This ComfyUI workflow, built around the LTX-2.3 video model, turns a single reference image into a short, coherent video clip with controllable motion and style. It uses your uploaded first frame (LoadImage in the First Frame group) as a strong visual anchor, optionally blends in an ending reference from the Last Frame group, and lets you steer the scene with natural language prompts. Text conditioning is handled by CLIPTextEncode and LTXAVTextEncoderLoader in the Conditioning group, while LTXVAddGuide fuses your reference frame(s) into the model’s conditioning stream.
Under the hood, EmptyLTXVLatentVideo creates the video latent with your chosen resolution, frame count, and FPS. RandomNoise seeds the generation, and sampling is performed with SamplerEulerAncestral guided by CFGGuider and a ManualSigmas schedule for stable, consistent motion. LTXVConcatAVLatent pairs the video latent with an audio latent (LTXVEmptyLatentAudio by default, resulting in silence) so your output is a proper A/V container. Final frames are decoded efficiently with VAEDecodeTiled and written to disk via SaveVideo. Utility nodes like GetImageSize and LTXVCropGuides help you frame the subject reliably, and LTXVPreprocess normalizes your input image to the model’s expected space. The result is a fast, practical pipeline for turning a single image into a smooth, on-style video clip.
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/bb33cc433026.jsonFetching 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 "LTX-2.3: FLF2V" (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_3_flf2v_api.json")
asset = client.assets.from_file("input.png")
wf.set_input("39", "image", asset) # LoadImage
job = client.run(wf)
for output in job.get_outputs("68"): # 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
