Experience accelerated image-to-video generation with wan-2.1-i2v-480p. Powered by the Wan 2.1 14B model suite, delivering efficient 480p video synthesis for research and production use.
The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.
prompt
Type:string
Default value:-
Description:Prompt for video generation
image
Type:image
Default value:-
Description:Input image to start generating from
num_frames
Type:int
Default value:81
Description:Number of video frames. 81 frames give the best results
Range:
Min: 81
|
Max: 100
max_area
Type:enum
Default value:832x480
Description:Maximum area of generated image. The input image will shrink to fit these dimensions
Choices:832x480, 480x832
frames_per_second
Type:int
Default value:16
Description:Frames per second. Note that the pricing of this model is based on the video duration at 16 fps
Range:
Min: 5
|
Max: 24
fast_mode
Type:enum
Default value:Balanced
Description: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.
Choices:Balanced, Off, Fast
sample_steps
Type:int
Default value:30
Description:Number of generation steps. Fewer steps means faster generation, at the expensive of output quality. 30 steps is sufficient for most prompts
Range:
Min: 1
|
Max: 40
sample_guide_scale
Type:int
Default value:5
Description:Higher guide scale makes prompt adherence better, but can reduce variation
Range:
Min: 0
|
Max: 10
sample_shift
Type:int
Default value:3
Description:Sample shift factor
Range:
Min: 1
|
Max: 10
lora_weights
Type:string
Default value:
Description:Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, 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. For example, 'fofr/flux-pixar-cars'
lora_scale
Type:int
Default value:
Description:Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
Range:
Min: 1
seed
Type:int
Default value:0
Description:Random seed. Leave blank to randomize the seed
Examples
Pricing
Model pricing for vmodel/wan-2.1-i2v-480p. Looking for volume pricing? Get in touch.