diff --git "a/logs.txt" "b/logs.txt"
--- "a/logs.txt"
+++ "b/logs.txt"
@@ -1,181 +1,3 @@
-The following values were not passed to `accelerate launch` and had defaults used instead:
-	`--num_processes` was set to a value of `1`
-	`--num_machines` was set to a value of `1`
-	`--mixed_precision` was set to a value of `'no'`
-	`--dynamo_backend` was set to a value of `'no'`
-To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
-Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
-11/30/2023 08:05:06 - INFO - __main__ - Distributed environment: NO
-Num processes: 1
-Process index: 0
-Local process index: 0
-Device: cuda
-
-Mixed precision type: fp16
-
-{'variance_type', 'clip_sample_range', 'dynamic_thresholding_ratio', 'thresholding'} was not found in config. Values will be initialized to default values.
-You are using a model of type clip_text_model to instantiate a model of type . This is not supported for all configurations of models and can yield errors.
-You are using a model of type clip_text_model to instantiate a model of type . This is not supported for all configurations of models and can yield errors.
-{'reverse_transformer_layers_per_block', 'dropout', 'attention_type'} was not found in config. Values will be initialized to default values.
-Optimizing parameters: ['down_blocks.0.resnets.0.conv1.lora_A.default.weight', 'down_blocks.0.resnets.0.conv1.lora_B.default.weight', 'down_blocks.0.resnets.0.time_emb_proj.lora_A.default.weight', 'down_blocks.0.resnets.0.time_emb_proj.lora_B.default.weight', 'down_blocks.0.resnets.0.conv2.lora_A.default.weight', 'down_blocks.0.resnets.0.conv2.lora_B.default.weight', 'down_blocks.0.resnets.1.conv1.lora_A.default.weight', 'down_blocks.0.resnets.1.conv1.lora_B.default.weight', 'down_blocks.0.resnets.1.time_emb_proj.lora_A.default.weight', 'down_blocks.0.resnets.1.time_emb_proj.lora_B.default.weight', 'down_blocks.0.resnets.1.conv2.lora_A.default.weight', 'down_blocks.0.resnets.1.conv2.lora_B.default.weight', 'down_blocks.0.downsamplers.0.conv.lora_A.default.weight', 'down_blocks.0.downsamplers.0.conv.lora_B.default.weight', 'down_blocks.1.attentions.0.proj_in.lora_A.default.weight', 'down_blocks.1.attentions.0.proj_in.lora_B.default.weight', 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(/home/sayak/.cache/huggingface/datasets/lambdalabs___parquet/lambdalabs--pokemon-blip-captions-10e3527a764857bd/0.0.0/14a00e99c0d15a23649d0db8944380ac81082d4b021f398733dd84f3a6c569a7)
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100%|██████████| 1/1 [00:00<00:00, 174.83it/s]
-wandb: Currently logged in as: sayakpaul. Use `wandb login --relogin` to force relogin
-wandb: wandb version 0.16.0 is available!  To upgrade, please run:
-wandb:  $ pip install wandb --upgrade
-wandb: Tracking run with wandb version 0.15.5
-wandb: Run data is saved locally in /home/sayak/diffusers/examples/consistency_distillation/wandb/run-20231130_080541-trqkear6
-wandb: Run `wandb offline` to turn off syncing.
-wandb: Syncing run blooming-yogurt-61
-wandb: ⭐️ View project at https://wandb.ai/sayakpaul/text2image-fine-tune
-wandb: 🚀 View run at https://wandb.ai/sayakpaul/text2image-fine-tune/runs/trqkear6
-11/30/2023 08:05:42 - INFO - __main__ - ***** Running training *****
-11/30/2023 08:05:42 - INFO - __main__ -   Num examples = 833
-11/30/2023 08:05:42 - INFO - __main__ -   Num Epochs = 95
-11/30/2023 08:05:42 - INFO - __main__ -   Instantaneous batch size per device = 16
-11/30/2023 08:05:42 - INFO - __main__ -   Total train batch size (w. parallel, distributed & accumulation) = 16
-11/30/2023 08:05:42 - INFO - __main__ -   Gradient Accumulation steps = 1
-11/30/2023 08:05:42 - INFO - __main__ -   Total optimization steps = 5000
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Steps:   0%|          | 0/5000 [00:00<?, ?it/s]Any difference in trainable params after disable:
-0 0
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Steps:   0%|          | 1/5000 [00:22<31:07:17, 22.41s/it]
Steps:   0%|          | 1/5000 [00:22<31:07:17, 22.41s/it, loss=0.0212, lr=1e-5]
-Any difference in trainable params after enable:
-0 1576
-set()
-Any difference in trainable params after disable:
-0 0
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Steps:   0%|          | 2/5000 [00:39<26:30:17, 19.09s/it, loss=0.0212, lr=1e-5]
Steps:   0%|          | 2/5000 [00:39<26:30:17, 19.09s/it, loss=0.0145, lr=1e-5]
-Any difference in trainable params after enable:
-0 1576
-set()
-Any difference in trainable params after disable:
-0 0
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Steps:   0%|          | 3/5000 [00:54<24:23:48, 17.58s/it, loss=0.0145, lr=1e-5]
Steps:   0%|          | 3/5000 [00:54<24:23:48, 17.58s/it, loss=0.0309, lr=1e-5]
-Any difference in trainable params after enable:
-0 1576
-set()
-Any difference in trainable params after disable:
-0 0
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Steps:   0%|          | 4/5000 [01:10<23:24:09, 16.86s/it, loss=0.0309, lr=1e-5]
Steps:   0%|          | 4/5000 [01:10<23:24:09, 16.86s/it, loss=0.0201, lr=1e-5]
-Any difference in trainable params after enable:
-0 1576
-set()
-Any difference in trainable params after disable:
-0 0
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Steps:   0%|          | 5/5000 [01:26<22:51:25, 16.47s/it, loss=0.0201, lr=1e-5]
Steps:   0%|          | 5/5000 [01:26<22:51:25, 16.47s/it, loss=0.0183, lr=1e-5]
-Any difference in trainable params after enable:
-0 1576
-set()
-Any difference in trainable params after disable:
-0 0
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Steps:   0%|          | 6/5000 [01:42<22:30:36, 16.23s/it, loss=0.0183, lr=1e-5]
Steps:   0%|          | 6/5000 [01:42<22:30:36, 16.23s/it, loss=0.0341, lr=1e-5]
-Any difference in trainable params after enable:
-0 1576
-set()
-Any difference in trainable params after disable:
-0 0
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Steps:   0%|          | 7/5000 [01:58<22:17:43, 16.08s/it, loss=0.0341, lr=1e-5]
Steps:   0%|          | 7/5000 [01:58<22:17:43, 16.08s/it, loss=0.0241, lr=1e-5]
-Any difference in trainable params after enable:
-0 1576
-set()
-Traceback (most recent call last):
-  File "/home/sayak/diffusers/examples/consistency_distillation/train_lcm_distill_lora_sdxl.py", line 1338, in <module>
-    main(args)
-  File "/home/sayak/diffusers/examples/consistency_distillation/train_lcm_distill_lora_sdxl.py", line 1149, in main
-    noise_pred = unet(
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
-    return self._call_impl(*args, **kwargs)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
-    return forward_call(*args, **kwargs)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/accelerate/utils/operations.py", line 659, in forward
-    return model_forward(*args, **kwargs)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/accelerate/utils/operations.py", line 647, in __call__
-    return convert_to_fp32(self.model_forward(*args, **kwargs))
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/amp/autocast_mode.py", line 16, in decorate_autocast
-    return func(*args, **kwargs)
-  File "/home/sayak/diffusers/src/diffusers/models/unet_2d_condition.py", line 1140, in forward
-    sample = upsample_block(
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
-    return self._call_impl(*args, **kwargs)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
-    return forward_call(*args, **kwargs)
-  File "/home/sayak/diffusers/src/diffusers/models/unet_2d_blocks.py", line 2344, in forward
-    hidden_states = attn(
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
-    return self._call_impl(*args, **kwargs)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
-    return forward_call(*args, **kwargs)
-  File "/home/sayak/diffusers/src/diffusers/models/transformer_2d.py", line 380, in forward
-    hidden_states = torch.utils.checkpoint.checkpoint(
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/_compile.py", line 24, in inner
-    return torch._dynamo.disable(fn, recursive)(*args, **kwargs)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 328, in _fn
-    return fn(*args, **kwargs)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 17, in inner
-    return fn(*args, **kwargs)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/utils/checkpoint.py", line 458, in checkpoint
-    ret = function(*args, **kwargs)
-  File "/home/sayak/diffusers/src/diffusers/models/transformer_2d.py", line 375, in custom_forward
-    return module(*inputs)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
-    return self._call_impl(*args, **kwargs)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
-    return forward_call(*args, **kwargs)
-  File "/home/sayak/diffusers/src/diffusers/models/attention.py", line 288, in forward
-    attn_output = self.attn1(
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
-    return self._call_impl(*args, **kwargs)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
-    return forward_call(*args, **kwargs)
-  File "/home/sayak/diffusers/src/diffusers/models/attention_processor.py", line 522, in forward
-    return self.processor(
-  File "/home/sayak/diffusers/src/diffusers/models/attention_processor.py", line 1219, in __call__
-    value = attn.to_v(encoder_hidden_states, *args)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
-    return self._call_impl(*args, **kwargs)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
-    return forward_call(*args, **kwargs)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/peft/tuners/lora/layer.py", line 317, in forward
-    result += lora_B(lora_A(dropout(x))) * scaling
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
-    return self._call_impl(*args, **kwargs)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
-    return forward_call(*args, **kwargs)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/nn/modules/linear.py", line 114, in forward
-    return F.linear(input, self.weight, self.bias)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/utils/checkpoint.py", line 1053, in pack_hook
-    with torch.no_grad():
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/autograd/grad_mode.py", line 80, in __enter__
-    torch.set_grad_enabled(False)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/torch/autograd/grad_mode.py", line 184, in __init__
-    torch._C._set_grad_enabled(mode)
-KeyboardInterrupt
-wandb: Waiting for W&B process to finish... (failed 255). Press Control-C to abort syncing.
-Traceback (most recent call last):
-  File "/home/sayak/.pyenv/versions/diffusers/bin/accelerate", line 8, in <module>
-    sys.exit(main())
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/accelerate/commands/accelerate_cli.py", line 47, in main
-    args.func(args)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/accelerate/commands/launch.py", line 994, in launch_command
-    simple_launcher(args)
-  File "/home/sayak/.pyenv/versions/3.10.12/envs/diffusers/lib/python3.10/site-packages/accelerate/commands/launch.py", line 633, in simple_launcher
-    process.wait()
-  File "/home/sayak/.pyenv/versions/3.10.12/lib/python3.10/subprocess.py", line 1209, in wait
-    return self._wait(timeout=timeout)
-  File "/home/sayak/.pyenv/versions/3.10.12/lib/python3.10/subprocess.py", line 1959, in _wait
-    (pid, sts) = self._try_wait(0)
-  File "/home/sayak/.pyenv/versions/3.10.12/lib/python3.10/subprocess.py", line 1917, in _try_wait
-    (pid, sts) = os.waitpid(self.pid, wait_flags)
-KeyboardInterrupt
-wandb: 
-wandb: Run history:
-wandb: loss ▃▁▇▃▂█▄
-wandb:   lr ▁▁▁▁▁▁▁
-wandb: 
-wandb: Run summary:
-wandb: loss 0.02408
-wandb:   lr 1e-05
-wandb: 
-wandb: 🚀 View run blooming-yogurt-61 at: https://wandb.ai/sayakpaul/text2image-fine-tune/runs/trqkear6
-wandb: Synced 5 W&B file(s), 0 media file(s), 2 artifact file(s) and 1 other file(s)
-wandb: Find logs at: ./wandb/run-20231130_080541-trqkear6/logs
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