How do I get synchronized audio (music or dialogue) in the video?

Include audio cues directly in your prompt (e.g., “uplifting synth music,” “footsteps echo,” or “character whispers: ‘Hello’”) and ensure audio is enabled in ByteDance2TextToVideoNode. Keep cues short and specific so Seedance 2.5 can align them plausibly to the scene.

What are the limits for clip length and resolution?

This workflow is designed for clips up to 30 seconds. 1080p (1920x1080) is the default, but you can set other aspect ratios by adjusting width/height (e.g., 1080x1920 for vertical or 1080x1080 for square). Higher resolutions or longer durations may increase generation time and are not guaranteed beyond the stated limits.

Can I reproduce a result exactly using the same seed?

Using the same prompt, settings, and seed often yields similar results, but exact reproducibility is not guaranteed across API versions or model updates. For stable iterations, keep all parameters identical and only change one variable at a time.

Where is the video saved and what format is used?

SaveVideo writes an MP4 file to your configured output directory (commonly ComfyUI/output). If the ByteDance2TextToVideoNode returns an audio track, it is preserved in the saved MP4.

Seedance2.5 1080P: Text to Video

This workflow turns plain text descriptions into cinematic 1080p video clips with optional synchronized sound using Seedance 2.5. At its core is the ByteDance2TextToVideoNode, which sends your prompt and generation settings (duration, resolution, aspect ratio, FPS, seed) to the Seedance 2.5 backend and returns a finished video stream that can include music, ambience, and simple dialogue aligned to the scene. The SaveVideo node then writes the result to disk as an MP4, preserving the audio track when present.

Technically, you control the visual output by setting width/height (1920x1080 by default) or any custom aspect ratio the model supports, plus a duration cap of up to 30 seconds. The node also exposes a seed so you can iterate with reproducible variations. Because generation is API-based, you get consistent performance without local GPU setup. The simple two-node graph keeps things lean: ByteDance2TextToVideoNode handles synthesis; SaveVideo handles encoding and file naming—ideal for quick iterations, social-ready formats (landscape, square, vertical), and prompt-driven story beats.

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/afa2656c1d4e.json

Fetching 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

Frequently Asked Questions

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