Image to video
Use an image as the opening frame and describe how it should move.
AI image-to-video workflow
Organize image-to-video work as a reusable local-first workflow: choose an opening frame, add an ending frame or references when the model supports them, and keep the prompt and result with your project.
Use an image as the opening frame and describe how it should move.
Provide opening and ending images to guide both endpoints of the video.
Use up to four images to guide subjects, scenes, or visual details.
Every model below has passed Orqra capability verification for at least an opening-frame workflow. The labels show the specific image inputs verified for each model.
Write the scene direction and add the opening, ending, or reference images the task needs.
Keep reusable subject, scene, and style content separate from the instruction for this run.
Select a model that matches the input mode, set its available video options, then review and reuse the saved result.
Prompt Fabric keeps reusable creative content separate from task instructions. Save recurring descriptions and directions as templates, insert them when needed, and adjust each copy for the shot. It organizes the request; it does not guarantee model output quality.
Learn Prompt FabricConnect your OpenRouter account, add the image to a video node, choose a verified model, write the motion direction, and run. When a provider needs a media URL, use the HTTPS storage you configured.
The current verified list includes Seedance 2.5, Seedance 2.0, Seedance 2.0 Fast, Veo 3.1, Veo 3.1 Fast, MiniMax H3, and MiniMax H3 Max. Their supported input modes differ.
It helps you separate and reuse creative content and task instructions, then inspect the assembled request before a run. It does not automatically optimize or guarantee the result.