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piyushk52 /ad_interpolation_2:1bf7d2a3

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
positive_prompt
string
Positive Prompt
negative_prompt
string
Negative Prompt
image_dimension
string (enum)
512x512

Options:

512x512, 512x768

Select image dimenstions
starting_image_path
string
Starting Image
ending_image_path
string
Ending Image
starting_img_controlnet_weight
number
0.8

Max: 1

Controlnet weight for starting image
ending_img_controlnet_weight
number
0.8

Max: 1

Controlnet weight for ending image
sampler
string (enum)
dpmpp_2m

Options:

euler_ancestral, heun, dpm_2, dpm_2_ancestral, lms, dpm_fast, dpm_adaptive, dpmpp_2s_ancestral, dpmpp_sde, dpmpp_sde_gpu, dpmpp_2m, dpmpp_2m_sde, ddpm, ddim

Sampler
seed
integer
-1
Sampling seed
sampling_steps
integer
30
Sampling steps
cfg
number
8

Max: 30

Interpolation sampler cfg
motion_module
string (enum)
mm_sd_v14.ckpt

Options:

mm_sd_v14.ckpt, mm_sd_v15.ckpt, mm_sd_v15_v2.ckpt

Select a Motion Model
model
string (enum)
Counterfeit-V3.0_fp32.safetensors

Options:

Realistic_Vision_V5.0.safetensors, Counterfeit-V3.0_fp32.safetensors, epic_realism.safetensors, dreamshaper_v8.safetensors, deliberate_v3.safetensors

Select a Module
starting_image_latent_cn_weights
string
0=1.0, 1=0.87, 2=0.76, 3=0.66, 4=0.57, 5=0.50, 6=0.43, 7=0.37, 8=0.32, 9=0.28, 10=0.0, 11=0.0, 12=0.0, 13=0.0, 14=0.0, 15=0.0
weights for how cn will affect the latents
ending_image_latent_cn_weights
string
0=0.0, 1=0.13, 2=0.24, 3=0.34, 4=0.43, 5=0.50, 6=0.57, 7=0.63, 8=0.68, 9=0.72, 10=1.0, 11=1.0, 12=1.0, 13=1.0, 14=1.0, 15=1.0
weights for how cn will affect the latents

Output schema

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

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