WAN 2.6 - Video to Video

Try WAN 2.6 - Video to Video in the Workbench

Run this model interactively, tune parameters, and compare outputs.

Model ID: wan-v2-6-reference-to-video WAN 2.6 - Video to Video is a diffusion model designed for reference-based video generation with character and identity consistency. It excels in generating cinematic videos from reference footage while maintaining stable character appearance, voice characteristics, and motion style across multiple shots. Some noteworthy use cases of WAN 2.6 - Video to Video include character-driven storytelling, brand-consistent video creation, and multi-character dialogue scenes with synchronized audio.

Metric	Value
Parameter Count	Unknown
Mixture of Experts	Unknown
Context Length	Unknown
Multilingual	Unknown
Quantized*	Unknown

*Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.

Notes on the description: The search results provided information about WAN 2.6’s general capabilities (text-to-video, image-to-video, and reference-to-video modes), output specifications (up to 1080p, 15 seconds, native audio with lip-sync), and technical features (multimodal architecture, temporal stability). However, specific technical details such as parameter count, mixture of experts status, context length, multilingual support, and quantization information for the Fal-hosted wan/v2.6/reference-to-video endpoint were not found in the search results. The description focuses on the reference-to-video capability as specified in your model identifier, which the sources confirm is a core feature with strong identity retention and character consistency.

Example request

Use the Workbench as a request builder: configure parameters for this model in the UI, then open the API tab to copy the exact cURL or Python call.

Sync
Async
Async with SSE

This blocks until the video is ready (typically 5-15 minutes). Prefer Async or Async with SSE for anything beyond quick experimentation.See the video generation reference for more details.

Minimal
Basic parameters

curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "wan-v2-6-reference-to-video",
  "prompt": "An ox slowly walking down the road. Cinematic."
}'

curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "wan-v2-6-reference-to-video",
  "prompt": "An ox slowly walking down the road. Cinematic.",
  "input_videos": [
    "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4"
  ]
}'

See the async queue reference for more details.

Minimal
Basic parameters

# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "wan-v2-6-reference-to-video",
  "prompt": "An ox slowly walking down the road. Cinematic."
}' | jq -r '.generations[0].generation_id')

# Poll the single generation until it 404s (terminal state).
while curl -s -o /dev/null -w "%{http_code}" \
    -H "Authorization: Bearer $OXEN_API_KEY" \
    "https://hub.oxen.ai/api/ai/queue/$GEN_ID" | grep -q "^200$"; do
  sleep 5
done
echo "Done. See the 'Async with SSE' tab to receive the result URL."

# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "wan-v2-6-reference-to-video",
  "prompt": "An ox slowly walking down the road. Cinematic.",
  "input_videos": [
    "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4"
  ]
}' | jq -r '.generations[0].generation_id')

# Poll the single generation until it 404s (terminal state).
while curl -s -o /dev/null -w "%{http_code}" \
    -H "Authorization: Bearer $OXEN_API_KEY" \
    "https://hub.oxen.ai/api/ai/queue/$GEN_ID" | grep -q "^200$"; do
  sleep 5
done
echo "Done. See the 'Async with SSE' tab to receive the result URL."

See the async queue reference for more details.

Minimal
Basic parameters

# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "wan-v2-6-reference-to-video",
  "prompt": "An ox slowly walking down the road. Cinematic."
}' | jq -r '.generations[0].generation_id')

# Stream the SSE channel, grab the data line that follows a
# media_generation_completed event for our id, and pretty-print it.
curl -sN -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/events \
  | awk -v id="$GEN_ID" '
    /^event: media_generation_completed$/ { expect=1; next }
    /^data: / && expect {
      payload = substr($0, 7)
      if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit }
      expect = 0
    }
  ' | jq .

# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "wan-v2-6-reference-to-video",
  "prompt": "An ox slowly walking down the road. Cinematic.",
  "input_videos": [
    "https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4"
  ]
}' | jq -r '.generations[0].generation_id')

# Stream the SSE channel, grab the data line that follows a
# media_generation_completed event for our id, and pretty-print it.
curl -sN -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/events \
  | awk -v id="$GEN_ID" '
    /^event: media_generation_completed$/ { expect=1; next }
    /^data: / && expect {
      payload = substr($0, 7)
      if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit }
      expect = 0
    }
  ' | jq .

Fetch model details

The models endpoint returns the full model object, including its json_request_schema.

curl -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/ai/models/wan-v2-6-reference-to-video

Request parameters

Required parameters

Field	Type	Default	Description
`prompt`	`string`	`"An ox slowly walking down the road. Cinematic."`	Text description of what you want to generate, or the instruction on how to edit the given image.

Optional parameters

Field	Type	Default	Description
`input_videos`	`array<string>`	`["https://hub.oxen.ai/api/repos/ox/Oxen-AI-Assets/file/main/images/winter_summer_ox.mp4"]`	Videos to use as reference.

Inference API

Try WAN 2.6 - Video to Video in the Workbench

​Example request

​Fetch model details

​Request parameters

​Required parameters

​Optional parameters

Example request

Fetch model details

Request parameters

Required parameters

Optional parameters