TypeError: VanillaCFG.__init__() got an unexpected keyword argument 'scale_schedule_config'

[yuvraj108c]

(.pt2) user@edd44512-fd47-4de0-ac42-3903df48608b:~/generative-models$ PYTHONPATH=. streamlit run scripts/demo/sampling.py --server.port 8888

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  Network URL: http://x.x.x.x:8888
  External URL: http://x.x.x.x:8888

Global seed set to 42
Global seed set to 42
SpatialTransformer: Found context dims [2048] of depth 1, which does not match the specified 'depth' of 2. Setting context_dim to [2048, 2048] now.
SpatialTransformer: Found context dims [2048] of depth 1, which does not match the specified 'depth' of 2. Setting context_dim to [2048, 2048] now.
SpatialTransformer: Found context dims [2048] of depth 1, which does not match the specified 'depth' of 10. Setting context_dim to [2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048] now.
SpatialTransformer: Found context dims [2048] of depth 1, which does not match the specified 'depth' of 10. Setting context_dim to [2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048] now.
SpatialTransformer: Found context dims [2048] of depth 1, which does not match the specified 'depth' of 10. Setting context_dim to [2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048] now.
Global seed set to 42
SpatialTransformer: Found context dims [2048] of depth 1, which does not match the specified 'depth' of 10. Setting context_dim to [2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048] now.
SpatialTransformer: Found context dims [2048] of depth 1, which does not match the specified 'depth' of 10. Setting context_dim to [2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048] now.
SpatialTransformer: Found context dims [2048] of depth 1, which does not match the specified 'depth' of 10. Setting context_dim to [2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048, 2048] now.
SpatialTransformer: Found context dims [2048] of depth 1, which does not match the specified 'depth' of 2. Setting context_dim to [2048, 2048] now.
SpatialTransformer: Found context dims [2048] of depth 1, which does not match the specified 'depth' of 2. Setting context_dim to [2048, 2048] now.
SpatialTransformer: Found context dims [2048] of depth 1, which does not match the specified 'depth' of 2. Setting context_dim to [2048, 2048] now.
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.5.self_attn.v_proj.bias', 'vision_model.encoder.layers.14.self_attn.k_proj.bias', 'vision_model.encoder.layers.12.layer_norm1.weight', 'vision_model.encoder.layers.8.layer_norm2.bias', 'vision_model.embeddings.position_embedding.weight', 'vision_model.encoder.layers.12.self_attn.q_proj.weight', 'vision_model.encoder.layers.3.layer_norm1.bias', 'vision_model.encoder.layers.18.self_attn.out_proj.bias', 'vision_model.encoder.layers.9.layer_norm1.weight', 'vision_model.encoder.layers.16.mlp.fc2.bias', 'vision_model.encoder.layers.18.layer_norm2.weight', 'vision_model.encoder.layers.15.layer_norm1.bias', 'vision_model.encoder.layers.22.layer_norm1.weight', 'vision_model.encoder.layers.19.mlp.fc1.bias', 'vision_model.encoder.layers.20.self_attn.out_proj.bias', 'vision_model.encoder.layers.18.self_attn.q_proj.weight', 'vision_model.encoder.layers.14.self_attn.v_proj.weight', 'vision_model.encoder.layers.2.layer_norm2.weight', 'vision_model.encoder.layers.18.layer_norm1.weight', 'vision_model.encoder.layers.17.self_attn.k_proj.bias', 'vision_model.encoder.layers.11.mlp.fc2.weight', 'vision_model.encoder.layers.11.layer_norm1.weight', 'vision_model.encoder.layers.22.self_attn.v_proj.bias', 'vision_model.encoder.layers.23.self_attn.q_proj.weight', 'vision_model.encoder.layers.11.self_attn.v_proj.weight', 'vision_model.encoder.layers.2.self_attn.k_proj.weight', 'vision_model.encoder.layers.21.self_attn.v_proj.bias', 'vision_model.encoder.layers.17.layer_norm2.weight', 'vision_model.encoder.layers.0.layer_norm1.bias', 'vision_model.encoder.layers.6.self_attn.v_proj.bias', 'vision_model.encoder.layers.7.self_attn.v_proj.bias', 'vision_model.encoder.layers.11.layer_norm2.weight', 'vision_model.encoder.layers.0.self_attn.out_proj.bias', 'vision_model.encoder.layers.5.self_attn.q_proj.bias', 'vision_model.encoder.layers.12.self_attn.q_proj.bias', 'vision_model.encoder.layers.12.mlp.fc1.weight', 'vision_model.encoder.layers.19.mlp.fc2.weight', 'vision_model.encoder.layers.7.mlp.fc1.bias', 'vision_model.encoder.layers.17.mlp.fc2.weight', 'vision_model.encoder.layers.6.mlp.fc1.bias', 'vision_model.encoder.layers.22.mlp.fc1.bias', 'vision_model.encoder.layers.5.layer_norm2.weight', 'vision_model.encoder.layers.10.layer_norm1.weight', 'vision_model.encoder.layers.9.mlp.fc2.bias', 'vision_model.encoder.layers.13.self_attn.v_proj.bias', 'vision_model.encoder.layers.0.self_attn.q_proj.bias', 'vision_model.encoder.layers.4.mlp.fc2.weight', 'vision_model.encoder.layers.23.layer_norm1.weight', 'vision_model.encoder.layers.4.self_attn.k_proj.weight', 'vision_model.encoder.layers.3.self_attn.out_proj.bias', 'vision_model.encoder.layers.22.mlp.fc2.bias', 'vision_model.encoder.layers.12.mlp.fc2.weight', 'vision_model.encoder.layers.12.mlp.fc2.bias', 'vision_model.encoder.layers.21.layer_norm1.weight', 'vision_model.encoder.layers.0.mlp.fc1.weight', 'vision_model.encoder.layers.4.layer_norm1.bias', 'vision_model.encoder.layers.9.self_attn.v_proj.weight', 'vision_model.encoder.layers.16.self_attn.q_proj.bias', 'vision_model.encoder.layers.18.mlp.fc2.weight', 'vision_model.encoder.layers.19.self_attn.out_proj.bias', 'vision_model.encoder.layers.6.self_attn.v_proj.weight', 'vision_model.encoder.layers.7.layer_norm2.bias', 'vision_model.encoder.layers.4.mlp.fc1.bias', 'vision_model.encoder.layers.15.layer_norm1.weight', 'vision_model.encoder.layers.20.self_attn.out_proj.weight', 'vision_model.encoder.layers.2.self_attn.q_proj.bias', 'vision_model.encoder.layers.2.self_attn.k_proj.bias', 'vision_model.encoder.layers.5.self_attn.q_proj.weight', 'vision_model.encoder.layers.18.self_attn.q_proj.bias', 'vision_model.encoder.layers.18.self_attn.k_proj.bias', 'vision_model.encoder.layers.1.layer_norm2.weight', 'vision_model.encoder.layers.16.self_attn.k_proj.weight', 'vision_model.encoder.layers.3.self_attn.v_proj.weight', 'vision_model.encoder.layers.1.layer_norm1.bias', 'vision_model.encoder.layers.19.layer_norm1.bias', 'vision_model.encoder.layers.20.self_attn.k_proj.bias', 'vision_model.encoder.layers.23.mlp.fc2.weight', 'vision_model.encoder.layers.18.layer_norm1.bias', 'vision_model.encoder.layers.12.layer_norm2.bias', 'vision_model.encoder.layers.17.layer_norm1.weight', 'vision_model.pre_layrnorm.weight', 'vision_model.encoder.layers.9.layer_norm2.weight', 'vision_model.encoder.layers.21.layer_norm2.bias', 'vision_model.encoder.layers.12.self_attn.out_proj.weight', 'vision_model.encoder.layers.3.layer_norm1.weight', 'vision_model.encoder.layers.14.mlp.fc1.weight', 'vision_model.encoder.layers.10.mlp.fc2.bias', 'vision_model.encoder.layers.14.self_attn.out_proj.weight', 'vision_model.encoder.layers.1.self_attn.out_proj.bias', 'vision_model.encoder.layers.5.self_attn.out_proj.bias', 'vision_model.encoder.layers.10.layer_norm2.bias', 'vision_model.encoder.layers.9.mlp.fc1.bias', 'vision_model.encoder.layers.10.self_attn.v_proj.weight', 'vision_model.encoder.layers.4.self_attn.q_proj.weight', 'vision_model.encoder.layers.21.self_attn.out_proj.bias', 'vision_model.encoder.layers.20.self_attn.q_proj.bias', 'vision_model.encoder.layers.5.layer_norm1.bias', 'vision_model.encoder.layers.4.self_attn.q_proj.bias', 'vision_model.encoder.layers.18.self_attn.v_proj.weight', 'vision_model.encoder.layers.16.layer_norm2.bias', 'vision_model.encoder.layers.16.self_attn.k_proj.bias', 'vision_model.encoder.layers.22.layer_norm1.bias', 'vision_model.encoder.layers.9.layer_norm2.bias', 'vision_model.encoder.layers.1.self_attn.v_proj.bias', 'vision_model.encoder.layers.10.layer_norm2.weight', 'vision_model.encoder.layers.1.layer_norm2.bias', 'vision_model.encoder.layers.0.mlp.fc2.weight', 'vision_model.encoder.layers.23.layer_norm2.bias', 'vision_model.encoder.layers.18.mlp.fc2.bias', 'vision_model.encoder.layers.19.self_attn.q_proj.weight', 'vision_model.encoder.layers.3.mlp.fc1.weight', 'vision_model.encoder.layers.17.self_attn.k_proj.weight', 'vision_model.encoder.layers.2.self_attn.v_proj.bias', 'vision_model.encoder.layers.23.self_attn.out_proj.bias', 'vision_model.encoder.layers.5.mlp.fc2.weight', 'vision_model.encoder.layers.22.self_attn.out_proj.weight', 'vision_model.encoder.layers.8.self_attn.v_proj.bias', 'vision_model.encoder.layers.13.self_attn.out_proj.weight', 'vision_model.encoder.layers.12.self_attn.k_proj.weight', 'vision_model.encoder.layers.23.self_attn.v_proj.bias', 'vision_model.encoder.layers.19.layer_norm2.weight', 'vision_model.encoder.layers.18.layer_norm2.bias', 'vision_model.encoder.layers.10.self_attn.q_proj.weight', 'vision_model.encoder.layers.11.layer_norm1.bias', 'vision_model.encoder.layers.13.self_attn.v_proj.weight', 'vision_model.encoder.layers.21.mlp.fc1.weight', 'vision_model.encoder.layers.11.mlp.fc2.bias', 'vision_model.encoder.layers.16.layer_norm1.weight', 'vision_model.encoder.layers.23.self_attn.k_proj.bias', 'vision_model.encoder.layers.3.layer_norm2.weight', 'vision_model.encoder.layers.0.layer_norm1.weight', 'vision_model.encoder.layers.14.layer_norm1.bias', 'vision_model.encoder.layers.7.mlp.fc2.weight', 'vision_model.encoder.layers.22.self_attn.k_proj.weight', 'vision_model.encoder.layers.5.self_attn.out_proj.weight', 'logit_scale', 'vision_model.encoder.layers.8.self_attn.k_proj.bias', 'vision_model.encoder.layers.20.self_attn.v_proj.weight', 'vision_model.encoder.layers.0.layer_norm2.weight', 'vision_model.encoder.layers.10.layer_norm1.bias', 'vision_model.encoder.layers.4.layer_norm2.bias', 'vision_model.post_layernorm.bias', 'vision_model.encoder.layers.1.mlp.fc2.bias', 'vision_model.encoder.layers.3.mlp.fc2.weight', 'vision_model.encoder.layers.13.mlp.fc1.bias', 'vision_model.encoder.layers.6.layer_norm1.weight', 'vision_model.encoder.layers.16.mlp.fc2.weight', 'vision_model.encoder.layers.21.mlp.fc1.bias', 'vision_model.encoder.layers.17.self_attn.q_proj.weight', 'vision_model.encoder.layers.8.self_attn.out_proj.bias', 'vision_model.encoder.layers.3.self_attn.k_proj.bias', 'vision_model.encoder.layers.5.layer_norm2.bias', 'vision_model.encoder.layers.14.self_attn.out_proj.bias', 'vision_model.encoder.layers.23.self_attn.k_proj.weight', 'vision_model.encoder.layers.13.layer_norm1.bias', 'vision_model.encoder.layers.19.self_attn.out_proj.weight', 'vision_model.encoder.layers.13.mlp.fc2.bias', 'vision_model.embeddings.position_ids', 'vision_model.encoder.layers.0.self_attn.k_proj.bias', 'vision_model.encoder.layers.17.self_attn.out_proj.bias', 'vision_model.encoder.layers.14.mlp.fc1.bias', 'vision_model.encoder.layers.1.self_attn.out_proj.weight', 'vision_model.encoder.layers.17.self_attn.out_proj.weight', 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- 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).
Initialized embedder #0: FrozenCLIPEmbedder with 123060480 params. Trainable: False
Initialized embedder #1: FrozenOpenCLIPEmbedder2 with 694659841 params. Trainable: False
Initialized embedder #2: ConcatTimestepEmbedderND with 0 params. Trainable: False
Initialized embedder #3: ConcatTimestepEmbedderND with 0 params. Trainable: False
Initialized embedder #4: ConcatTimestepEmbedderND with 0 params. Trainable: False
Loading model from checkpoints/sd_xl_base_1.0.safetensors
missing keys:
['denoiser.sigmas']
Global seed set to 42
loaded input image of size (768, 768)
2023-11-22 05:51:32.083 Uncaught app exception
Traceback (most recent call last):
  File "/home/user/generative-models/.pt2/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 534, in _run_script
    exec(code, module.__dict__)
  File "/home/user/generative-models/scripts/demo/sampling.py", line 332, in <module>
    out = run_img2img(
  File "/home/user/generative-models/scripts/demo/sampling.py", line 190, in run_img2img
    sampler, num_rows, num_cols = init_sampling(
  File "/home/user/generative-models/scripts/demo/streamlit_helpers.py", line 360, in init_sampling
    sampler = get_sampler(sampler, steps, discretization_config, guider_config, key=key)
  File "/home/user/generative-models/scripts/demo/streamlit_helpers.py", line 408, in get_sampler
    sampler = EulerEDMSampler(
  File "/home/user/generative-models/sgm/modules/diffusionmodules/sampling.py", line 86, in __init__
    super().__init__(*args, **kwargs)
  File "/home/user/generative-models/sgm/modules/diffusionmodules/sampling.py", line 32, in __init__
    self.guider = instantiate_from_config(
  File "/home/user/generative-models/sgm/util.py", line 175, in instantiate_from_config
    return get_obj_from_str(config["target"])(**config.get("params", dict()))
TypeError: VanillaCFG.__init__() got an unexpected keyword argument 'scale_schedule_config'

[yuvraj108c]

Another issue:

##############################  Sampling setting  ##############################
Sampler: EulerAncestralSampler
Discretization: Img2ImgDiscretizationWrapper
Guider: IdentityGuider
Sampling with EulerAncestralSampler for 30 steps:  97%|███████████████████████████████▉ | 29/30 [00:03<00:00,  8.77it/s]
2023-11-22 06:05:46.900 Uncaught app exception
Traceback (most recent call last):
  File "/home/user/generative-models/.pt2/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 534, in _run_script
    exec(code, module.__dict__)
  File "/home/user/generative-models/scripts/demo/sampling.py", line 332, in <module>
    out = run_img2img(
  File "/home/user/generative-models/scripts/demo/sampling.py", line 197, in run_img2img
    out = do_img2img(
  File "/home/user/generative-models/.pt2/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/home/user/generative-models/scripts/demo/streamlit_helpers.py", line 820, in do_img2img
    grid = rearrange(grid, "n b c h w -> (n h) (b w) c")
UnboundLocalError: local variable 'grid' referenced before assignment

[ningbende]

same error

[ndy-cd]

same

line 534, in _run_script
    exec(code, module.__dict__)
  File "/home/user/generative-models/scripts/demo/sampling.py", line 322, in <module>
    out = run_txt2img(
          ^^^^^^^^^^^^
  File "/home/user/generative-models/scripts/demo/sampling.py", line 141, in run_txt2img
    sampler, num_rows, num_cols = init_sampling(stage2strength=stage2strength)
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/generative-models/scripts/demo/streamlit_helpers.py", line 360, in init_sampling
    sampler = get_sampler(sampler, steps, discretization_config, guider_config, key=key)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/generative-models/scripts/demo/streamlit_helpers.py", line 408, in get_sampler
    sampler = EulerEDMSampler(
              ^^^^^^^^^^^^^^^^
  File "/home/user/generative-models/sgm/modules/diffusionmodules/sampling.py", line 86, in __init__
    super().__init__(*args, **kwargs)
  File "/home/user/generative-models/sgm/modules/diffusionmodules/sampling.py", line 32, in __init__
    self.guider = instantiate_from_config(
                  ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/generative-models/sgm/util.py", line 175, in instantiate_from_config
    return get_obj_from_str(config["target"])(**config.get("params", dict()))
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: VanillaCFG.__init__() got an unexpected keyword argument 'scale_schedule_config'

[timudk]

Thank you for raising this, has been fixed in a8b4e89