digital Picasso art (Picasgogh)

  model: revani


<lora:2D illustration:0.8> <lora:flat design playfulWhimsyLineless_v2:0.2> 2d illustration,

painting, art, abstract, Picasso, painting, art, abstract, Picasso, painting, art, abstract, Picasso, painting, art, abstract, Picasso, painting, art, abstract, Picasso, painting, art, abstract, Picasso, da vinci,  da vinci,  da vinci, van gogh,van gogh,van gogh,

 starry night,  starry night,  starry night,  starry night, 



 <lora:2D illustration:0.8> <lora:flat design playfulWhimsyLineless_v2:0.2> 2d illustration,

painting, art, abstract, Picasso, painting, art, abstract, Picasso, painting, art, abstract, Picasso, painting, art, abstract, Picasso, painting, art, abstract, Picasso, painting, art, abstract, Picasso, da vinci,  da vinci,  da vinci, van gogh,van gogh,van gogh,

 starry night,  starry night,  starry night,  starry night,  moon, night, moon, night, 




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Mikubill/sd-webui-controlnet#194 api

  "controlnet_input_image": [img], "controlnet_module": 'openpose', "controlnet_model": 'control_sd15_openpose [fef5e48e]', This is how json objects are formated and those that are necessary. My setup works fine this way with depth, pose and scribble. Img is a base64 string for the image that goes into the ControlNet UI on the SD WebUI. EDIT: control img can be added but procrastinating on it. If interested in doing so, just need to encode the img in the second index of the output that is in numpy array format. Good. Small advice: Move API stuff to another file, like  api.py Maybe we should add some examples in the readme.
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