Version: v5.1-with-controlnet
Input
prompt *
Input prompt
reference_image
Image with a reference architecture shape
negative_prompt
Specify things to not see in the output
image_dimensions
Pixel dimensions of output image (width x height)
num_outputs
Number of output images
seed
Random seed. Set as -1 to randomize the seed
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
Whether to ignore the last layer of CLIP network or not
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Output
tungsten_logo
Click "Run" for amazing results
prompt *
Input prompt
reference_image
Image with a reference architecture shape
negative_prompt
Specify things to not see in the output
image_dimensions
Pixel dimensions of output image (width x height)
num_outputs
Number of output images
seed
Random seed. Set as -1 to randomize the seed
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
Whether to ignore the last layer of CLIP network or not
Sign in to run this model for free!
tungsten_logo
Click "Run" for amazing results