Can you run Seedance 2.0 locally? Start by separating three things: the model that creates the video, the application that sends the request and the files you download afterwards. A client running on your laptop can still send generation to a hosted service.
In the official sources checked October 2, 2026, we did not find a Seedance 2.0 weights release and compatible offline inference instructions. The documented routes reviewed here use hosted access. That is a bounded finding about these sources, not a claim that every repository or later release has been exhaustively inspected.
This guide helps you choose the right route before spending time on a Seedance download or ComfyUI setup. For the model family and account allowances, use the Seedance overview. For reference roles and scene prompts, use the Seedance R2V guide.
What local means in a video generation workflow
| What runs on your computer | Where generation can happen | What you actually need |
|---|---|---|
| A browser or desktop interface | A hosted provider | Account access and the supported operation |
| A script or API client | A remote endpoint | Provider authentication, request schema and billing |
| A ComfyUI graph with a partner node | A remote generation service | The node's account and operation requirements |
| The inference model itself | Your own hardware | Model weights, compatible code, terms and hardware |
Saving a finished MP4 locally does not make its generation local. Neither does opening an interface at localhost. For an offline requirement, identify where inference happens and whether the workflow needs a remote generation request.
For a content campaign, hosted generation may still fit the job. For a pipeline that must work without external generation, you need a different acceptance condition. Write that condition first so a convenient interface does not get mistaken for the architecture you need.
What the official Seedance page documents
ByteDance's official Seedance page describes multimodal video generation and presents trial and API access routes. Those routes help you identify current hosted options. The page reviewed for this guide did not establish a model-weights download or an offline installation procedure.
Before treating any release as locally runnable, look for the exact model version, weights, inference code, usage terms and environment requirements. Keep the source links together. A technical paper, example gallery or downloadable workflow file alone does not provide all of those materials.
Seedance is a model family. An instruction for another version, a similarly named model or a third-party product should not be carried over to Seedance 2.0 without compatibility evidence. Record the complete model and operation name in your project notes.
Is Seedance open source because there is code on GitHub
A repository can contain a client, documentation, a node or example requests without containing the generation model. Read what the repository actually supplies before interpreting its name as a weights release.
The fal Seedance API repository explicitly provides documentation and examples for fal's platform. Its client examples send requests to a hosted endpoint and its response includes a video URL. That is a way to operate the service from your code; it is not evidence of offline model inference.
Open-source software around an API and downloadable model weights are separate claims. Licensing is also a separate question from whether a file can be downloaded. For this guide, the checked documentation supports hosted operation, while a complete official local Seedance installation remains unverified.
How Seedance works inside ComfyUI
ComfyUI's partner-node documentation explains using external models within a ComfyUI workflow and distinguishes those paid API calls from local open-source use. A local graph can combine remote generation with local finishing.
The official Seedance reference-node documentation says the node uploads references, submits a generation task, waits for completion and returns the finished video. Its model selector includes Seedance 2.0 alongside other variants. Select the intended version and inspect the inputs shown for it.
Use the documentation for the exact node in your graph. Different partner and community nodes can use different accounts and providers. A shared Seedance label does not prove identical authentication, input rules or billing.
- Identify the node and the service it calls.
- Check the selected model and operation.
- Review which reference files will be uploaded.
- Confirm account access and the current charge before submitting.
- Save the completed output and request settings together.
For an offline project, an API generation node does not meet the requirement merely because ComfyUI itself is installed locally. For a hybrid project, that same arrangement can be useful: organize the references locally, generate through the documented service and finish the result on your workstation.
Prepare one small hosted request before expanding the workflow
Download the original request brief. It is a JSON input example for fal's documented Seedance text-to-video operation. It asks for a fictional creator to make one small wave in a steady studio shot. It contains no API key or generated result.
The example uses a five-second duration, 720p, a landscape aspect ratio and no generated audio. These are settings for the cited provider's operation, not universal limits across every Seedance interface. Verify the current schema and price before using the brief.
{
"prompt": "One continuous medium shot of a fictional adult creator in a teal cardigan at an ivory studio desk making one small wave and lowering the hand while the camera remains steady",
"duration": "5",
"resolution": "720p",
"aspect_ratio": "16:9",
"generate_audio": false
}This is a text-only scene test. It does not define a recurring creator's exact identity. If your campaign depends on an approved character reference, choose the documented reference-to-video operation and use the R2V role map and original references instead of adding unsupported image fields to this request.
We validated the downloadable JSON structure and documented parameter values; we did not submit a paid generation. Keep that distinction in your own notes too: a correctly formed request and a useful downloaded clip are different outcomes.
Evaluate a download by what it contains
A Seedance download might be a finished video, a workflow JSON, an API client or a claimed model package. Each serves a different purpose. Identify which one you are receiving before deciding whether it solves your local-running requirement.
| Download | What it can provide | What it does not establish alone |
|---|---|---|
| Finished MP4 | A delivery or editing file | A locally runnable generation model |
| Workflow JSON | Node configuration and connections | The location of inference or all required model files |
| API client source | A program that operates a service | Offline generation |
| Model weights | A model asset for a compatible runtime | Working inference without code, terms and hardware checks |
Download the blank access worksheet. Record the source, exact version, download type, inference location, account requirement and evidence. Leave unresolved conditions marked unresolved instead of filling them with assumptions.
Choose a documented local alternative when offline inference matters
If local inference is essential, investigate a model with official weights and inference instructions for the task you need. The official Wan repository documents task-specific video models with weights and inference code. This establishes a local route to investigate, not an assertion that its outputs are equivalent to Seedance.
Choose text-to-video for a written scene, image-to-video for an approved starting image or a character-motion workflow when the performance is the input. Match the model to the job before choosing hardware. Use the Wan ComfyUI setup guide or the dedicated Wan Animate workflow for the corresponding path.
Compare the same production brief across routes. Review identity, action, export dimensions and finishing work. Count accepted clips and retries rather than assuming a model download automatically makes a campaign cheaper. Computing and setup effort belong in the decision.
Keep the creator and scene plan consistent across tools
Clout lets you create an original AI creator and coordinated photos and video scenes around that identity. Approve the look and keep the references organized, then choose the generation route that matches each shot. This supports your content workflow without claiming a downloadable native Seedance model inside Clout.
For a small series, plan an introduction, a gesture and a reaction. Keep the wardrobe, lighting and reference identity consistent. Review each original export before assembling the sequence. Continue with the consistent creator guide and camera movement prompts to make those scene briefs concrete.
