Test inputtraining step 100step 1000step 2000step 6100step 6133step 8000step 12000(a) Input Canny map(b) W/o CFG(c) W/o CFG-RW(d) Full (w/o prompt)Multiple condition (pose&depth)“boy”“astronaut”Sketch

Normal map

Depth map

Canny[11] edge M-LSD[24] line

HED[91] edge

ADE20k[96] seg.

Human pose

Figure 7: Controlling Stable Diffusion with various conditions without prompts. The top row is input conditions, while all
other rows are outputs. We use the empty string as input prompts. All models are trained with general-domain data. The model
has to recognize semantic contents in the input condition images to generate images.
AddingConditionalControltoText-to-ImageDiffusionModels