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wavespeedai/wan-2.1-t2v-720p

Accelerated inference for Wan 2.1 14B text to video with high resolution, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation.

Capabilities

Negative PromptSeed

Cost

Community model (estimated from hardware time)

Input Parameters

promptrequiredstring

Text prompt for image generation

aspect_ratiostring

Aspect ratio of the output video.

Default: "16:9"
16:99:16
disable_safety_checkerboolean

Disable safety checker for generated videos

Default: false
fast_modestring

Speed up generation with different levels of acceleration. Faster modes may degrade quality somewhat. The speedup is dependent on the content, so different videos may see different speedups.

Default: "Balanced"
OffBalancedFast
lora_scalenumber

Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. You may still need to experiment to find the best value for your particular lora.

Default: 1min: 0, max: 4
lora_weightsstring

Load LoRA weights. Supports HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet.

negative_promptstring

Negative prompt to avoid certain elements

Default: ""
sample_guide_scalenumber

Guidance scale for generation

Default: 5min: 1, max: 10
sample_shiftinteger

Flow shift parameter for video generation

Default: 3min: 0, max: 10
sample_stepsinteger

Number of inference steps

Default: 30min: 1, max: 40
seedinteger

Random seed. Set for reproducible generation

Version: f5576aa30f5dUpdated: 7/25/202635.5K runs