main.py run error

[woonwoon]

I get this error when i run the main.py file Parameters : --base configs/stable-diffusion/v1-inference.yaml --train --gpus=1 I want to train model

` Global seed set to 23 Running on GPUs 1 LatentDiffusion: Running in eps-prediction mode DiffusionWrapper has 859.52 M params. making attention of type 'vanilla' with 512 in_channels Working with z of shape (1, 4, 32, 32) = 4096 dimensions. making attention of type 'vanilla' with 512 in_channels Some weights of the model checkpoint at openai/clip-vit-large-patch14 were not used when initializing CLIPTextModel: ['vision_model.encoder.layers.23.self_attn.q_proj.weight', 'vision_model.encoder.layers.5.layer_norm1.weight', 'vision_model.encoder.layers.9.self_attn.out_proj.bias', 'vision_model.encoder.layers.9.mlp.fc2.bias', 'vision_model.encoder.layers.7.self_attn.k_proj.weight', 'vision_model.encoder.layers.22.self_attn.v_proj.weight', 'vision_model.encoder.layers.19.self_attn.out_proj.weight', 'vision_model.encoder.layers.2.mlp.fc2.weight', 'vision_model.encoder.layers.19.self_attn.k_proj.bias', 'vision_model.encoder.layers.12.self_attn.q_proj.weight', 'vision_model.encoder.layers.15.self_attn.out_proj.bias', 'vision_model.encoder.layers.4.mlp.fc1.bias', 'vision_model.encoder.layers.22.layer_norm1.bias', 'vision_model.encoder.layers.10.self_attn.q_proj.weight', 'vision_model.encoder.layers.19.self_attn.k_proj.weight', 'vision_model.encoder.layers.0.self_attn.k_proj.bias', 'vision_model.encoder.layers.19.self_attn.q_proj.weight', 'vision_model.encoder.layers.18.mlp.fc1.bias', 'vision_model.encoder.layers.17.mlp.fc1.weight', 'vision_model.encoder.layers.0.self_attn.v_proj.weight', 'vision_model.encoder.layers.3.self_attn.k_proj.bias', 'vision_model.encoder.layers.4.layer_norm1.weight', 'vision_model.encoder.layers.18.self_attn.v_proj.bias', 'vision_model.encoder.layers.9.self_attn.q_proj.bias', 'vision_model.encoder.layers.13.layer_norm1.weight', 'vision_model.encoder.layers.6.self_attn.q_proj.bias', 'vision_model.encoder.layers.11.self_attn.out_proj.bias', 'vision_model.encoder.layers.2.layer_norm2.bias', 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'vision_model.encoder.layers.15.mlp.fc1.bias', 'vision_model.encoder.layers.16.mlp.fc2.weight', 'vision_model.encoder.layers.12.mlp.fc1.bias', 'vision_model.encoder.layers.15.self_attn.out_proj.weight', 'vision_model.encoder.layers.6.self_attn.out_proj.bias', 'vision_model.encoder.layers.20.layer_norm1.weight', 'vision_model.encoder.layers.22.self_attn.q_proj.weight', 'vision_model.encoder.layers.1.mlp.fc2.bias', 'vision_model.encoder.layers.7.mlp.fc1.bias', 'vision_model.encoder.layers.9.layer_norm1.weight', 'logit_scale', 'vision_model.encoder.layers.8.layer_norm2.weight', 'vision_model.encoder.layers.18.mlp.fc2.bias', 'vision_model.encoder.layers.6.layer_norm1.weight', 'vision_model.encoder.layers.12.layer_norm2.bias']

• This IS expected if you are initializing CLIPTextModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
• This IS NOT expected if you are initializing CLIPTextModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). Monitoring val/loss_simple_ema as checkpoint metric. Merged modelckpt-cfg: {'target': 'pytorch_lightning.callbacks.ModelCheckpoint', 'params': {'dirpath': 'logs/2023-05-11T18-19-12_v1-inference/checkpoints', 'filename': '{epoch:06}', 'verbose': True, 'save_last': True, 'monitor': 'val/loss_simple_ema', 'save_top_k': 3}} GPU available: True, used: True TPU available: False, using: 0 TPU cores IPU available: False, using: 0 IPUs Traceback (most recent call last): File "/home/intlab/woon/stable_diffusion/main.py", line 663, in data = instantiate_from_config(config.data) File "/home/intlab/anaconda3/envs/ldm/lib/python3.8/site-packages/omegaconf/dictconfig.py", line 353, in getattr self._format_and_raise( File "/home/intlab/anaconda3/envs/ldm/lib/python3.8/site-packages/omegaconf/base.py", line 190, in _format_and_raise format_and_raise( File "/home/intlab/anaconda3/envs/ldm/lib/python3.8/site-packages/omegaconf/_utils.py", line 821, in format_and_raise _raise(ex, cause) File "/home/intlab/anaconda3/envs/ldm/lib/python3.8/site-packages/omegaconf/_utils.py", line 719, in _raise raise ex.with_traceback(sys.exc_info()[2]) # set end OC_CAUSE=1 for full backtrace File "/home/intlab/anaconda3/envs/ldm/lib/python3.8/site-packages/omegaconf/dictconfig.py", line 351, in getattr return self._get_impl(key=key, default_value=_DEFAULTMARKER) File "/home/intlab/anaconda3/envs/ldm/lib/python3.8/site-packages/omegaconf/dictconfig.py", line 438, in _get_impl node = self._get_node(key=key, throw_on_missing_key=True) File "/home/intlab/anaconda3/envs/ldm/lib/python3.8/site-packages/omegaconf/dictconfig.py", line 470, in _get_node raise ConfigKeyError(f"Missing key {key}") omegaconf.errors.ConfigAttributeError: Missing key data full_key: data object_type=dict

Process finished with exit code 1 `

[riskyhomo]

make sure you run using GPU

[liuchangzong]

Hi, have you sovled the problem yet? I have read the source code recently. And I think the reason why you get a error is that you haven't written the data config in the v1-inference.yaml by yourself. The v1-inference.yaml can be gotten in this link

The v1-inference.yaml doesn't have the data config. But when you want to run the main.py and the code run to the line of 663, the code need the parameter config.data.

I think that's the reason.

And I also have a problem. How to write the data config by myself? May anyone help me please?