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.

Input
Configure the inputs for the AI model.

Random seed. Set for reproducible generation

Text prompt for image generation

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.

0
4

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.

Aspect ratio of the output video.

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.

0
10

Flow shift parameter for video generation

1
40

Number of inference steps

Negative prompt to avoid certain elements

1
10

Guidance scale for generation

Disable safety checker for generated videos

Output
The generated output will appear here.

No output yet

Click "Generate" to create an output.

wan-2.1-t2v-480p - ikalos.ai