LTX-2.5: FLF2V is a focused ComfyUI workflow for turning two still images—your intended first and last frames—into a single, coherent video. It’s ideal for creating smooth transitions, morphs between subjects, or bridging shots in a sequence when you only have still references. Two LoadImage nodes supply the start and end visuals, which feed into a single LTX-2.5 FLF2V generator node (cf70afc4-5a03-47ce-8210-734b1de6c6bc). The resulting frames are handed to SaveVideo for encoding to a playable clip. A MarkdownNote is included with inline tips.
Under the hood, the LTX-2.5 node leverages Lightricks’ open video generation model and its keyframes-first “Pixel Diffusion” approach to synthesize in-between frames from your bookend images. Typical controls you’ll use are target resolution, number of frames (or duration), frames-per-second, and a random seed for reproducibility. Many builds also expose blending/easing options to bias the motion toward the first or last frame. SaveVideo then encodes the output at your chosen fps (MP4/WebM, depending on your ffmpeg setup).
For best results, match the aspect ratio and general lighting/composition of your two reference images. Larger frame counts and consistent content between the first and last frames usually produce smoother motion. If you see stretching or cropping, pre-crop your inputs to the same size before loading them into the workflow.
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/d78377cf53f4.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 this workflow (Python)
from comfy_sdk import Comfy
client = Comfy(api_key="comfyui-...")
wf = client.workflows.from_file("workflow_api.json")
job = client.run(wf)
for output in job.get_outputs("<output-node-id>"):
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
