Setting controlnet_config["dtype"] alone is not enough: comfy's lazy/zero-copy
state_dict loading (Windows + aimdo path in disable_weight_init) assigns the
on-disk fp32 tensors directly as parameters and ignores the configured dtype.
With the disable_weight_init ops (no runtime weight casting), the control model
then runs fp32 weights against fp16 activations, raising "mat1 and mat2 must have
the same dtype, but got Half and Float" at the first time_embed Linear.
Explicitly cast the control model to unet_dtype after load_state_dict (mirroring
the motion model load and AnimateDiff-Evolved #573) so the weights always match
the activation dtype at runtime.
Verified end-to-end with v3_sd15_sparsectrl_rgb.ckpt on an fp16 SD1.5 model.
Amp-Thread-ID: https://ampcode.com/threads/T-019e947a-9fd3-76df-a847-5eb68d7f18de
Co-authored-by: Amp <amp@ampcode.com>
