WaveSpeedAI Seedance V1.5 Pro Video Generation

Generate videos using ByteDance's Seedance V1.5 Pro model via the WaveSpeed AI platform. Supports both text-to-video and image-to-video generation with 4-12 second duration at up to 1080p resolution, with optional audio generation.

Setup

Install the open-source CLI once and sign in; the CLI stores the key, so never ask the user to paste an API key into the chat:

npm install -g @wavespeed/cli
wavespeed login          # opens https://wavespeed.ai/accesskey and stores the key
wavespeed status         # confirms you are signed in

For CI or one-off shells, WAVESPEED_API_KEY in the environment also works.

Prefer MCP tools over shell commands? The same platform is exposed by @wavespeed/mcp (npx -y @wavespeed/mcp; tools search_models, get_model_schema, get_price, upload_file, run_model, get_prediction). It shares the CLI's stored login. Every example below maps one-to-one onto run_model with the same model id and input fields.

Quick Start

Text-to-Video

OUTPUT_URL=$(wavespeed run bytedance/seedance-v1.5-pro/text-to-video \
  -p "A golden retriever running through a field of sunflowers at sunset" \
  --json | jq -r '.outputs[0]')

Image-to-Video

The image parameter accepts an image URL. If you have a local file, pass it with the @path marker and the CLI uploads it and substitutes the hosted URL.

# Upload a local image to get a URL
OUTPUT_URL=$(wavespeed run bytedance/seedance-v1.5-pro/image-to-video \
  -i image=@./photo.png \
  -p "The person slowly turns and smiles at the camera" \
  --json | jq -r '.outputs[0]')

Existing URLs work as-is:

OUTPUT_URL=$(wavespeed run bytedance/seedance-v1.5-pro/image-to-video \
  -i image="https://example.com/photo.jpg" \
  -p "The person slowly turns and smiles at the camera" \
  --json | jq -r '.outputs[0]')

API Endpoints

Text-to-Video

Model ID: bytedance/seedance-v1.5-pro/text-to-video

Generate videos from text prompts.

Parameters

Example

OUTPUT_URL=$(wavespeed run bytedance/seedance-v1.5-pro/text-to-video \
  -p "A timelapse of a city skyline transitioning from day to night, cinematic slow pan" \
  -i aspect_ratio="21:9" \
  -i duration=10 \
  -i resolution="1080p" \
  -i generate_audio=true \
  -i camera_fixed=false \
  --json | jq -r '.outputs[0]')

Image-to-Video

Model ID: bytedance/seedance-v1.5-pro/image-to-video

Animate a source image into a video using a text prompt. Optionally provide an end-frame reference image.

Parameters

Example

OUTPUT_URL=$(wavespeed run bytedance/seedance-v1.5-pro/image-to-video \
  -i image=@./landscape.png \
  -p "Clouds drift slowly across the sky, water ripples gently" \
  -i resolution="1080p" \
  -i duration=8 \
  -i generate_audio=true \
  -i camera_fixed=true \
  --json | jq -r '.outputs[0]')

With End-Frame Reference

OUTPUT_URL=$(wavespeed run bytedance/seedance-v1.5-pro/image-to-video \
  -i image=@./start-frame.png \
  -i last_image=@./end-frame.png \
  -p "Smooth transition from day to night" \
  -i duration=8 \
  --json | jq -r '.outputs[0]')

Pricing

Prompt Tips

• Describe scene, style, subject actions, camera motion, and mood in your prompt
• Use camera_fixed: true for stable tripod-style shots
• Use camera_fixed: false and describe camera motion: "slow pan left", "tracking shot", "zoom in"
• Set generate_audio: false when you plan to add your own audio track
• Use smart duration (duration: -1) to let the model choose the best length for text-to-video

CLI tips

# Inspect the live input schema before running (fields, enums, defaults)
wavespeed run bytedance/seedance-v1.5-pro/text-to-video -h

# Quote the price first
wavespeed price bytedance/seedance-v1.5-pro/text-to-video -p "..." -i key=value

# Save outputs to disk instead of only printing URLs
wavespeed run bytedance/seedance-v1.5-pro/text-to-video -p "..." --json --download "./out/{index}.{ext}"

# Local files: prefix the path with @ and the CLI uploads it and passes the hosted URL
wavespeed run bytedance/seedance-v1.5-pro/text-to-video -i <field>=@./local-file.png --json

# Recover a result if the run was interrupted (the id is in the --json output)
wavespeed show <id>

run --json prints { id, model, prompt, outputs: [url, ...], saved: [path, ...], elapsed_ms, raw }. Read outputs[0] for the result URL.

Security constraints

• Never ask for the key in chat: wavespeed login handles auth; if wavespeed status says signed out, ask the user to run it.
• Local files only via @: bare paths are passed through untouched and the model will reject them. Only @-prefixed values upload.
• No arbitrary URL loading: only pass media URLs the user provided or that came back from a previous run.
• Input validation: only pass parameters documented above; confirm with wavespeed run <model> -h when unsure.