Open grotcki opened 5 months ago
Use the right ClipVision https://github.com/MrForExample/ComfyUI-AnimateAnyone-Evolved/issues/17
Use the right ClipVision #17
I followed the instruction linked, and placed the clip vision in the correct folder "ComfyUI\models\clip_vision\SD1.5" but still receive the same error message.
File "/content/drive/MyDrive/ComfyUI/execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "/content/drive/MyDrive/ComfyUI/execution.py", line 82, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "/content/drive/MyDrive/ComfyUI/execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "/content/drive/MyDrive/ComfyUI/custom_nodes/ComfyUI-AnimateAnyone-Evolved/nodes.py", line 152, in animate_anyone samples = diffuser( File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, *kwargs) File "/content/drive/MyDrive/ComfyUI/custom_nodes/ComfyUI-AnimateAnyone-Evolved/src/models/main_diffuser.py", line 440, in call latents = self.denoise_loop( File "/content/drive/MyDrive/ComfyUI/custom_nodes/ComfyUI-AnimateAnyone-Evolved/src/models/main_diffuser.py", line 315, in denoise_loop self.reference_unet( File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl return self._call_impl(args, kwargs) File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1520, in _call_impl return forward_call(*args, kwargs) File "/content/drive/MyDrive/ComfyUI/custom_nodes/ComfyUI-AnimateAnyone-Evolved/src/models/unet_2d_condition.py", line 1197, in forward sample, res_samples = downsample_block( File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1520, in _call_impl return forward_call(args, kwargs) File "/content/drive/MyDrive/ComfyUI/custom_nodes/ComfyUI-AnimateAnyone-Evolved/src/models/unet_2d_blocks.py", line 657, in forward hidden_states, ref_feature = attn( File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1520, in _call_impl return forward_call(*args, *kwargs) File "/content/drive/MyDrive/ComfyUI/custom_nodes/ComfyUI-AnimateAnyone-Evolved/src/models/transformer_2d.py", line 357, in forward hidden_states = block( File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl return self._call_impl(args, kwargs) File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1520, in _call_impl return forward_call(*args, kwargs) File "/content/drive/MyDrive/ComfyUI/custom_nodes/ComfyUI-AnimateAnyone-Evolved/src/models/mutual_self_attention.py", line 241, in hacked_basic_transformer_inner_forward attn_output = self.attn2( File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1520, in _call_impl return forward_call(args, kwargs) File "/usr/local/lib/python3.10/dist-packages/diffusers/models/attention_processor.py", line 527, in forward return self.processor( File "/usr/local/lib/python3.10/dist-packages/diffusers/models/attention_processor.py", line 1246, in call key = attn.to_k(encoder_hidden_states, args) File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl return self._call_impl(args, *kwargs) File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1520, in _call_impl return forward_call(args, **kwargs) File "/usr/local/lib/python3.10/dist-packages/diffusers/models/lora.py", line 430, in forward out = super().forward(hidden_states) File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/linear.py", line 116, in forward return F.linear(input, self.weight, self.bias)