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100percentrobot/LTX-2.3-Audio-Reactive-LORA
LTX-2.3-Audio-Reactive-LORA is a image-to-video model from 100percentrobot. Use it for the image-to-video task on the model card, and read the license before you ship it in a product. It is set up for diffusers. The card lists the license as apache-2.0.
Still early stages and really just a proof of concept. Created to increase the responsiveness and synchronization of musical elements to changing visual elements within generated videos, AKA "Audio Reactive" content.
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From the Hugging Face model README
Still early stages and really just a proof of concept. Created to increase the responsiveness and synchronization of musical elements to changing visual elements within generated videos, AKA "Audio Reactive" content.
V1 shows a marked improvement over the base model, but further improvements are expected with more fine tuning.
Trained exclusively on custom synthetic data (which I may open source for training other multimodal models). I expect V2 to be much improved with a broader, less abstract sampling of audio reactive content and adjusted training settings.
If you want to submit some training samples I am accepting high quality well labeled data.
It's recommended to have 2-4 different 'phases' for optimal motion since this is the template the (current v1) training data uses, which I expect to improve with future versions and more diverse data. The base LTX-2.3 model still has some issues with low motion on shorter videos so 10-20 seconds produces better results. I usually find that batches of 4-8 will have some semi-useable results.
I2V was trained into the LORA but I haven't tested it extensively, and I expect motion to be less stable.
Trained with Ostris AI Toolkit Runpod template.
You should use continuous audio-reactive video to trigger the image generation.
You should use audio-reactive to trigger the image generation.
Download them in the Files & versions tab.