Video-to-Video
Diffusers
Safetensors
English
JoyVideoEditPipeline
video
video-editing
reference-image-guided
autoregressive-diffusion
Instructions to use jdopensource/JoyAI-Video-Edit-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jdopensource/JoyAI-Video-Edit-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jdopensource/JoyAI-Video-Edit-Diffusers", 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
docs: link training examples and LongV2VBench
Browse files
README.md
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## Links
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- [Project repository](https://github.com/jd-opensource/JoyAI-Video-Edit)
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- [Paper](https://arxiv.org/abs/2608.03974)
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- [Original checkpoint](https://huggingface.co/jdopensource/JoyAI-Video-Edit)
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- [Online demo](https://huggingface.co/spaces/wxDai/joyai-video-edit)
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## Links
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- [Project repository](https://github.com/jd-opensource/JoyAI-Video-Edit)
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- [Example training scripts](https://github.com/jd-opensource/JoyAI-Video-Edit/blob/main/training/README.md)
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- [LongV2VBench](https://huggingface.co/datasets/EasonXiao-888/LongV2VBench) — long-form video-to-video editing evaluation benchmark.
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- [Paper](https://arxiv.org/abs/2608.03974)
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- [Original checkpoint](https://huggingface.co/jdopensource/JoyAI-Video-Edit)
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- [Online demo](https://huggingface.co/spaces/wxDai/joyai-video-edit)
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