Model reference · open weights

HunyuanVideo-1.5-480p_i2v_step

Available as managed deployment Licence fee Video hunyuanvideo-community Image→video 1 variants 1k dl/mo

HunyuanVideo-1.5-480p_i2v_step is an open-weight video model from hunyuanvideo-community. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released byhunyuanvideo-community
TypeVideo models
TaskImage→video
Parameters (lead)8.3B
Runs withdiffusers
Released2025-12-07
Popularity1k downloads / month
LicenceCommercial licence needed

About

What HunyuanVideo-1.5-480p_i2v_step is

Hunyuan1.5 use attention masks with variable-length sequences. For best performance, we recommend using an attention backend that handles padding efficiently.

We recommend installing kernels (pip install kernels) to access prebuilt attention kernels.

You can check our documentation to learn more about all the different attention backends we support.

Read the full model card
import torch

dtype = torch.bfloat16
device = "cuda:0"
from diffusers import HunyuanVideo15ImageToVideoPipeline, attention_backend
from diffusers.utils import export_to_video, load_image

pipe = HunyuanVideo15ImageToVideoPipeline.from_pretrained("hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-480p_i2v_step_distilled", torch_dtype=dtype)
pipe.enable_model_cpu_offload()
pipe.vae.enable_tiling()

generator = torch.Generator(device=device).manual_seed(1)
image = load_image("https://huggingface.co/datasets/YiYiXu/testing-images/resolve/main/wan_i2v_input.JPG")
prompt="Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside."
with attention_backend("_flash_3_hub"): # or `"flash_hub"/"flash_varlen_hub"` if you are not on H100/H800
    video = pipe(
        prompt=prompt,
        image=image,
        generator=generator,
        num_frames=121,
        num_inference_steps=12,
    ).frames[0]
export_to_video(video, "output.mp4", fps=24)

to use default attention backend

import torch

dtype = torch.bfloat16
device = "cuda:0"
from diffusers import HunyuanVideo15ImageToVideoPipeline
from diffusers.utils import export_to_video, load_image

pipe = HunyuanVideo15ImageToVideoPipeline.from_pretrained("hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-480p_i2v_step_distilled", torch_dtype=dtype)
pipe.enable_model_cpu_offload()
pipe.vae.enable_tiling()

generator = torch.Generator(device=device).manual_seed(1)
image = load_image("https://huggingface.co/datasets/YiYiXu/testing-images/resolve/main/wan_i2v_input.JPG")
prompt="Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside."

video = pipe(
    prompt=prompt,
    image=image,
    generator=generator,
    num_frames=121,
    num_inference_steps=12,
).frames[0]
export_to_video(video, "output.mp4", fps=24)

From the published model card. Full card on the HuggingFace links in the sidebar.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys hunyuanvideo-1-5-480p-i2v-step for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (hunyuanvideo-1-5-480p-i2v-step below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/videos/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"hunyuanvideo-1-5-480p-i2v-step","prompt":"a drone shot over a forest"}'

Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.

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