Wan 2.1 T2V 720p LoRA

Playground

Generate unlimited AI videos with Wan 2.1 text to video model, supporting custom LoRAs.

Features

Wan 2.1 AI Video Model

We present Wan2.1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. Wan2.1 offers these key features:

👍 SOTA Performance: Wan2.1 consistently outperforms existing open-source models and state-of-the-art commercial solutions across multiple benchmarks.
👍 Multiple Tasks: Wan2.1 excels in Text-to-Video, Image-to-Video, Video Editing, Text-to-Image, and Video-to-Audio, advancing the field of video generation.
👍 Visual Text Generation: Wan2.1 is the first video model capable of generating both Chinese and English text, featuring robust text generation that enhances its practical applications.
👍 Powerful Video VAE: Wan-VAE delivers exceptional efficiency and performance, encoding and decoding 1080P videos of any length while preserving temporal information, making it an ideal foundation for video and image generation.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.1/t2v-720p-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "prompt": "p1x4r_5ty13 Pixar animation style. A young girl with long flowing hair, wearing a shiny spacesuit, stands on a small moon and faces the camera with wide-eyed wonder. Behind her, a massive planet looms in the sky, casting a soft glow. Beside her, a tiny rover quietly beeps as it scans a glowing alien rock. Soft cinematic lighting, emotional and dreamy atmosphere, ultra-detailed and whimsical",
    "negative_prompt": "",
    "loras": [
        {
            "path": "Remade-AI/Fire",
            "scale": 1
        }
    ],
    "size": "1280*720",
    "num_inference_steps": 30,
    "duration": 5,
    "guidance_scale": 5,
    "flow_shift": 5,
    "seed": -1,
    "enable_prompt_optimizer": false,
    "enable_safety_checker": true
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

Parameter	Type	Required	Default	Range	Description
prompt	string	Yes		-	The prompt for generating the output.
negative_prompt	string	No		-	The negative prompt for generating the output.
loras	array	No		max 3 items	The LoRA weights for generating the output.
loras[].path	string	Yes	-		Path to the LoRA model
loras[].scale	float	Yes	-	0.0 ~ 4.0	Scale of the LoRA model
size	string	No	1280*720	1280720, 7201280	The size of the generated media in pixels (width*height).
num_inference_steps	integer	No	30	1 ~ 40	The number of inference steps to perform.
duration	integer	No	5	5 ~ 10	The duration of the generated media in seconds.
guidance_scale	number	No	5	0.00 ~ 20.00	The guidance scale to use for the generation.
flow_shift	number	No	5	1.0 ~ 10.0	The shift value for the timestep schedule for flow matching.
seed	integer	No	-1	-1 ~ 2147483647	The random seed to use for the generation. -1 means a random seed will be used.
enable_prompt_optimizer	boolean	No	false	-	If set to true, the prompt optimizer will be enabled.
enable_safety_checker	boolean	No	true	-	If set to true, the safety checker will be enabled.

Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data.id	string	Unique identifier for the prediction, Task Id
data.model	string	Model ID used for the prediction
data.outputs	array	Array of URLs to the generated content (empty when status is not `completed`)
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.has_nsfw_contents	array	Array of boolean values indicating NSFW detection for each output
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

Result Query Parameters

Result Request Parameters

Parameter	Type	Required	Default	Description
id	string	Yes	-	Task ID

Result Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data	object	The prediction data object containing all details
data.id	string	Unique identifier for the prediction, the ID of the prediction to get
data.model	string	Model ID used for the prediction
data.outputs	array	Array of URLs to the generated content (empty when status is not `completed`)
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.has_nsfw_contents	array	Array of boolean values indicating NSFW detection for each output
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

Wan 2.1 T2v 720p Wan 2.1 T2v 720p Lora Ultra Fast