WAN2_2_I2V_LIGHTNING_4_8step_custom_generate_video – 1 MCP server offers this tool
What it usually takes
duration_seconds– in 1 of 1flow_shift– in 1 of 1frame_multiplier– in 1 of 1guidance_scale– in 1 of 1guidance_scale_2– in 1 of 1input_image– in 1 of 1last_image– in 1 of 1negative_prompt– in 1 of 1prompt– in 1 of 1quality– in 1 of 1randomize_seed– in 1 of 1safe_mode– in 1 of 1
No server marks it as only reading: treat it as able to change data.
From each publisher's own tool list. We never call a tool.
Servers
| Server | Inputs | Read-only? |
|---|---|---|
WAN2.2 I2V LIGHTNING-Video-4-8step co.huggingface.saravutw/wan2.2_i2v_lightning_4-8step_custom Generate a video from an input image using the Wan 2.2 14B I2V model with Lightning LoRA. This function takes an input image and generates a video animation based on the provided prompt and parameters. It uses an FP8 qunatized Wan 2.2 14B Image-to-Video model in with Lightning LoRA for fast generation in 4-8 steps. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: tuple: A tuple containing:, - video_path (str): Path for the video component., - video_path (str): Path for the file download component. Attempt to avoid reconversion in video component., - current_seed (int): The seed used for generation., Raises:, gr.Error: If input_image is None (no image uploaded)., Note:, - Frame count is calculated as duration_seconds * FIXED_FPS (24), - Output dimensions are adjusted to be multiples of MOD_VALUE (32), - The function uses G | duration_seconds,flow_shift,frame_multiplier,guidance_scale,guidance_scale_2,input_image,last_image,negative_prompt,prompt,quality,randomize_seed,safe_mode,scheduler,seed,steps,video_component | Not stated |