", 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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README.md
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# Model Card for AIdeaLab
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One of these challenges is that some creators and fans want to use video generation but can't, likely due to the lack of permission to use certain videos for training.
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To address this issue, we have developed AIdeaLab VideoJP.
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#### Features of AIdeaLab
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- Principally uses images with obtained learning permissions
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- Understands both Japanese and English text inputs directly
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- art
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# Model Card for AIdeaLab VideoJP
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One of these challenges is that some creators and fans want to use video generation but can't, likely due to the lack of permission to use certain videos for training.
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To address this issue, we have developed AIdeaLab VideoJP.
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#### Features of AIdeaLab VideoJP
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- Principally uses images with obtained learning permissions
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- Understands both Japanese and English text inputs directly
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