Causal Diffusion Transformer
Utilizes T2V-Turbo architecture to ensure that objects in the wan 2.6 video output remain consistent without morphing.
Wan 2.6
The wan 2.6 video model by Alibaba delivers high-fidelity cinematic output with superior temporal consistency. Grounded in a Causal Diffusion Transformer, it excels at complex physics and precise motion control for professional video production.
API Usage Examples
curl --request POST "https://gptproto.com/api/v3/alibaba/wan-2.6/image-to-video" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
"negative_prompt": "",
"image": "",
"resolution": "720P",
"duration": 5,
"prompt_extend": false,
"audio": "",
"shot_type": "single",
"seed": 1
}'Wan 2.6 pricing
Start from the cost of a single sample and pick a testing budget. GPTProto rates are 10% below list price.
Your usage
$0.675 / sec
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| Model | Resolution | Input → Output | ||
|---|---|---|---|---|
| $0.09 per second | 720p · 1080p | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | |
| $0.22 per time | 2K · more | Input: TextInput: Image Output: Video | ||
| $0.09 per time | more | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | ||
| — | $0.11 per second | 480p · 720p | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | |
| $0.34 per second | 4k | Input: TextInput: Image Output: Video | ||
| — | $0.02 per second | 480p · 720p | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | |
| $0.34 per second | 4k | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | ||
| — | $0.04 per second | 480p · 720p | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | |
| $0.02 per second | 720p · 1080p · more | Input: ImageInput: VideoInput: Audio Output: Video | ||
| $0.09 per second | — | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | ||
| $0.03 per second | 540p · 720p · 1080p | Input: TextInput: Image Output: Video | ||
| $0.04 per second | 540p · 720p · 1080p | Input: TextInput: Image Output: Video | ||
| — | $0.05 per time | — | Input: Video Output: Video | |
| — | $1.20 per time | — | Input: TextInput: ImageInput: Video Output: Video | |
| — | $3.20 per time | — | Input: TextInput: ImageInput: Video Output: Video | |
| $0.03 per second | 1080p · more | Input: Image Output: Video | ||
| $0.44 per time | — | Input: TextInput: Image Output: Video | ||
| $0.09 per time | 1K · more | Input: TextInput: Image Output: Video | ||
| — | $0.50 per time | — | Input: TextInput: ImageInput: VideoInput: Audio Output: Video | |
| — | $0.30 per second | 720p · 1080p | Input: TextInput: Image Output: Video | |
| — | $0.10 per second | 720p | Input: TextInput: Image Output: Video | |
| $0.04 per second | 480p · 720p · 1080p | Input: TextInput: Image Output: ImageOutput: Video | ||
| $0.28 per time | — | Input: Image Output: Video | ||
| $0.09 per time | — | Input: Image Output: Video | ||
| $0.39 per time | — | Input: Image Output: Video |
Core wan 2.6 video Features
Technical highlights that set the wan 2.6 video model apart from other diffusion-based generators.
Native I2V Adherence
Maintains strict pixel-level adherence to your starting frame, preventing jumps common in other video models.
Realistic Physics Simulation
The wan 2.6 video engine excels at fluid dynamics, producing realistic water splashes and hair movement.
Efficient 3D VAE Compression
Employs a 3D VAE that compresses video data significantly for faster inference times while maintaining 1080p quality.
wan 2.6 video Frequently Asked Questions
Find answers about wan 2.6 video technical specs, API pricing, and how to achieve the best temporal consistency in your AI video projects.
How does wan 2.6 video ensure consistent motion?
The wan 2.6 video model uses a Causal Diffusion Transformer (T2V-Turbo) architecture. This technical approach prevents objects from morphing or shifting their identity mid-clip, ensuring that a 10-second video maintains the same character and environment details from the first frame to the last.
What is the max resolution for wan video output?
Native generation for wan is 720p, which can be upscaled to high-fidelity 1080p. The model supports various aspect ratios including 16:9, 9:16, and 1:1, making it versatile for both cinematic film production and social media content like TikTok or Instagram Reels.
Can I use wan for Image-to-Video (I2V) tasks?
Yes, wan 2.6 video offers robust Image-to-Video (I2V) features. It provides strict adherence to the reference image, ensuring the generated motion starts exactly from the provided pixels. This is ideal for animating game assets or maintaining character consistency across different shots.
How long does a wan 2.6 video generation take?
Generation typically takes 20 to 30 seconds of processing time for every one second of video produced. A standard 5-second wan clip usually finishes within 2 to 3 minutes, depending on the chosen quality tier and current server load on the GPTProto platform.
Is my data used to train the wan model?
Data privacy is a priority at GPTProto. Prompts and videos generated using the wan 2.6 video API are not used for model training. We offer an opt-out policy for all enterprise traffic to ensure your creative assets and proprietary prompts remain private and secure.
How does wan 2.6 video pricing work?
Standard 720p quality is priced at $0.08 per second, while Pro 1080p quality is $0.15 per second. Image-to-Video tasks are billed at the same rate based on the output duration. We also offer a 20% discount for batch generations of over 50 concurrent clips.
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