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LTX-2.5: FLF2V

Generate a video from first and last frame reference images using LTX-2.5, blending both frames into a single animated sequence. Ideal for creating transition shots, morphing between two subjects or scenes, and building multi-shot narratives from still references.

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Input

The image the video starts on.

The image the video ends on.

Describe what happens between the two frames, the camera and the sound.

Length of the video in seconds.

Output size in pixels. Both frames are resized and cropped to fit.

Output size in pixels. Both frames are resized and cropped to fit.

Advanced settings

Let a small language model rewrite your prompt from the first frame before generating. Turn off to use your prompt exactly.

Frames per second for the video and its audio.

Default: 24

What to avoid in the result.

Leave empty for a new result each run. Enter a number to repeat one.

Run

Output
00:00
Example

例を試す

このワークフローについて

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.

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