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CompVis / stable-diffusion

A latent text-to-image diffusion model
https://ommer-lab.com/research/latent-diffusion-models/
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omegaconf.errors.ConfigAttributeError: Missing key data #838

Open parkjjoe opened 3 months ago

parkjjoe commented 3 months ago

I wrote the code in the terminal: CUDA_VISIBLE_DEVICES=6 python main.py --base configs/stable-diffusion/v1-inference.yaml --gpus=1

but this script was printed:

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.0.self_attn.v_proj.weight', 'vision_model.encoder.layers.18.self_attn.v_proj.weight', 'vision_model.encoder.layers.8.layer_norm2.bias', 'vision_model.encoder.layers.12.mlp.fc1.weight', 'vision_model.encoder.layers.20.layer_norm2.bias', 'vision_model.encoder.layers.21.self_attn.v_proj.bias', 'vision_model.encoder.layers.10.self_attn.v_proj.bias', 'vision_model.encoder.layers.14.layer_norm1.weight', 'vision_model.encoder.layers.23.mlp.fc1.bias', 'vision_model.encoder.layers.17.self_attn.out_proj.bias', 'vision_model.encoder.layers.1.self_attn.q_proj.bias', 'vision_model.encoder.layers.3.mlp.fc2.bias', 'vision_model.encoder.layers.13.self_attn.v_proj.bias', 'vision_model.encoder.layers.22.self_attn.k_proj.bias', 'vision_model.encoder.layers.20.self_attn.k_proj.bias', 'vision_model.encoder.layers.22.layer_norm2.weight', 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'vision_model.encoder.layers.9.self_attn.k_proj.bias', 'vision_model.encoder.layers.13.mlp.fc1.bias', 'vision_model.encoder.layers.19.self_attn.out_proj.bias', 'vision_model.encoder.layers.2.layer_norm2.weight', 'vision_model.encoder.layers.6.layer_norm1.weight', 'vision_model.encoder.layers.8.self_attn.v_proj.weight', 'vision_model.encoder.layers.14.layer_norm1.bias', 'vision_model.encoder.layers.15.mlp.fc1.bias', 'vision_model.encoder.layers.2.layer_norm1.bias', 'vision_model.encoder.layers.23.mlp.fc2.bias', 'vision_model.encoder.layers.20.layer_norm2.weight', 'vision_model.encoder.layers.10.mlp.fc1.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/2024-03-20T10-52-15_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 "main.py", line 662, in <module>
    data = instantiate_from_config(config.data)
  File "/home/parkjoe/anaconda3/envs/sd_v1/lib/python3.8/site-packages/omegaconf/dictconfig.py", line 353, in __getattr__
    self._format_and_raise(
  File "/home/parkjoe/anaconda3/envs/sd_v1/lib/python3.8/site-packages/omegaconf/base.py", line 190, in _format_and_raise
    format_and_raise(
  File "/home/parkjoe/anaconda3/envs/sd_v1/lib/python3.8/site-packages/omegaconf/_utils.py", line 821, in format_and_raise
    _raise(ex, cause)
  File "/home/parkjoe/anaconda3/envs/sd_v1/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/parkjoe/anaconda3/envs/sd_v1/lib/python3.8/site-packages/omegaconf/dictconfig.py", line 351, in __getattr__
    return self._get_impl(key=key, default_value=_DEFAULT_MARKER_)
  File "/home/parkjoe/anaconda3/envs/sd_v1/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/parkjoe/anaconda3/envs/sd_v1/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

How can I solve this problem? Please tell me the detailed solution.

Leio-1458 commented 2 months ago

I've encountered the same problem. Could you tell me how you fixed it?

Ziwei-Niu commented 1 month ago

I've encountered the same problem. Could you tell me how you fixed it?

Maybe you can try pip install omegaconf==2.0.1