Free to try Flux 3 Text-to-Video AI Model API by Black Forest Labs for native-audio video, expressive motion, multilingual dialogue, and multimodal scene creation.
// Step 1: Submit generation requestconst response = awaitfetch('https://api.flaq.ai/api/v1/video/task', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
},
body: JSON.stringify({
model_name: 'flux-3.0-text-to-video',
prompt: 'A cinematic aerial shot of a coastal city at sunrise',
resolution: '1080p',
aspect_ratio: '16:9',
duration: 10,
sound: true
})
});
const { data } = await response.json();
const taskId = data.;
Try the AI Video Generator now
Related Models
README
Advanced FLUX 3 Text-to-Video API with Native Audio
Black Forest Labs FLUX 3 Text-to-Video API turns natural-language prompts into polished video with optional native
audio. Built on a unified multimodal foundation model trained across image, video, and sound, FLUX 3 can coordinate
motion, physical events, speech, effects, and atmosphere within one generation workflow. Through Best Image AI, developers and
creative teams can integrate expressive text-to-video generation into production pipelines for advertising,
storytelling, social content, and visual experimentation.
Key Features of FLUX 3 Text-to-Video API
Unified Video and Audio Generation: Create visual motion and optional native sound together, including dialogue,
effects, and environmental ambience aligned with the generated scene.
Advanced Prompt Understanding: Translate simple concepts or detailed shot directions into coherent action, camera
behavior, scene changes, and visual storytelling.
Multimodal World Modeling: Produce more believable relationships between movement, weight, impact, cause and
effect, and the sounds associated with physical events.
Multi-Scene Video Creation: Generate evolving sequences with multiple shots, viewpoints, and connected moments
within a single prompt-driven workflow.
Expressive Human Performance: Capture facial expressions, body language, spoken performance, and synchronized
speech for character-led video.
Broad Style and Typography Support: Move across cinematic footage, animation, documentary aesthetics, motion
design, and text-rich visual treatments.
Agentic Clip Chaining: Use generated shots as building blocks for longer, connected stories while maintaining
characters and creative direction across scenes.
How to Use FLUX 3 Text-to-Video API on Best Image AI
Input: A natural-language prompt describing the subject, action, setting, camera direction, visual style,
dialogue, and desired sound.
Output: High-quality generated video delivered through secure CDN URLs for use in applications and automated media
workflows.
Creative Direction: Guide camera movement, pacing, scene changes, performance, and visual treatment through
descriptive prompts.
Audio Control: Generate video with optional native dialogue, sound effects, and ambience as part of the same
request.
Best Use Cases for FLUX 3 Text-to-Video API Integration
Advertising and Brand Campaigns: Produce product films, campaign concepts, branded motion pieces, and promotional
video with coordinated visual and audio direction.
Film and Story Development: Transform scripts, treatments, and shot descriptions into moving concepts for
storyboarding, previsualization, and creative review.
Dialogue and Character Content: Generate expressive performances with speech, facial emotion, body movement, and
scene-aware sound for narrative projects.
Social and Creator Workflows: Create platform-ready short-form video across diverse styles and layouts for
campaigns, channels, and rapid content testing.
Scalable Media Applications: Add prompt-driven video generation to creative tools, marketing systems,
entertainment products, and automated production pipelines.
Note
Please ensure prompts and content generated with FLUX 3 comply with Black Forest Labs' usage and safety requirements. If a request
fails, review the prompt for restricted content, simplify conflicting instructions, and try again.
FLUX 3 Text-to-Video vs Competitors: Comparative Analysis
FLUX 3 vs. FLUX.2
FLUX.2 focuses on high-quality image generation and editing. FLUX 3 extends the FLUX family into prompt-driven video
and optional native audio through a unified multimodal architecture.
FLUX 3 vs. Veo 3.1 Text-to-Video
Veo 3.1 provides cinematic video and audio generation within Google's creative ecosystem. FLUX 3 offers a distinct
API option centered on broad stylistic range, expressive performance, typography, and multimodal world modeling.
FLUX 3 vs. Kling 3.0 Text-to-Video
Kling 3.0 is designed for controllable motion and cinematic scene generation. FLUX 3 differentiates through joint
video-audio reasoning, multilingual speech, varied visual styles, and connected multi-scene creation.
FLUX 3 vs. Runway Gen-4.5
Runway Gen-4.5 emphasizes visual fidelity, prompt adherence, and integration with established creative tooling. FLUX
3 combines API-based video generation with optional native audio, animated design, and a multimodal model of physical
events.
FLUX 3 vs. Seedance 2.0
Seedance 2.0 supports multimodal references, audiovisual generation, and production-oriented control. FLUX 3 provides
an alternative focused on unified image-video-audio learning, diverse aesthetics, expressive characters, and flexible
prompt-led workflows.
# Step 1: Submit generation requestimport requests
response = requests.post(
'https://api.flaq.ai/api/v1/video/task',
headers={
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
},
json={
'model_name': 'flux-3.0-text-to-video',
'prompt': 'A cinematic aerial shot of a coastal city at sunrise',
'resolution': '1080p',
'aspect_ratio': '16:9',
'duration': 10,
'sound': True
}
)
result = response.json()
task_id = result['data']['task_id']
Polling Example
# Step 2: Poll for results
task_id = response.json()['data']['task_id']
poll_url = f"https://api.flaq.ai/api/v1/video/{task_id}"whileTrue:
poll_result = requests.get(poll_url, headers={'Authorization': 'Bearer YOUR_API_KEY'}).json()
status = poll_result['data']['task_status']
if status == 'succeed':
print(poll_result['data']['task_result']['videos'][0]['url'])
breakif status == 'failed':
print(poll_result['data']['task_status_msg'])
break
time.sleep(10)
Submit Example
# Step 1: Submit generation request
curl -X POST https://api.flaq.ai/api/v1/video/task \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model_name": "flux-3.0-text-to-video",
"prompt": "A cinematic aerial shot of a coastal city at sunrise",
"resolution": "1080p",
"aspect_ratio": "16:9",
"duration": 10,
"sound": true
}'
Polling Example
# Step 2: Poll for results# Replace {task_id} with the task_id returned from the submit response
curl -X GET "https://api.flaq.ai/api/v1/video/{task_id}" \
-H "Authorization: Bearer YOUR_API_KEY"
