bytedance/seed/v2/mini
Seed V2 Mini by Bytedance - advanced AI model for llm. Delivers high-quality results with fast inference, suitable for both creative and production workflows.
PNG, JPEG, WebP, or GIF · 20 MiB maximum each
Example output — click Run to generate your own
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OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runbytedance/seed/v2/miniInput Schema
10 parameters · 1 required · 9 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The text prompt or question for the model. |
top_p | number | Optional | Nucleus sampling parameter. The model considers tokens with top_p cumulative probability mass. Lower values narrow the token selection. · Min: 0 · Max: 1 · Default: 0.7 |
images | string[] | Optional | URLs of images for visual understanding. Supported formats: JPEG, PNG, WebP. A maximum of 6 images is supported. Any additional images will be ignored. |
videos | string[] | Optional | URLs of videos for video understanding. Supported formats: MP4, MOV. Audio comprehension is not supported. A maximum of 3 videos is supported. Any additional videos will be ignored. |
messages | object[] | Optional | Optional prior conversation history for multi-turn conversations. Pass back the `messages` field from a previous response to provide context. The current `prompt`, `image_urls`, `video_urls`, and `system_prompt` are always appended as the latest user turn. |
thinking | string | Optional | Controls the model's chain-of-thought reasoning. `enabled` always includes reasoning, `disabled` never includes reasoning, `auto` lets the model decide based on the query. · Options: enabled, disabled, auto · Default: "enabled" enableddisabledauto |
temperature | number | Optional | Controls randomness in the response. Lower values make output more focused and deterministic, higher values make it more creative. · Min: 0 · Max: 2 · Default: 1 |
system_prompt | string | Optional | Optional system prompt to guide the model's behavior. |
reasoning_effort | string | Optional | Controls the depth of reasoning before the model responds. Only applicable when `thinking` is `enabled` or `auto`. `minimal` for immediate response, `low` for faster response with light reasoning, `medium` for balanced speed and depth, `high` for deep analysis of complex issues. · Options: minimal, low, medium, high minimallowmediumhigh |
max_completion_tokens | integer | Optional | Controls the maximum length of the model's output, including both the model's response and its chain-of-thought content, measured in tokens. · Min: 1 · Max: 65536 · Default: 4096 |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "bytedance/seed/v2/mini",
"top_p": 0.7,
"prompt": "What can you do?",
"thinking": "enabled",
"temperature": 1,
"max_completion_tokens": 4096
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Bytedance Seed V2 Mini
Bytedance Seed V2 Mini is built for compact text processing for lightweight language understanding and generation. It gives creative and production teams a focused way to move from an approved brief or source asset to a reviewable result without fragmenting the job across unrelated tools. The model is most valuable when visual intent, brand suitability, and downstream usability all matter, because its output can enter an editorial, campaign, product, or content pipeline as a purposeful asset rather than an isolated experiment.
In practice, teams can use Bytedance Seed V2 Mini during a structured cycle of briefing, generation, comparison, and refinement. Establish the subject, audience, visual objective, and acceptance criteria first; prepare any reference media at suitable quality; then evaluate alternatives for composition, continuity, realism, and communication value before delivery. This workflow keeps creative judgment central while making repeated production easier to review, reproduce, and scale for the specific bytedance/seed/v2/mini task.
Highlights
Efficient short-form generation. Efficient short-form generation gives bytedance › seed › v2 › mini a recognizable technical advantage: reviewers can assess this property directly in the generated asset instead of inferring it from request mechanics.
Instruction following. bytedance › seed › v2 › mini applies instruction following to the visual or temporal result itself, helping artists make a meaningful quality decision during selection and refinement.
Multilingual text handling. For bytedance › seed › v2 › mini, multilingual text handling supports coherent assets across the intended creative workflow and distinguishes this capability from a simple format or delivery option.
Low-cost high-volume processing. The practical value of low-cost high-volume processing is visible in the finished media from bytedance › seed › v2 › mini, where it supports repeatable art direction rather than merely exposing another request setting.
Pricing
| Prompt length | Price |
|---|---|
| Each started block of 1,000 characters | $0.000100 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| Use it when compact text processing for lightweight language understanding and generation is the central production goal | Choose a different model when the required media task is fundamentally different |
| The team needs several reviewable creative alternatives | Exact deterministic reproduction is mandatory |
| Visual quality and practical downstream use both matter | Editable source layers or native project files are required |
| A managed generation step fits the delivery workflow | A live frame-by-frame interactive editor is essential |
| The documented inputs cover the available source assets | Required source media or controls fall outside the documented fields |
Prompt Guide
State the intended result first, then describe the subject, environment, action, visual treatment, and delivery constraints. Keep instructions concrete, avoid conflicting directions, and change one creative variable at a time when comparing outputs. For source-driven work, describe what should remain recognizable as clearly as what should change.
{
"images": [
"Describe the intended result in clear visual terms."
],
"prompt": "What can you do?"
}
Technical Specs
| Property | Details |
|---|---|
top_p | Type / options: number · 0–1<br>Required: No<br>Description: Nucleus sampling parameter. The model considers tokens with top_p cumulative probability mass. Lower values narrow the token selection. |
images | Type / options: array<br>Required: No<br>Description: URLs of images for visual understanding. Supported formats: JPEG, PNG, WebP. A maximum of 6 images is supported. Any additional images will be ignored. |
prompt | Type / options: string<br>Required: Yes<br>Description: The text prompt or question for the model. |
videos | Type / options: array<br>Required: No<br>Description: URLs of videos for video understanding. Supported formats: MP4, MOV. Audio comprehension is not supported. A maximum of 3 videos is supported. Any additional videos will be ignored. |
messages | Type / options: array<br>Required: No<br>Description: Optional prior conversation history for multi-turn conversations. Pass back the messages field from a previous response to provide context. The current prompt, image_urls, video_urls, and system_prompt are always appended as the latest user turn. |
thinking | Type / options: string · enabled / disabled / auto<br>Required: No<br>Description: Controls the model's chain-of-thought reasoning. enabled always includes reasoning, disabled never includes reasoning, auto lets the model decide based on the query. |
temperature | Type / options: number · 0–2<br>Required: No<br>Description: Controls randomness in the response. Lower values make output more focused and deterministic, higher values make it more creative. |
system_prompt | Type / options: string<br>Required: No<br>Description: Optional system prompt to guide the model's behavior. |
reasoning_effort | Type / options: string · minimal / low / medium / high<br>Required: No<br>Description: Controls the depth of reasoning before the model responds. Only applicable when thinking is enabled or auto. minimal for immediate response, low for faster response with light reasoning, medium for balanced speed and depth, high for deep analysis of complex issues. |
max_completion_tokens | Type / options: integer · 1–65536<br>Required: No<br>Description: Controls the maximum length of the model's output, including both the model's response and its chain-of-thought content, measured in tokens. |
Related Models
bytedance/dreamactor/2.0bytedance/lynxbytedance/omnihuman/1.0

