Comments (2)
It is the implementation of the Reference Attention mechanism. We forward UNet on the condition branch and record the KV matrices in the attention processor, then forward UNet on the denoising branch and concat the recorded KV matrices.
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thanks
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Related Issues (20)
- RuntimeError: "LayerNormKernelImpl" not implemented for 'Half' HOT 1
- About the object normalization in v1.2 HOT 5
- How to align the coordinate system of zero123 in threestudio? HOT 1
- Would it be feasible to provide more than one view angle as input to better the quality of the outputs.
- Can I get train code? HOT 1
- How to change Camera Parameters of output view? HOT 1
- Depth map size ratios for depth ControlNet HOT 1
- About dataset HOT 1
- img_to_mv.py without cuda HOT 1
- The difference between v1.2 and v1.1 in the network architecture HOT 1
- CUDA out of memory. Tried to allocate error HOT 2
- would you release the training code in the future? HOT 2
- Can I use non-empty text with zero123++? HOT 2
- DLL load failed while importing libtriton HOT 2
- latent scaling HOT 1
- Download model error. HOT 3
- AttributeError: module 'jax.random' has no attribute 'KeyArray' HOT 2
- About computation resources HOT 2
- Training Hyperparams HOT 7
- How to get the depth map output? HOT 3
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