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wavespeedai/wan-2.1-t2v-480p

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

Capabilities

Negative Prompt Seed

Cost

Community model (estimated from hardware time)

Input Parameters

prompt required string

Text prompt for image generation

aspect_ratio string

Aspect ratio of the output video.

Default: "16:9"
16:9 9:16
disable_safety_checker boolean

Disable safety checker for generated videos

Default: false
fast_mode string

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"
Off Balanced Fast
lora_scale number

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: 1 min: 0, max: 4
lora_weights string

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_prompt string

Negative prompt to avoid certain elements

Default: ""
sample_guide_scale number

Guidance scale for generation

Default: 5 min: 1, max: 10
sample_shift integer

Flow shift parameter for video generation

Default: 3 min: 0, max: 10
sample_steps integer

Number of inference steps

Default: 30 min: 1, max: 40
seed integer

Random seed. Set for reproducible generation

Version: 7677a619127e Updated: 2/26/2026 184.6K runs