Describe the bug

errors when Xlabs controlnets are used with FluxControlNetInpaintPipeline

Reproduction

controlnet = FluxControlNet.from_pretrained(“xlabs…”)
pipe = FluxControlNetInpaintPipeline.from_pretrained(…, controlnet=controlnet)

image = pipe(…)

Logs

Given groups=1, weight size of [16,3,3,3], expected input [1,1,4096,64] to have 3 channels, but got 1 channels instead.


Switching controlnet to a previously supported one such as InstantX does not result in this issue. All inputs are confirmed to be (h, w, 3) before forward pass.

System Info

diffusers from source

Who can help?

@sayakpaul @ang