LTXV - Animating images that typically don't yield good results
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Model description
In this tutorial, we will learn how to animate images using LTXV, specifically those that initially do not yield good results.
The workflow used is a customized modification of the following workflow:
https://github.com/sandner-art/ai-research/blob/main/LTXV-Video/ltxvideo_I2V-motionfix.json
This approach was inspired by the idea of using blur effects to improve results, as proposed by VoidVisionary in:
The zip includes: The workflow, a .png image of the Mona Lisa without blur, a .png image of the Mona Lisa with blur and a .psd archive with the edition.
This workflow incorporates a modified version of the VAE created by SpacePXL, which you can find here:
https://huggingface.co/spacepxl/ltx-video-0.9-vae-finetune/tree/main
In this case, I am using ltx-video-v0.9-vae_finetune_all.safetensors, which you should place in the models/VAE folder of ComfyUI.
The model used for LTX is ltx-video-2b-v.0.9.1.safetensors, which should be placed in the models/checkpoints folder of ComfyUI:
https://huggingface.co/Lightricks/LTX-Video/tree/main
The text encoder used is t5-v1_1-xxl-encoder-Q6_K.gguf:
https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf/tree/main, which should be placed in the models/clip folder of ComfyUI.
This workflow utilizes the following custom nodes:
Once everything is set up, we will load the initial image of the Mona Lisa. If we use it as is (without blur) and render it, we will get a very limited animation. To enhance the animation, we will simply use a image editor, select the face, copy it, paste it onto another layer, and apply a slight horizontal motion blur. I’ve provided a Photoshop file where the face has been converted into a Smart Object with a horizontal motion blur of 12 applied. I also add the image of the Mona Lisa already blurred.
If we now copy and paste our modified image into ComfyUI, we will see a much smoother and more natural animation.
This technique can be applied to almost any image, and experimentation is encouraged.