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slurm-3535494.out
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NODELIST=gammagpu13
MASTER_ADDR=gammagpu13
Some weights of the model checkpoint were not used when initializing ControlNetSDVModel:
['time_embedding.cond_proj.weight']
Keyword arguments {'text_encoder': CLIPTextModel(
(text_model): CLIPTextTransformer(
(embeddings): CLIPTextEmbeddings(
(token_embedding): Embedding(49408, 1024)
(position_embedding): Embedding(77, 1024)
)
(encoder): CLIPEncoder(
(layers): ModuleList(
(0-22): 23 x CLIPEncoderLayer(
(self_attn): CLIPSdpaAttention(
(k_proj): Linear(in_features=1024, out_features=1024, bias=True)
(v_proj): Linear(in_features=1024, out_features=1024, bias=True)
(q_proj): Linear(in_features=1024, out_features=1024, bias=True)
(out_proj): Linear(in_features=1024, out_features=1024, bias=True)
)
(layer_norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
(mlp): CLIPMLP(
(activation_fn): GELUActivation()
(fc1): Linear(in_features=1024, out_features=4096, bias=True)
(fc2): Linear(in_features=4096, out_features=1024, bias=True)
)
(layer_norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
)
)
)
(final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True)
)
)} are not expected by StableVideoDiffusionPipelineControlNet and will be ignored.
Loading existing controlnet weights
layers per block is 2
Initializing vae weights from unet
***** Running training *****
Num Epochs = 100
Instantaneous batch size per device = 1
Gradient Accumulation steps = 1
Total optimization steps = None
Loading pipeline components...: 0%| | 0/5 [00:00<?, ?it/s]Loading pipeline components...: 100%|██████████| 5/5 [00:00<00:00, 233.72it/s]
Loading pipeline components...: 0%| | 0/5 [00:00<?, ?it/s]Loading pipeline components...: 20%|██ | 1/5 [00:00<00:00, 6.35it/s]Loading pipeline components...: 60%|██████ | 3/5 [00:00<00:00, 10.54it/s]Loading pipeline components...: 100%|██████████| 5/5 [00:00<00:00, 14.75it/s]
0
/fs/nexus-scratch/sjxu/controlnet-diffusers-relighting/exemplars/001
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Marigold predictions...: 0%| | 0/1 [00:00<?, ?it/s]
Diffusion steps...: 0%| | 0/1 [00:00<?, ?it/s][A
Diffusion steps...: 100%|██████████| 1/1 [00:00<00:00, 7.45it/s][A
[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 7.42it/s]Marigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 7.41it/s]
(512, 768, 3) (512, 768, 1)
Marigold predictions...: 0%| | 0/1 [00:00<?, ?it/s]
Diffusion steps...: 0%| | 0/1 [00:00<?, ?it/s][A
[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.43it/s]
(512, 768, 3) (512, 768, 1)
Marigold predictions...: 0%| | 0/1 [00:00<?, ?it/s]
Diffusion steps...: 0%| | 0/1 [00:00<?, ?it/s][A
[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.41it/s]
(512, 768, 3) (512, 768, 1)
Marigold predictions...: 0%| | 0/1 [00:00<?, ?it/s]
Diffusion steps...: 0%| | 0/1 [00:00<?, ?it/s][A
[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.41it/s]
(512, 768, 3) (512, 768, 1)
Marigold predictions...: 0%| | 0/1 [00:00<?, ?it/s]
Diffusion steps...: 0%| | 0/1 [00:00<?, ?it/s][A
[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.42it/s]
(512, 768, 3) (512, 768, 1)
num 5
num 5
/fs/nexus-scratch/sjxu/svd-temporal-controlnet/output/001
inject_lighting_direction
[18, 18, 18, 18, 18]
torch.Size([5, 1, 16])
768 512
====== 256 384
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/fs/nexus-scratch/sjxu/controlnet-diffusers-relighting/exemplars/002
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Marigold predictions...: 0%| | 0/1 [00:00<?, ?it/s]
Diffusion steps...: 0%| | 0/1 [00:00<?, ?it/s][A
[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.41it/s]
(512, 768, 3) (512, 768, 1)
Marigold predictions...: 0%| | 0/1 [00:00<?, ?it/s]
Diffusion steps...: 0%| | 0/1 [00:00<?, ?it/s][A
[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.31it/s]
(512, 768, 3) (512, 768, 1)
Marigold predictions...: 0%| | 0/1 [00:00<?, ?it/s]
Diffusion steps...: 0%| | 0/1 [00:00<?, ?it/s][A
[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.36it/s]
(512, 768, 3) (512, 768, 1)
Marigold predictions...: 0%| | 0/1 [00:00<?, ?it/s]
Diffusion steps...: 0%| | 0/1 [00:00<?, ?it/s][A
[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.35it/s]
(512, 768, 3) (512, 768, 1)
Marigold predictions...: 0%| | 0/1 [00:00<?, ?it/s]
Diffusion steps...: 0%| | 0/1 [00:00<?, ?it/s][A
[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.35it/s]
(512, 768, 3) (512, 768, 1)
num 5
num 5
/fs/nexus-scratch/sjxu/svd-temporal-controlnet/output/002
inject_lighting_direction
[18, 18, 18, 18, 18]
torch.Size([5, 1, 16])
768 512
====== 256 384
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/fs/nexus-scratch/sjxu/controlnet-diffusers-relighting/exemplars/003
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[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.40it/s]
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[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.31it/s]
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Diffusion steps...: 0%| | 0/1 [00:00<?, ?it/s][A
[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.32it/s]
(512, 768, 3) (512, 768, 1)
Marigold predictions...: 0%| | 0/1 [00:00<?, ?it/s]
Diffusion steps...: 0%| | 0/1 [00:00<?, ?it/s][A
[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.33it/s]
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[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.32it/s]
(512, 768, 3) (512, 768, 1)
num 5
num 5
/fs/nexus-scratch/sjxu/svd-temporal-controlnet/output/003
inject_lighting_direction
[18, 18, 18, 18, 18]
torch.Size([5, 1, 16])
768 512
====== 256 384
3
/fs/nexus-scratch/sjxu/controlnet-diffusers-relighting/exemplars/004
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Marigold predictions...: 0%| | 0/1 [00:00<?, ?it/s]
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[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.36it/s]
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Diffusion steps...: 0%| | 0/1 [00:00<?, ?it/s][A
[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.27it/s]
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[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.25it/s]
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[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.24it/s]
(512, 768, 3) (512, 768, 1)
Marigold predictions...: 0%| | 0/1 [00:00<?, ?it/s]
Diffusion steps...: 0%| | 0/1 [00:00<?, ?it/s][A
[AMarigold predictions...: 100%|██████████| 1/1 [00:00<00:00, 11.27it/s]
(512, 768, 3) (512, 768, 1)
num 5
num 5
/fs/nexus-scratch/sjxu/svd-temporal-controlnet/output/004
inject_lighting_direction
[18, 18, 18, 18, 18]
torch.Size([5, 1, 16])
768 512
====== 256 384
Traceback (most recent call last):
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/eval_svd_controlnet.py", line 1090, in <module>
ß
NameError: name 'ß' is not defined
srun: error: gammagpu13: task 0: Exited with exit code 1