End of training
Browse files- B-LoRA_Ukiyo-e.safetensors +3 -0
- README.md +62 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scaler.pt +3 -0
- checkpoint-500/scheduler.bin +3 -0
- logs/dreambooth-lora-sd-xl/1713195444.3107061/events.out.tfevents.1713195444.150-136-220-21.1356826.1 +3 -0
- logs/dreambooth-lora-sd-xl/1713195444.3128061/hparams.yml +76 -0
- logs/dreambooth-lora-sd-xl/1713270243.098168/events.out.tfevents.1713270243.150-136-220-21.1368374.1 +3 -0
- logs/dreambooth-lora-sd-xl/1713270243.1001117/hparams.yml +69 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1713195444.150-136-220-21.1356826.0 +3 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1713270243.150-136-220-21.1368374.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
B-LoRA_Ukiyo-e.safetensors
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version https://git-lfs.github.com/spec/v1
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README.md
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---
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license: openrail++
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library_name: diffusers
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tags:
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- text-to-image
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- text-to-image
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- diffusers-training
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- diffusers
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- lora
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- template:sd-lora
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: a [v]
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widget: []
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# SDXL LoRA DreamBooth - linoyts/B-LoRA_Ukiyo-e
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<Gallery />
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## Model description
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These are linoyts/B-LoRA_Ukiyo-e LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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The weights were trained using [DreamBooth](https://dreambooth.github.io/).
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LoRA for the text encoder was enabled: False.
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Special VAE used for training: None.
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## Trigger words
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You should use a [v] to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](linoyts/B-LoRA_Ukiyo-e/tree/main) them in the Files & versions tab.
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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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checkpoint-1000/optimizer.bin
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logs/dreambooth-lora-sd-xl/1713195444.3128061/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 0.0001
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adam_weight_decay_text_encoder: null
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allow_tf32: false
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cache_dir: null
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cache_latents: false
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caption_column: null
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center_crop: false
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checkpointing_steps: 500
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dataloader_num_workers: 0
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dataset_config_name: null
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dataset_name: null
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do_edm_style_training: false
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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hub_model_id: null
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hub_token: null
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image_column: image
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instance_data_dir: ./style2
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instance_prompt: a [v]
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learning_rate: 5.0e-05
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local_rank: -1
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logging_dir: logs
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lr_num_cycles: 1
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lr_power: 1.0
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lr_scheduler: constant
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lr_warmup_steps: 0
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max_grad_norm: 1.0
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max_train_steps: 1000
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mixed_precision: null
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num_class_images: 100
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num_new_tokens_per_abstraction: 2
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num_train_epochs: 1000
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num_validation_images: 4
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optimizer: adamW
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output_dir: B-LoRA_Ukiyo-e
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pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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pretrained_vae_model_name_or_path: null
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prior_generation_precision: null
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prior_loss_weight: 1.0
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prodigy_beta3: null
|
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prodigy_decouple: true
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prodigy_safeguard_warmup: true
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prodigy_use_bias_correction: true
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push_to_hub: false
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random_flip: false
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rank: 64
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repeats: 1
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report_to: tensorboard
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resolution: 1024
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resume_from_checkpoint: null
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revision: null
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sample_batch_size: 4
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scale_lr: false
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seed: 0
|
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snr_gamma: null
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text_encoder_lr: 5.0e-06
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token_abstraction: TOK
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train_batch_size: 1
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train_text_encoder: false
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train_text_encoder_frac: 1.0
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train_text_encoder_ti: false
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train_text_encoder_ti_frac: 0.5
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use_8bit_adam: false
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use_blora: true
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use_dora: false
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validation_epochs: 50
|
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validation_prompt: null
|
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variant: null
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with_prior_preservation: false
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logs/dreambooth-lora-sd-xl/1713270243.098168/events.out.tfevents.1713270243.150-136-220-21.1368374.1
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logs/dreambooth-lora-sd-xl/1713270243.1001117/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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hub_model_id: null
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hub_token: null
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image_column: image
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instance_data_dir: ./style2
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instance_prompt: a [v]
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learning_rate: 5.0e-05
|
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local_rank: -1
|
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logging_dir: logs
|
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lr_num_cycles: 1
|
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lr_power: 1.0
|
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lr_scheduler: constant
|
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lr_warmup_steps: 0
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max_grad_norm: 1.0
|
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max_train_steps: 1000
|
35 |
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mixed_precision: fp16
|
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num_class_images: 100
|
37 |
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num_train_epochs: 1000
|
38 |
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num_validation_images: 4
|
39 |
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optimizer: AdamW
|
40 |
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output_dir: B-LoRA_Ukiyo-e
|
41 |
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pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
|
42 |
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pretrained_vae_model_name_or_path: null
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prior_generation_precision: null
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prior_loss_weight: 1.0
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prodigy_beta3: null
|
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prodigy_decouple: true
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prodigy_safeguard_warmup: true
|
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prodigy_use_bias_correction: true
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push_to_hub: true
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random_flip: false
|
51 |
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rank: 64
|
52 |
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repeats: 1
|
53 |
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report_to: tensorboard
|
54 |
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resolution: 1024
|
55 |
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resume_from_checkpoint: null
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revision: null
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57 |
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sample_batch_size: 4
|
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scale_lr: false
|
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seed: 0
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snr_gamma: null
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text_encoder_lr: 5.0e-06
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train_batch_size: 1
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train_text_encoder: false
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use_8bit_adam: false
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use_dora: false
|
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validation_epochs: 50
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validation_prompt: null
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variant: null
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with_prior_preservation: false
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logs/dreambooth-lora-sd-xl/events.out.tfevents.1713195444.150-136-220-21.1356826.0
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version https://git-lfs.github.com/spec/v1
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pytorch_lora_weights.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
|
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|
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|
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:5679089a9001d37fce0c532040fc173cd6e1c665cbc61d6a504d620de3dd67da
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3 |
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size 112769968
|