These are ControlNet checkpoints trained on runwayml/stable-diffusion-v1-5, using fused color and canny edge as conditioning.
You can find some example images in the following.
Examples
Color examples
prompt: a concept art of by Makoto Shinkai, a girl is standing in the middle of the sea
negative prompt: text, bad anatomy, blurry, (low quality, blurry)
images_1)
prompt: a concept art of by Makoto Shinkai, a girl is standing in the middle of the sea
negative prompt: text, bad anatomy, blurry, (low quality, blurry)
images_2)
prompt: a concept art of by Makoto Shinkai, a girl is standing in the middle of the grass
negative prompt: text, bad anatomy, blurry, (low quality, blurry)
images_3)
Brightness examples
This model also can be used to control image brightness. The following images are generated with different brightness conditioning image and controlnet strength(0.5 ~ 0.7).
images_4)
Limitations and Bias
No strict control by input color
Sometimes generate image with confusion When color description in prompt
