BytePlus

Use BytePlus in Diaflow as a ready-to-use AI node for text, image, video, and multimodal content workflows.

1. The "Ready-to-Use" AI (Overview)

Zero setup, zero API keys. Just drag, drop, and start prompting using Diaflow's built-in AI credits.

BytePlus shines when you want one AI family for text, images, and video. You can write with DeepSeek V3.2, work with visual inputs using Seed 1.6, generate polished images with Seedream, and create short videos with Seedance.

2. How to Add the Node

On your canvas, open the node picker, search for BytePlus, and click it to add the node to your workflow.

3. What can you automate? (The "Wow" Use Cases)

1. The Campaign Content Factory

Use DeepSeek V3.2 to turn briefs, notes, and upstream workflow data into sales copy, landing page drafts, outreach messaging, or internal summaries at scale.

2. The Visual Ad Studio

Use Seedream to create ad concepts, hero visuals, social creatives, and product campaign artwork without waiting on a full design cycle.

3. The Short-Form Video Builder

Use Seedance to turn written ideas or visual references into short promo clips, launch teasers, and fast creative concepts for paid or organic campaigns.

4. Step-by-Step: Configuration & Smart Data Injection

1. Choose your Brain (Model):

Select your model from the dropdown based on the job.

BytePlus does not use many mini or flash labels in this Platform node. As a simple rule, use the lighter text options for faster everyday work, and choose Pro models when output quality matters most.

Use DeepSeek V3.2 for everyday text work. Use Seed 1.6 when you want the model to work with images or video. Use Seedream for image creation and Seedance Pro models for higher-quality video output.

2. Write the Prompt & Inject Data:

The easiest way to add live workflow data is to type @ on your keyboard. Diaflow opens a visual dropdown so you can pick dynamic data from earlier steps.

Typing {{ also works perfectly if you prefer the classic bracket syntax.

Put your task, goals, tone, and output rules directly into the main Prompt box.

If you want the node to remember earlier turns, turn on Memory. If you expect repeated requests, turn on Caching for text runs.

3. Attach Media:

If you use Seed 1.6, you can pass images and short video files from earlier steps so the model can work from visual context.

If you use Seedream, you can also pass reference images to guide the generated result. This is useful for visual consistency across campaigns.

5. The Output: Seeing Your Results

This node returns the result based on the model you chose.

For text models, it returns generated text. For image and video models, it returns the generated media result so you can pass it into the next step.

Use {{node_name.data}} in your next step, like Gmail or Google Sheets, to pass the generated text or media forward.

You will also see input_token and output_token. Since Diaflow handles the billing, these tokens simply act as a meter so you can track how many credits your workflow is consuming.

For image and video runs, those token fields may show 0. That is expected on this node.

6. Golden Rules & Guardrails (CRITICAL PRO-TIPS)

File/Image Limits:

For Seed 1.6, supported image types include jpg, jpeg, png, gif, webp, bmp, tiff, and tif.

Supported video types are mp4, avi, and mov.

Video files must stay under 50 MB.

Audio inside a video is not understood, so rely on the visuals only.

For Seedream, you can pass up to 4 reference images.

You can generate 1 to 10 images in a single image run.

The System Prompt Trap:

System instructions are available for BytePlus text models.

For the clearest and most consistent results, put your Persona/System instructions directly into the main Prompt box.

Auto-Streaming:

The AI will think quietly and return the full complete answer at once.

Video runs can take longer:

Video creation is not instant.

Some runs may take several minutes before the final result is ready. Give the step time to finish before retrying.

Know what this node does not do:

This node does not support live tool use inside the model response.

If you need generated images or video, that works well here. If you need the model to take action inside another app by itself, use a later workflow step for that.

7. Need Help?

Last updated 22 days ago