jagilley
/
controlnet-pose
Modify images with humans using pose detection
Run jagilley/controlnet-pose with an API
Input schema
etanumber
Controls the amount of noise that is added to the input data during the denoising diffusion process. Higher value -> more noise
seedinteger
Seed
imageuri
Input image
scalenumber
Scale for classifier-free guidance
- Default
- 9
- Minimum
- 0.1
- Maximum
- 30
promptstring
Prompt for the model
a_promptstring
Additional text to be appended to prompt
- Default
- "best quality, extremely detailed"
n_promptstring
Negative Prompt
- Default
- "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality"
ddim_stepsinteger
Steps
- Default
- 20
num_samplesstring
Number of samples (higher values may OOM)
- Default
- "1"
low_thresholdinteger
Canny line detection low threshold
- Default
- 100
- Minimum
- 1
- Maximum
- 255
high_thresholdinteger
Canny line detection high threshold
- Default
- 200
- Minimum
- 1
- Maximum
- 255
image_resolutionstring
Image resolution to be generated
- Default
- "512"
detect_resolutioninteger
Resolution at which detection method will be applied)
- Default
- 512
- Minimum
- 128
- Maximum
- 1024
Output schema
- Type
- uri[]