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Image2Video

BETA

Image2Video

See example prompts in the gallery.

Pricing for video generation.

Overview

Astria Image2Video uses the open-source WAN 2.1 image2video model which provides high-quality video generation from images. The model uses the diffusion process to generate high-quality videos from images. The model is trained on a large dataset of images and videos to generate high-quality videos from images. The model can generate videos in 720p and 480p resolutions.

Syntax

Below parameters should be used as text inside the prompt text

--video

Enables video generation after generating an image. If input image is provided with denoising_strength=0, the input image will be used as the first frame of the video.

Example: <lora:1533312:1.0> ohwx woman hiking in the alps --video

--video_prompt

A prompt for the video model which describes camera movement, scene, and object interactions. If not provided, the image prompt will be used for the video. The video_prompt must be surrounded by double quotes, and should not include the token or Flux LoRA that were used for the image prompt.

Example: <lora:1533312:1.0> ohwx woman hiking in the alps --video_prompt "Woman looking at the camera, smiling, puts hands on her hips, confident"

--video_model

enum: 720p, 480p 720p is used by default.

Example

Here is an example prompt

<lora:1533312:1.0> A highly detailed image of thoughtful ohwx woman exploring a hidden urban garden, her J. Crew khaki midi skirt and linen blouse complementing the peaceful surroundings --video --video_prompt "Woman looking at the camera, smiling, puts hands on her hips, confident"

<lora:1533312:1.0> A highly detailed image of thoughtful ohwx woman exploring a hidden urban garden, her J. Crew khaki midi skirt and linen blouse complementing the peaceful surroundings --video --video_prompt "Woman looking at the camera, smiling, puts hands on her hips, confident"
num_images=1
negative_prompt=
seed=
steps=
cfg_scale=
controlnet=
input_image_url=
mask_image_url=
denoising_strength=
controlnet_conditioning_scale=
controlnet_txt2img=false
super_resolution=true
inpaint_faces=true
face_correct=false
film_grain=false
face_swap=false
hires_fix=false
backend_version=0
ar=1:1
scheduler=euler_a
color_grading=
use_lpw=false
w=1280
h=720
style=
tune_id=1504944