You're looking at a specific version of this model. Jump to the model overview.

zf-kbot /seedvr2:d77e81de

Input schema

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.

Field Type Default value Description
input_image
string
输入图像
target_megapixels
number
3.6

Min: 2

Max: 100

目标像素(百万像素)
ttp_switch
boolean
False
是否分片
tiles_per_row
integer
3

Min: 3

Max: 10

每行分片数量
short_pixels_after_tile
integer
1024

Min: 512

Max: 4096

分片压缩后短边
upscale_multiple_after_tile
number
2

Min: 1

Max: 4

分片压缩放大比例
website_name
string
ImgUpscaler.AI
Website name for filename suffix
image_filename
string
test
Custom filename for the output (without extension)
output_ext
None
.jpg
输出图像格式
quality
integer
90

Min: 1

Max: 100

输出图像质量 (1-100)
encode_tiled
boolean
False
VAE 编码是否分片
encode_tile_size
integer
1536

Min: 512

Max: 2048

VAE 编码分片大小
encode_tile_overlap
integer
128

Max: 256

VAE 编码分片重叠
decode_tiled
boolean
True
VAE 解码是否分片
decode_tile_size
integer
1536

Min: 512

Max: 2048

VAE 解码分片大小
decode_tile_overlap
integer
128

Max: 256

VAE 解码分片重叠
swap_io_components
boolean
False
是否交换 IO 组件
blocks_to_swap
None
0
要交换的块数量,0/32
offload_device
None
none
模型 offload 设备 (none=不卸载, cpu=卸载到CPU启用缓存)
cache_model
boolean
False
是否缓存模型 (需要 offload_device=cpu 才生效)
upscale_method
None
bicubic
缩放算法 (bicubic支持GPU加速,lanczos质量最好但仅CPU)
resize_device
None
gpu
图像缩放设备 (bicubic/bilinear支持gpu,lanczos仅cpu)
apikey
string
API Key

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{'items': {'format': 'uri', 'type': 'string'},
 'title': 'Output',
 'type': 'array'}