Causal Diffusion Transformer
Utilizes T2V-Turbo architecture to ensure that objects in the wan 2.6 video output remain consistent without morphing.
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
}'Begin met de kosten van één voorbeeld en kies een testbudget. De tarieven van GPTProto liggen 10% onder de catalogusprijs.
| Scenario | Qwen prijslijst | OpenRouter | GPTProto | Je bespaart / mnd |
|---|---|---|---|---|
| Korte productadvertenties30 × 8s / mnd | $36.00 | $37.98 | $32.40 | −$3.60≈ $43.20 / jr |
| Clips voor sociale media60 × 5s / mnd | $45.00 | $47.47 | $40.50 | −$4.50≈ $54.00 / jr |
| Genereren in grote aantallen100 × 10s / mnd | $150.00 | $158.25 | $135.00 | −$15.00≈ $180.00 / jr |
Technical highlights that set the wan 2.6 video model apart from other diffusion-based generators.
Causal Diffusion Transformer
Utilizes T2V-Turbo architecture to ensure that objects in the wan 2.6 video output remain consistent without morphing.
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.
Find answers about wan 2.6 video technical specs, API pricing, and how to achieve the best temporal consistency in your AI video projects.
Gidsen, vergelijkingen en updates over dit model.
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