DreamVideo:When performing Step 1: learning a textual identity using Textual Inversion with DreamVideo, the following error occurred.

[aimll101]

-- Process 6 terminated with the following error:
Traceback (most recent call last):
File "/home/jundu/anaconda3/envs/dl/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 76, in _wrap
fn(i, *args)
File "/home/jundu/VGen-main/tools/train/train_dreamvideo_entrance.py", line 145, in worker
white_feature, _, zero_y = clip_encoder(image=clip_encoder.white_image, text="")
File "/home/jundu/anaconda3/envs/dl/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/jundu/anaconda3/envs/dl/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
return forward_call(*args, **kwargs)
File "/home/jundu/VGen-main/tools/modules/clip_embedder.py", line 344, in forward
xt, x = self.encode_with_transformer(tokens.to(self.device), **kwargs)
File "/home/jundu/VGen-main/tools/modules/clip_embedder.py", line 353, in encode_with_transformer
x = self.text_transformer_forward(x, attn_mask=self.model.attn_mask)
File "/home/jundu/VGen-main/tools/modules/clip_embedder.py", line 366, in text_transformer_forward
x = r(x, attn_mask=attn_mask)
File "/home/jundu/anaconda3/envs/dl/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/jundu/anaconda3/envs/dl/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
return forward_call(*args, **kwargs)
File "/home/jundu/anaconda3/envs/dl/lib/python3.9/site-packages/open_clip/transformer.py", line 263, in forward
x = q_x + self.ls_1(self.attention(q_x=self.ln_1(q_x), k_x=k_x, v_x=v_x, attn_mask=attn_mask))
File "/home/jundu/anaconda3/envs/dl/lib/python3.9/site-packages/open_clip/transformer.py", line 250, in attention
return self.attn(
File "/home/jundu/anaconda3/envs/dl/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/jundu/anaconda3/envs/dl/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
return forward_call(*args, **kwargs)
File "/home/jundu/anaconda3/envs/dl/lib/python3.9/site-packages/torch/nn/modules/activation.py", line 1275, in forward
attn_output, attn_output_weights = F.multi_head_attention_forward(
File "/home/jundu/anaconda3/envs/dl/lib/python3.9/site-packages/torch/nn/functional.py", line 5438, in multi_head_attention_forward
raise RuntimeError(f"The shape of the 2D attn_mask is {attn_mask.shape}, but should be {correct_2d_size}.")
RuntimeError: The shape of the 2D attn_mask is torch.Size([77, 77]), but should be (1, 1).

[weilllllls]

Hello, I could run DreamVideo without errors by following the environment setup in the Installation guide. Please check your environment and look for any potential package conflicts.

If you only need to run the DreamVideo-related code, you can comment out the videolcm import statements in tools/inferences/init.py#L7, tools/inferences/init.py#L9 and tools/train/init.py#L3, as they require the diffusers dependency.

[aimll101]

OK！

…

---Original--- From: "Yujie ***@***.***> Date: Wed, Dec 18, 2024 15:09 PM To: ***@***.***>; Cc: ***@***.******@***.***>; Subject: Re: [ali-vilab/VGen] DreamVideo:When performing Step 1: learning atextual identity using Textual Inversion with DreamVideo, the following erroroccurred. (Issue #155) Hello, I could run DreamVideo without errors by following the environment setup in the Installation guide. Please check your environment and look for any potential package conflicts. If you only need to run the DreamVideo-related code, you can comment out the videolcm import statements in tools/inferences/init.py#L7, tools/inferences/init.py#L9 and tools/train/init.py#L3, as they require the diffusers dependency. — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: ***@***.***>