Seedance 2.5 Local Use: Can You Run 2.0 or 2.5 Offline?

A Seedance 2.5 local installation is not available from the official download sources checked on September 12, 2026. The ByteDance and ByteDance Seed Hugging Face model listings returned no Seedance matches, while the official 2.5 model page directed users to an app and an API.^[1]^[2] The same listing check did not identify downloadable Seedance 2.0 checkpoints.

You can still use Seedance from software running on your computer. ComfyUI, for example, added Seedance 2.5 through a Partner Node.^[3] The distinction is where generation happens: a local interface can send a request to a hosted model without downloading that model's weights. If offline inference is your requirement, choose a model that actually publishes checkpoints and a local inference implementation.

TL;DR

No Seedance checkpoints appeared in the two official Hugging Face model searches checked on September 12. This is a dated, scoped finding, not a claim about every file on the internet.^[1]
Seedance 2.5 is available in ComfyUI through Partner Nodes, announced August 8. Partner Nodes call external APIs and require a Comfy account, credits, and network access.^[3]^[4]
Wan 2.2 TI2V-5B has downloadable weights and a documented single-GPU command requiring at least 24GB VRAM with its listed memory-saving options.^[5]
HunyuanVideo-1.5 documents a minimum of 14GB GPU memory with model offloading, an NVIDIA CUDA GPU, Linux, and Python 3.10 or later.^[6]
If the required model is Seedance itself, reAPI's hosted API provides a documented request and polling workflow. Running the client locally does not move inference onto your GPU.^[7]

What Seedance 2.5 local deployment would require

Local inference needs the model's weights and compatible software that loads them. A prompt library, a web interface, and an API client can all be useful, but none supplies the missing checkpoint. A model name in a repository title is not enough to establish that the model can run offline.

For this update, we checked the official Seedance 2.5 page and the Seedance-filtered model lists under both ByteDance and ByteDance-Seed on Hugging Face. The model lists showed no match. The model page's access buttons pointed to Dreamina and BytePlus.^[1]^[2]

That evidence supports a practical answer: there is no official Seedance 2.0 or 2.5 checkpoint installation to recommend from those sources today. It does not support claims that every third-party repository is malicious, that no private deployment exists, or that ByteDance will never release weights.

Use four questions to evaluate a future download announcement:

Question	Evidence to look for
Who published it?	A model developer's official account or a download linked from its model page.
What is downloaded?	Model checkpoints, not only workflow JSON, prompts, sample videos, or client code.
How does inference run?	Documented code that loads those checkpoints and executes the model.
What use is permitted?	The model's own license and any conditions attached to its weights.

The same checks help answer searches for Seedance 2.5 open source. Open-source software around a model does not establish an open-weight release of that model. A client can have a permissive software license while still depending on a paid remote service.

What Seedance repositories on GitHub actually contain

Read the installation and configuration instructions before drawing conclusions from a GitHub title. The ByteDance Seed repository search inspected for this article did not produce a Seedance inference repository. Its results are useful evidence about that particular organization, not a census of all third-party projects.^[8]

ByteDance's own AgentKit sample gives a concrete example of the distinction. Its video-generation skill asks for an API key and exposes an API base URL configuration. The repository includes a change updating its default Seedance model to 2.5, but the published instructions still describe a client that calls a video service.^[9] Official client code and downloadable model weights are different deliverables.

For a third-party project, inspect the same parts: its configuration, the actual inference command, and the files the command loads. If it asks for a hosted-service key, determine what it sends and where. If it includes checkpoint links, identify the publisher and exact model family before treating them as Seedance.

A useful label for an API integration is “run a Seedance client locally.” Calling it “run Seedance locally” leaves out the part that matters to someone choosing hardware, planning offline work, or deciding where source media will be processed.

There is also no responsible Seedance 2.5 model size estimate to derive from these repositories. Without a published checkpoint and configuration, a claimed download size or GPU requirement would be speculation. Do not buy a GPU around a number attached to an unverified installer.

ComfyUI runs Seedance 2.5 through a hosted Partner Node

ComfyUI's August 8 announcement explicitly describes the integration as a Partner Node and provides text-to-video and reference-to-video workflow templates.^[3] The templates connect workflow nodes; they do not contain the underlying Seedance weights.

Comfy's documentation explains the runtime boundary: Partner Nodes connect to external model APIs. They require a logged-in Comfy account with a positive credit balance, along with connectivity to the service.^[4] Installing ComfyUI locally therefore gives you a local workflow editor while the Seedance request remains hosted.

If you already work in ComfyUI, follow these setup steps:

Update ComfyUI to a version containing the relevant Partner Nodes.
Sign in using the Comfy account controls and confirm the available credits.
Load the official Seedance 2.5 template from the template panel or the announcement.
Inspect the nodes that will call external services before adding source material.
Set the inputs and review the generation charge before submitting.

The version, account, and network requirements come from Comfy's Partner Node guide.^[4] We reviewed the documentation without submitting a charged Comfy generation.

Hybrid workflows can still be valuable. You might prepare an image with local tools, send selected references to Seedance, and process the returned video with local nodes. Comfy documents this combination of external and local components.^[4] If the requirement is that source files never leave the machine, inspect the entire workflow rather than assuming that a localhost address guarantees it.

Two downloadable video models with documented hardware

Wan 2.2 TI2V-5B and HunyuanVideo-1.5 provide concrete starting points for local video generation. Both publish model downloads and inference instructions. They are alternatives to hosted generation, not local editions of Seedance or evidence of equivalent output quality.^[5]^[6]

Local model	Published hardware guidance	Qualification that matters
Wan 2.2 TI2V-5B	At least 24GB VRAM for the documented single-GPU command.^[5]	The command uses model offloading, dtype conversion, and the text encoder on CPU.
HunyuanVideo-1.5	Minimum 14GB GPU memory with model offloading enabled.^[6]	The official environment uses an NVIDIA CUDA GPU, Linux, and Python 3.10 or later.

For Wan, choose the exact variant before using the memory figure. The TI2V-5B instructions support text-to-video and image-to-video in one model. Its documented landscape size is 1280×704, described as the model's 720p setting. The larger T2V-A14B reference command instead lists at least 80GB VRAM.^[5] “Wan 2.2 needs 24GB” is therefore too broad.

The Hunyuan figure also depends on configuration. Its 14GB minimum is explicitly measured with offloading enabled. The documentation says users with sufficient memory can disable offloading for faster inference.^[6] That is not a guarantee that every resolution, duration, optimization, and operating system will fit the minimum.

Start with the project's documented example and keep the variant, checkpoint, resolution, and offloading settings together in your notes. Then change one setting at a time. This makes an out-of-memory result useful: you know which change caused it instead of comparing unrelated minimum-memory claims.

We retrieved these hardware instructions on September 12; we did not benchmark either model on the reader's hardware. Check each project's current license before distributing a packaged application or using its weights commercially.

Choose local inference for the requirement it actually solves

Choose a downloadable model when operating without a hosted generation service is part of the requirement. Examples include working offline after setup, controlling the inference environment, or experimenting with the model's published training and adaptation tools. Confirm that any optional prompt-rewriting or enhancement components also run where you expect.

Choose a hosted Seedance route when using the specific Seedance model is the requirement. The reAPI API quickstart covers the first request, and the model page shows the playground and live rates. Its published contract supports text, image, first/last-frame, and reference-driven jobs, with asynchronous result retrieval.^[7]

Hardware ownership also changes the cost question. Local generation consumes hardware capacity, electricity, storage, and maintenance time. A hosted request has a listed charge and service-specific billing rules. Compare the costs over the amount of work you actually expect to complete, rather than dividing a GPU price by a guessed cost per clip.

If you already own suitable hardware, a local model may be worth trying before buying anything else. If you specifically need Seedance, purchasing more VRAM does not supply the missing official checkpoints. Keep the model requirement and the deployment requirement separate.

FAQ

Seedance 2.5 open source

No Seedance checkpoints were found in the official ByteDance and ByteDance Seed Hugging Face listings checked on September 12, 2026. The official 2.5 page directs users to app and API access.^[1]^[2]

Seedance 2.5 local

You can run an API client or workflow editor locally. That does not run the Seedance model on your GPU; Comfy's official integration uses external Partner Node APIs.^[4]

Seedance 2.5 GitHub

Check what a repository contains. ByteDance's own sample configures a video-service API key, so it demonstrates API integration rather than a local checkpoint installation.^[9]

Seedance 2.5 Hugging Face

The Seedance-filtered model lists under ByteDance and ByteDance Seed returned no matches during this review. A Space, demo, or third-party upload needs separate verification of where inference happens.^[1]

Seedance 2.5 ComfyUI

Yes, through the official Partner Node integration announced August 8, 2026. It requires the account, credits, and connectivity described in Comfy's documentation.^[3]^[4]

Seedance 2.5 system requirements

There is no official local-checkpoint requirement to recommend from the sources checked. For API access, follow the client or interface requirements. For local alternatives, use the exact model's published hardware configuration.^[1]^[4]

Seedance 2.5 model size

The checked official pages did not provide a downloadable Seedance 2.5 checkpoint size. A workflow file's size or an API client's package size cannot be used to estimate the model's weights.^[1]^[2]

Seedance 2.5 open weight

An official open-weight release was not found in the checked sources as of September 12. This finding does not predict whether ByteDance will release weights later.^[1]

Match the deployment to the job

For Seedance 2.5 local use, decide whether you need a local interface or local inference. The first has a documented ComfyUI route; the second needs a downloadable model such as the alternatives above. To use Seedance itself through a documented service, start with Seedance 2.5 on reAPI.

References

ByteDance and ByteDance Seed. Official Hugging Face model listings filtered for Seedance. Retrieved September 12, 2026 from huggingface.co/ByteDance/models and huggingface.co/ByteDance-Seed/models.
ByteDance Seed. Seedance 2.5 official model page and access buttons. Retrieved September 12, 2026 from seed.bytedance.com/en/seedance2_5.
Comfy. Seedance 2.5 is now available via Partner Nodes. Published August 8, 2026; retrieved September 12, 2026 from blog.comfy.org/p/seedance-25-is-now-available-via.
Comfy. Partner Nodes: external API services, account requirements, credits, and network access. Retrieved September 12, 2026 from docs.comfy.org/tutorials/partner-nodes/overview.
Wan-Video. Wan2.2: model downloads and single-GPU inference instructions. Retrieved September 12, 2026 from github.com/Wan-Video/Wan2.2.
Tencent Hunyuan. HunyuanVideo-1.5: system requirements and checkpoint instructions. Retrieved September 12, 2026 from github.com/Tencent-Hunyuan/HunyuanVideo-1.5.
reAPI. Seedance 2.5 API documentation. Retrieved September 12, 2026 from reapi.ai/docs/seedance-2-5.
ByteDance Seed. Official GitHub organization repository search. Retrieved September 12, 2026 from github.com/orgs/ByteDance-Seed/repositories.
ByteDance. AgentKit samples: Seedance video-generation skill. Retrieved September 12, 2026 from github.com/bytedance/agentkit-samples.