Hunyuan Video Text to Video
tencent/hunyuan-video/text-to-videoHunyuan Video is Tencent's text-to-video AI model. Turn written scripts and prompts into professional-quality video clips with realistic motion, lighting, and scene composition.
- Base price
- $0.40USD / run
- Execution
- async
- Model type
- video
- Input fields
- 3
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Playground
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Complete the inputs, then click Run.
Model card
Specifications
Pricing
- Base price
- $0.40 / run
Context & modalities
- Input
- Schema-defined
- Output
- video
Capabilities
- Chat
- Not supported
- Vision
- Not supported
- Reasoning
- Not supported
- Structured output
- Not supported
- Function calling
- Not supported
- Audio input
- Not supported
Access
- Provider
- Tencent
- Model ID
- tencent/hunyuan-video/text-to-video
- Execution
- async
- Base URL
- https://api.sandbase.ai
- API
- Unified Run API
- Endpoint
- /v1/run
API README
Hunyuan Video Text to Video
Teams can place this named operation inside review, asset preparation, and publishing pipelines while keeping the original request attached to every result. Hunyuan Video is Tencent's text-to-video AI model. Turn written scripts and prompts into professional-quality video clips with realistic motion, lighting, and scene composition. Hunyuan Video Text to Video provides a focused path for the tencent/hunyuan-video/text-to-video workflow for text to video work in video production. Because tencent/hunyuan-video/text-to-video is a separate catalog entry, evaluations should use this route’s own inputs, output expectations, and billing behavior. The endpoint is especially useful when a project has a defined transformation goal and needs a repeatable request contract instead of an ad-hoc desktop step. That scope belongs to this named route, not to a neighboring version.
prompt controls the prompt to generate the video from; resolution controls the resolution of the video to generate; resolution accepts 480p, 580p, 720p; aspect ratio controls the aspect ratio of the generated image; aspect ratio accepts 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16. Hunyuan Video Text to Video exposes prompt, resolution, aspect_ratio as its documented request surface. For example, the route documentation includes “A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse.”. The mandatory portion is prompt. Applications can submit that exact shape asynchronously, retain the chosen arguments in job metadata, and collect the resulting media URL for review or publishing.
Highlights
- Coherent motion. Hunyuan Video Text to Video is built to turn the route’s text or reference media into a temporally connected sequence rather than unrelated frames.
- Shot direction. Prompts can describe subject action, camera movement, pacing, and atmosphere so Hunyuan Video Text to Video has a concrete motion plan.
- Reference-aware generation. When this route accepts source media, Hunyuan Video Text to Video uses it to anchor identity, composition, or the clip boundary throughout generation.
- Production variants. Declared duration, resolution, framing, or inference controls support repeatable video options for review and selection.
Pricing
| Billing option | Price |
|---|---|
| Per request | $0.400000 |
When to Use
| Scenario | Why it fits |
|---|---|
| Choose Hunyuan Video Text to Video | Use it when the job specifically calls for text to video and the route’s documented input contract matches assets already available in your workflow. |
| Keep the request reproducible | Use the required prompt explicitly, then record optional choices alongside the prompt for repeatable reruns. |
| Build controlled creative variations | Change one declared control at a time when comparing framing, format, duration, resolution, style, or other route-supported output decisions. |
| Integrate asynchronous delivery | Use this endpoint when an application can submit work, track completion, and collect the returned media URL instead of requiring an immediate inline artifact. |
| Validate before a large batch | Run representative prompts and source assets first, confirm the visual or audio behavior, then lock the successful request shape for scaled production. |
Prompt Guide
Lead with the subject or transformation, then add the composition, environment, style, lighting, motion, voice, or fidelity details relevant to this route. Keep every parameter inside the documented schema; the example below uses only fields declared for tencent/hunyuan-video/text-to-video.
{
"prompt": "A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse.",
"resolution": "480p",
"aspect_ratio": "21:9"
}
Technical Specs
| Specification | Details |
|---|---|
| Model ID | tencent/hunyuan-video/text-to-video |
| Execution mode | async |
| Task type | video |
prompt | string · required |
resolution | string · optional · choices: 480p, 580p, 720p |
aspect_ratio | string · optional · choices: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 |
Related Models
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OpenAI-compatible endpoint with unified authentication and usage tracking.
# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(curl --fail-with-body --silent \
-X POST "https://api.sandbase.ai/v1/run" \
-H "Authorization: Bearer $SANDBASE_API_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'SANDBASE_JSON'
{
"model": "tencent/hunyuan-video/text-to-video",
"prompt": "A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse.",
"resolution": "720p"
}
SANDBASE_JSON
)
run_id=$(printf '%s' "$result" | jq -r .id)
for attempt in $(seq 1 120); do
status=$(printf '%s' "$result" | jq -r .status)
case "$status" in completed|failed|timeout) break ;; esac
sleep 2
result=$(curl --fail-with-body --silent \
-H "Authorization: Bearer $SANDBASE_API_KEY" \
"https://api.sandbase.ai/v1/run/$run_id")
done
status=$(printf '%s' "$result" | jq -r .status)
[ "$status" = completed ] || { echo "Generation ended: $status" >&2; exit 1; }
printf '%s\n' "$result"Choose your model
Compare models
| Model | Type | Default price | Released |
|---|---|---|---|
Hunyuan Video Text to VideoThis model Tencent | Video | $0.40 / run | Oct 22, 2024 |
Tencent | Video | $0.38 / run | Nov 21, 2025 |
Questions
FAQ
How do I call Tencent Hunyuan Video Text to Video through SandBase?
Create a SandBase API key, then send requests with the model ID "tencent/hunyuan-video/text-to-video" to Unified Run API (/v1/run) at https://api.sandbase.ai. The request examples on this page show the exact payload.
Do I need a separate Tencent account?
No. One SandBase API key and balance gives you access to Tencent Hunyuan Video Text to Video and the other models in the catalog; you do not need to sign up with Tencent separately.
