About Wan2.1 1.3B - Text to Video
Wan-AI/Wan2.1-T2V-1.3B-Diffusers is a text-to-video diffusion model. It excels in generating 480P videos from text prompts efficiently on consumer-grade GPUs, requiring only 8.19GB of VRAM, while maintaining competitive video quality.
Some other noteworthy features of Wan-AI/Wan2.1-T2V-1.3B-Diffusers include bilingual prompt support (English and Chinese), aspect ratio control, and visual text rendering inside videos. Output video is silent; it does not generate audio.
| Metric | Value |
|---|---|
| Parameter Count | 1.3 billion |
| Mixture of Experts | No |
| Multilingual | Yes |
| Quantized* | No |
*Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.
Ready to build with Wan2.1 1.3B - Text to Video?
Try Wan2.1 1.3B - Text to Video in the Workbench to prompt it, compare outputs, and iterate on prompts without writing any code. When you're ready to ship, call the same model from our API and build your own apps on top of it.
curl -sSf -X POST https://hub.oxen.ai/api/ai/videos/generate \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "wan-ai-wan2-1-t2v-1-3b-diffusers",
"prompt": "A beautiful landscape painting of a serene lake with mountains in the background and an ox in the foreground.",
"height": 480,
"width": 640,
"negative_prompt": " ",
"num_inference_steps": 30,
"num_frames": 81,
"guidance_scale": 5
}'Request parameters
Every field Wan2.1 1.3B - Text to Video accepts in the request body. See the API reference for response formats.
https://hub.oxen.ai/api/ai/videos/generate| Field | Type | Required | Default | Description |
|---|---|---|---|---|
prompt | string | Yes | — | Prompt for generated image |
height | integer | No | 480 | Height of the video Range: 1 – 480 |
width | integer | No | 640 | Width of the video Range: 1 – 640 |
negative_prompt | string | No | — | Negative prompt for generated image |
num_inference_steps | integer | No | 30 | Number of diffusion steps to take Range: 1 – 100 |
num_frames | integer | No | 81 | Number of frames of video to generate Range: 1 – 120 |
guidance_scale | number | No | 5 | Guidance for generated video. Lower values can give more realistic videos. Range: 0 – 10 |
seed | integernullable | No | — | Random seed. Set for reproducible generation |