Seedance 2.0 in ComfyUI: API Setup & Full Overview 2026

Seedance 2.0 is ByteDance’s most capable AI video model yet — and it’s officially heading to ComfyUI. If you’ve seen the demo clips and wondered what it would take to use it in your own workflows, here’s everything you need to know. This guide breaks down what Seedance 2.0 actually is, how the ComfyUI integration works (API-based, not local), what it costs, and how it stacks up against open-source alternatives you can run for free right now.

🔍 What is Seedance 2.0?

Seedance 2.0 is ByteDance’s flagship multi-modal AI video generation model. Unlike most video models that take a single image or text prompt as input, Seedance 2.0 accepts combinations of images, video clips, and audio simultaneously — then uses natural language to describe how you want to blend them.

The model can replicate camera movements from a reference clip, maintain character consistency across frames, generate context-aware sound effects, and extend or edit existing video segments. It’s designed for commercial-quality output: the kind of cinematic consistency that’s historically required a full production crew.

Seedance 2.0 is the successor to Seedance 1.5 Pro, which had strong image-to-video capabilities but lacked the audio synthesis and multi-reference system that define the new version. The model is currently accessible via ByteDance’s web interface at seedance.ai, with a ComfyUI API node integration announced in February 2026 and confirmed in development as of this writing.

⚡ Why Use Seedance 2.0?

The core appeal is quality and flexibility that no open-source model currently matches at this level. Here’s what makes it stand out:

• ✅ Multi-modal input — up to 9 images, 3 video clips (15s total), and 3 audio files in a single generation
• ✅ Camera replication — upload a reference clip, describe the movement you want, and Seedance applies it precisely
• ✅ Character consistency — faces, clothing, and visual style remain stable across the full clip, not just the opening frames
• ✅ Built-in audio generation — synthesizes sound effects and background music from context; syncs to uploaded audio beats
• ✅ Video extension & editing — extend a clip forward or backward, merge segments, or swap characters in existing footage
• ✅ Natural language referencing — tag uploaded assets in your prompt (@image1, @video1) to tell the model exactly what to pull from each file

In practice, the output quality — especially motion smoothness and face consistency — is ahead of anything currently available to run locally.

🎬 Seedance 2.0 Key Features in Depth

Now that the model is on its way to ComfyUI, it’s worth understanding each capability before you start building workflows around it.

🎥 Multi-Modal Input System

The input system is what makes Seedance 2.0 genuinely different. You can combine:

• Images (PNG, JPG, WEBP) — used as reference frames, character references, or style guides
• Video clips — for camera movement replication, motion reference, or footage to extend or connect
• Audio files — for beat-syncing, voice matching, or ambient sound reference

In your text prompt, you reference each uploaded asset by name. The model interprets natural-language instructions like “use the camera movement from @video1 and apply it to the scene in @image1.” This tagging system removes a lot of the ambiguity that comes with purely text-based prompting.

🎯 Reference Anything System

The reference system goes beyond style transfer. You can reference:

• Specific motion patterns from a video — walk cycles, hand gestures, dance choreography
• Camera movements — dolly shots, crane moves, tracking shots, handheld
• Character appearance from multiple reference images simultaneously
• Audio patterns including rhythm, tempo, and ambient texture

This is particularly useful for replicating results. Once you find a camera movement or motion style that works, you can extract it from any clip and apply it consistently to new generations.

📐 Output Specifications

🛠️ How to Use Seedance 2.0 in ComfyUI

Here’s the thing: Seedance 2.0 in ComfyUI is API-based — not a local model you download and run. The ComfyUI node sends your prompt and uploaded assets to ByteDance’s inference servers and streams the result back. You still build your workflow in the familiar node graph, but the actual generation happens in the cloud.

The integration was announced by the official ComfyUI X account on February 19, 2026. As of March 2026, the API launch has seen minor delays. Check ComfyUI Manager for the latest node availability before following the steps below.

✅ Step 1 – Set Up ComfyUI

You need a working ComfyUI installation with ComfyUI Manager. If you’re starting from scratch, the Desktop version handles dependencies automatically and is the easiest path for most users. The Seedance API node works with both the Desktop and portable installs.

✅ Step 2 – Install the Seedance Node

Once the node is available in the registry:

1. Open ComfyUI Manager (the Manager button in the top bar)
2. Click Install Custom Nodes
3. Search for Seedance or ByteDance Video
4. Install the node pack and restart ComfyUI

💡 Tip: If the node isn’t in the registry yet when you check, look for a direct GitHub URL on r/comfyui — community members consistently post unofficial install links before the official registry listing goes live, sometimes by days or weeks.

✅ Step 3 – Get a Seedance API Key

Before you can generate anything, you need API credentials from ByteDance:

1. Go to seedance.ai and create an account
2. Navigate to API Keys or Developer settings in your account dashboard
3. Generate a new API key and store it securely

⚠️ Warning: Seedance credits are consumed per generation. Higher resolutions and longer durations cost significantly more credits. Start with 480p / 5s while testing to avoid burning your budget on configuration experiments.

✅ Step 4 – Configure the Seedance Node

1. Add the Seedance node to your workflow canvas
2. Enter your API key in the credentials field (or via ComfyUI’s credential manager if supported)
3. Connect input nodes: LoadImage for reference images, LoadVideo for motion references
4. Set your resolution, duration, and aspect ratio in the node parameters
5. Write your prompt, tagging assets: "A cinematic tracking shot of @image1 walking through a neon street, using the camera movement from @video1"
6. Queue the prompt — the node sends everything to the API and streams the video back when generation completes

✅ Step 5 – Post-Process Locally

One of the strongest arguments for the ComfyUI integration over the Seedance web app is hybrid workflows. After generation, you can:

• Pass the output to a local upscaler node (e.g., VideoUpscale with Real-ESRGAN) to enhance resolution without paying for 1080p API credits
• Apply local color grading, film grain, or stylistic effects with custom nodes
• Run a face restoration pass for close-up shots using GFPGAN or CodeFormer nodes

You’re not just calling an API — you’re embedding it in a larger pipeline where local processing adds value at no additional cost.

⚖️ Seedance 2.0 vs Open-Source Alternatives

The most common question in the community right now: is Seedance 2.0 worth paying for when Wan 2.2 and LTX-2 are free and run locally? The honest answer is it depends entirely on what you’re making.

For most iterative work — testing ideas, generating lots of variations, running overnight batches — the free local models are the better choice. API costs accumulate fast once you’re cycling through iterations.

Where Seedance 2.0 pulls ahead is final production quality, particularly for client work or any output where character face consistency and audio sync are non-negotiable. The multi-reference system also has no local equivalent right now.

Let me be honest: the gap between commercial and open-source video models has closed significantly in the last year. Veo 2 looked untouchable a year ago; Wan 2.2 produces comparable results today for most use cases. Expect the same trajectory here — the LTX team reportedly hinted at response improvements after Seedance 2.0’s release. Give it 6–12 months.

💰 Seedance 2.0 Pricing

Seedance 2.0 operates on a credits-based subscription model. Specific tier pricing shifts between model versions, so check seedance.ai for the current plans. Based on Seedance 1.5 pricing patterns and community feedback:

• Monthly subscription with a fixed credits allocation
• Credits consumed per second of generated video at the selected resolution
• Higher resolution and longer duration cost proportionally more credits
• Community consensus: the monthly allocation runs out quickly for iterative workflows

⚠️ Warning: Seedance 1.5 users have reported that content policy rejections can still consume credits, returning a distorted output rather than a clean refusal. Test edge-case prompts at 480p / 5s first to validate they’ll generate cleanly before committing higher-resolution credits.

🛠️ Troubleshooting

💡 Tips & Best Practices

💡 Tip: Use Wan 2.2 or LTX-2 for iteration and Seedance 2.0 for final renders. You get free local experimentation with no limits, and you spend credits only when you’re confident the output is worth producing at full quality.

💡 Tip: For camera replication, upload a single continuous clip with no cuts. If your reference video has multiple cuts, the model blends the movements together and replicates none of them accurately. A clean, uncut clip gives you precise results.

💡 Tip: Be specific when referencing assets. Instead of “use the camera from @video1,” write “apply the slow right-to-left dolly from @video1 that starts at the 3-second mark.” The model responds to specificity, and vague references produce averaged, inconsistent results.

💡 Tip: For character consistency across multiple generations, upload 3–5 reference images from different angles rather than just one. The model builds a 3D understanding of the face and clothing from multiple views — a single reference leaves too much ambiguity.

💡 Tip: Generate at 720p via API, then upscale locally to 1080p using a ComfyUI video upscaler node. You get 1080p-equivalent output at 720p credit cost, and local upscalers like Real-ESRGAN handle the detail enhancement well.

💡 Tip: Build your workflow so the Seedance output node feeds directly into a local post-processing chain. The moment you have to manually export and re-import between tools, the integration stops feeling worth it — keep the entire pipeline in ComfyUI.

✅ Final Thoughts

Seedance 2.0 is genuinely impressive — the multi-modal input system and camera replication capabilities represent a real step beyond what’s currently possible with local open-source models. The ComfyUI integration makes it practical to embed in complex pipelines and pair with local post-processing, which is where it becomes most cost-effective.

That said, it’s API-only and subscription-based, which makes it a production tool rather than a sandbox. For most workflows, free local options — Wan 2.2 for motion quality, LTX-2 for speed — still cover the majority of use cases. The open-source video space is moving fast, and the gap narrows with every major release cycle.

If you’re doing professional-grade video work where the output quality needs to be client-ready, Seedance 2.0 holds a real lead right now. Monitor ComfyUI Manager for the node release, and keep an eye on the open-source alternatives — the next 12 months are going to be interesting.

Happy generating!

❓ FAQ

❓ Q: Is Seedance 2.0 available locally in ComfyUI or is it API only?

Seedance 2.0 is API-only in ComfyUI — there is no local model download. The ComfyUI node sends your inputs to ByteDance’s servers and returns the rendered video. You need an active internet connection and a Seedance API subscription to use it, regardless of whether you’re running ComfyUI locally or in the cloud.

❓ Q: Does Seedance 2.0 in ComfyUI have content restrictions?

Yes — API-based generation through the Seedance node uses server-side content filters, which are considerably more restrictive than running an open-source model locally. Based on community reports from Seedance 1.5, borderline content can be rejected silently, sometimes consuming credits without returning usable output. If censorship is a concern for your workflow, local models like Wan 2.2 have no such restrictions.

❓ Q: How does Seedance 2.0 compare to WAN 2.2 and LTX-2 for video quality?

Seedance 2.0 produces smoother motion and better face consistency than both Wan 2.2 and LTX-2, particularly for longer clips and multi-character scenes. For simple single-character shots at shorter durations, the gap is noticeably smaller. Wan 2.2 and LTX-2 are free, run locally, and cover most everyday generation tasks well — Seedance 2.0 earns its keep for final production output where quality is the priority.

❓ Q: When will the Seedance 2.0 ComfyUI node be available?

The integration was announced on February 19, 2026, but has experienced minor delays. As of March 2026, the node is confirmed in active development. Check ComfyUI Manager and the official ComfyUI GitHub — the community on r/comfyui also tracks these releases closely and often posts install links before official registry listings.

❓ Q: Does the Seedance 2.0 API node work with a local ComfyUI installation?

Yes. The node works with any ComfyUI installation — local Desktop, portable, or cloud-hosted. You install it via ComfyUI Manager, input your API key in the node’s credential field, and the generation happens transparently on ByteDance’s servers. Your local instance acts purely as the workflow interface.

📚 Additional Resources

• Official Seedance 2.0 Website — live demo and generation interface
• ComfyUI X Announcement — original announcement post from the ComfyUI team
• r/comfyui Seedance 2.0 Thread — community discussion, pricing reactions, and workaround tips

📚 Related Guides

• Install Wan 2.2 in ComfyUI: Complete Local Setup Guide
• WAN 2.2 vs LTX-2: Which AI Video Model Wins in 2026?
• Kling 3.0 Motion Control in ComfyUI: Complete Setup Guide
• Run ComfyUI in the Cloud: Comfy Cloud vs Alternatives
• Best GPU Cloud Providers: Vast.ai vs RunPod vs TensorDock
• ComfyUI Portable vs Desktop