This ComfyUI workflow, titled 'Squish Anything with LTX-2 I2V and LoRA', enables users to transform static images into dynamic, squished animations. Leveraging the LTX-2 I2V model, this workflow takes an uploaded image and applies the Squish It LoRA effect to create a unique animated sequence. The workflow is designed to be intuitive, utilizing nodes such as LoadImage for importing images and SaveVideo for exporting the final animation. The b7c2d337-c38d-4c04-922b-2d638449d13e node plays a crucial role in managing the transformation process, ensuring that the animation maintains a smooth and consistent flow.

Technically, the workflow operates by first loading an image using the LoadImage node. The image is then processed through a subgraph node, which applies the Squish It LoRA effect. This effect is particularly effective at creating exaggerated, cartoon-like animations that can be both entertaining and visually striking. The LTX-2 I2V model is pivotal in this process, as it interprets the image data and generates a video sequence that reflects the squished effect. The final video is saved using the SaveVideo node, allowing for easy sharing and further editing if needed. This workflow is particularly useful for artists and content creators looking to add a playful, animated twist to their images.

API

Use this workflow from code

Every Comfy workflow is a JSON graph. The payload below is this workflow, exactly as ComfyUI runs it — fetch it from the URL, keep it in version control, or load it in ComfyUI and run it node by node.

GET https://comfy.org/workflows/download/c666b9b4014e.json
Fetching workflow JSON…

Run it from Python or TypeScript with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.

# Install (beta)
pip install comfy-sdk        # Python
npm i @comfyorg/sdk          # TypeScript

# Run "Squish Anything with LTX-2 I2V and LoRA" (Python)
from comfy_sdk import Comfy

client = Comfy(api_key="comfyui-...")

# This workflow, exported in API format (see note below)
wf = client.workflows.from_file("video_ltx2_i2v_lora_api.json")

asset = client.assets.from_file("input.png")
wf.set_input("98", "image", asset)  # LoadImage

job = client.run(wf)
for output in job.get_outputs("75"):  # SaveVideo
    output.to_file(output.name)

The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API). API access requires a Comfy Cloud plan with an API key. SDK docs · Get an API key

FAQ

Frequently Asked Questions

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