Hey I am trying to add all the necessary code for IP Adapter support in StableDiffusionXLControlNetUnionPipeline and keep running into some bugs I can't seem to get to the root of.
Here's the stack trace for the bug I am encountering:
Traceback (most recent call last):
File "predict.py", line 221, in predict
output = pipe(common_args, cn_kwargs, self.ip_adapter_kwargs)
File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, *kwargs)
File "/src/ControlNetPlus/pipeline/pipeline_controlnet_union_sd_xl.py", line 1244, in call
down_block_res_samples, mid_block_res_sample = self.controlnet(
File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(args, kwargs)
File "/src/ControlNetPlus/models/controlnet_union.py", line 890, in forward
sample, res_samples = downsample_block(
File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, kwargs)
File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/diffusers/models/unets/unet_2d_blocks.py", line 1279, in forward
hidden_states = attn(
File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, *kwargs)
File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/diffusers/models/transformers/transformer_2d.py", line 397, in forward
hidden_states = block(
File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(args, kwargs)
File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/diffusers/models/attention.py", line 366, in forward
attn_output = self.attn2(
File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/diffusers/models/attention_processor.py", line 522, in forward
return self.processor(
File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/diffusers/models/attention_processor.py", line 1272, in call
query = query.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2)
RuntimeError: shape '[3, -1, 10, 64]' is invalid for input of size 5242880
Any help in trying to debug this would be appreciated, even a pointer in terms what kind of inputs might be causing a shape mismatch like this. Feel free to ask what modules you need to look at to get a better idea of what might be causing this.
Hey I am trying to add all the necessary code for IP Adapter support in StableDiffusionXLControlNetUnionPipeline and keep running into some bugs I can't seem to get to the root of.
Here's the stack trace for the bug I am encountering: Traceback (most recent call last): File "predict.py", line 221, in predict output = pipe(common_args, cn_kwargs, self.ip_adapter_kwargs) File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, *kwargs) File "/src/ControlNetPlus/pipeline/pipeline_controlnet_union_sd_xl.py", line 1244, in call down_block_res_samples, mid_block_res_sample = self.controlnet( File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(args, kwargs) File "/src/ControlNetPlus/models/controlnet_union.py", line 890, in forward sample, res_samples = downsample_block( File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, kwargs) File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/diffusers/models/unets/unet_2d_blocks.py", line 1279, in forward hidden_states = attn( File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, *kwargs) File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/diffusers/models/transformers/transformer_2d.py", line 397, in forward hidden_states = block( File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(args, kwargs) File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/diffusers/models/attention.py", line 366, in forward attn_output = self.attn2( File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/diffusers/models/attention_processor.py", line 522, in forward return self.processor( File "/root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/diffusers/models/attention_processor.py", line 1272, in call query = query.view(batch_size, -1, attn.heads, head_dim).transpose(1, 2) RuntimeError: shape '[3, -1, 10, 64]' is invalid for input of size 5242880
Any help in trying to debug this would be appreciated, even a pointer in terms what kind of inputs might be causing a shape mismatch like this. Feel free to ask what modules you need to look at to get a better idea of what might be causing this.