Do I need two different images, or can I use the same one twice?

The workflow is designed for two references: one for identity and another for pose or style. If you only have one, you can feed it to both inputs, but you’ll likely get less dynamic motion or variety compared to using a complementary second image.

What image preparation yields the best consistency?

Use sharp, well-lit images with similar aspect ratios and framing. For identity, ensure the subject’s face and key features are large and unobstructed. Keep backgrounds simple on the identity image and let the second image carry pose, outfit, or scene cues.

How do I control duration, FPS, and resolution?

Set them in the ByteDance2ReferenceNode (for how many frames to generate and at what size) and finalize FPS/encoding in SaveVideo. For faster iteration, start with shorter durations and lower resolutions, then upscale or extend once you’re happy with motion and identity.

Is the output deterministic? Can I lock a seed?

If ByteDance2ReferenceNode exposes a seed parameter, setting it will help reproduce results. Otherwise, expect small variations between runs due to stochastic generation. Keep references and settings consistent to minimize drift.

Seedance 2.0 Mini: Reference to Video

Seedance 2.0 Mini: Reference to Video turns two still images into a single, cinematic video with AI-driven camera motion and strong character consistency. In ComfyUI, the workflow is compact and focused: two LoadImage nodes feed the ByteDance2ReferenceNode (the generator that runs the Seedance 2.0 Mini model), and the frames are encoded to a final clip with SaveVideo. By supplying a pair of complementary references—commonly one close-up for identity and one wider image for pose, outfit, or scene—the model blends cues to maintain the same subject across time while moving the virtual camera for a polished, shot-like result.

Technically, ByteDance2ReferenceNode ingests both reference images and synthesizes a sequence of frames conditioned on those visuals. It handles motion, composition, and temporal coherence internally, so you don’t need a separate sampler or flow node. SaveVideo then assembles the generated frames to your chosen resolution and FPS. The minimal node set makes this ideal for rapid iteration: swap references, adjust motion/length settings in the generator, and quickly export clips for storytelling, branded content, or short-film beats where continuity and shot language matter.

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/fd3af468b1e2.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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