Image-to-Video
Diffusers
Safetensors
video-generation
audio-video-generation
reference-to-video
long-video
multi-shot
dmd
Instructions to use jdopensource/JoyAI-Echo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jdopensource/JoyAI-Echo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jdopensource/JoyAI-Echo", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
Update pipeline tag to any-to-any
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by nielsr HF Staff - opened
README.md
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license: other
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license_name: ltx-2-community-license-agreement
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license_link: https://github.com/Lightricks/LTX-2/blob/main/LICENSE
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<p align="center">
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All original copyright, license, patent, trademark, and attribution notices
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from LTX-2 are retained. This project remains subject to the LTX-2 Community
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License Agreement.
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base_model:
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license: other
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license_name: ltx-2-community-license-agreement
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license_link: https://github.com/Lightricks/LTX-2/blob/main/LICENSE
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pipeline_tag: any-to-any
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tags:
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- image-to-video
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- video-generation
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- audio-video-generation
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- reference-to-video
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- long-video
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- multi-shot
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- dmd
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---
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<p align="center">
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All original copyright, license, patent, trademark, and attribution notices
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from LTX-2 are retained. This project remains subject to the LTX-2 Community
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License Agreement.
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