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edenartlab /comfyui-workflows:7ee5f29a

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
mode
string
txt2vid
txt2vid, img2vid, vid2vid, upscale, makeitrad, txt2img, inpaint
text_input
string
prompt
interpolation_texts
string
| separated list of prompts for txt2vid)
input_images
string
Input image(s) for various endpoints. Load-able from file, url, or base64 string, (urls separated by pipe symbol)
mask_images
string
Input mask(s) for various endpoints. Load-able from file, url, or base64 string, (urls separated by pipe symbol)
input_video_path
string
For vid2vid. Load source video from file, url, or base64 string
steps
integer
25

Min: 10

Max: 40

Steps
width
integer
1280

Min: 512

Max: 3840

Width
height
integer
1280

Min: 512

Max: 3840

Height
n_frames
integer
40

Min: 16

Max: 264

Total number of frames (txt2vid, vid2vid, img2vid)
motion_scale
number
1.1

Max: 2

Motion scale (AnimateDiff)
n_samples
integer
1

Min: 1

Max: 4

batch size
control_method
string (enum)
coarse

Options:

coarse, fine

Shape Control method (coarse usually gives nicer results, fine is more precise to the input video)
controlnet_strength
number
0.85

Max: 1.5

Strength of controlnet guidance
denoise_strength
number
1

Max: 1

How much denoising to apply (1.0 = start from full noise, 0.0 = return input image)
blend_value
number
0.5

Max: 1

Blend factor (weight of the first image vs the second)
loop
boolean
False
Try to make a loopable video
guidance_scale
number
7.5

Min: 1

Max: 20

Strength of text conditioning guidance
negative_prompt
string
nude, naked, text, watermark, low-quality, signature, padding, margins, white borders, padded border, moiré pattern, downsampling, aliasing, distorted, blurry, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, grainy, error, bad-contrast
Negative Prompt
seed
integer
Sampling seed, leave Empty for Random

Output schema

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

Schema
{'items': {'properties': {'attributes': {'title': 'Attributes',
                                         'type': 'object'},
                          'files': {'items': {'format': 'uri',
                                              'type': 'string'},
                                    'title': 'Files',
                                    'type': 'array'},
                          'isFinal': {'default': False,
                                      'title': 'Isfinal',
                                      'type': 'boolean'},
                          'name': {'title': 'Name', 'type': 'string'},
                          'progress': {'title': 'Progress', 'type': 'number'},
                          'thumbnails': {'items': {'format': 'uri',
                                                   'type': 'string'},
                                         'title': 'Thumbnails',
                                         'type': 'array'}},
           'required': ['files'],
           'title': 'CogOutput',
           'type': 'object'},
 'title': 'Output',
 'type': 'array',
 'x-cog-array-type': 'iterator'}