End of training
Browse files- .gitattributes +4 -0
- README.md +60 -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
- image_0.png +3 -0
- image_1.png +3 -0
- image_2.png +3 -0
- image_3.png +3 -0
- logs/dreambooth-lora-sd-xl/1728878739.491561/events.out.tfevents.1728878739.dragon0.652910.1 +3 -0
- logs/dreambooth-lora-sd-xl/1728878739.4929087/hparams.yml +67 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1728878739.dragon0.652910.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
.gitattributes
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@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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image_0.png filter=lfs diff=lfs merge=lfs -text
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image_1.png filter=lfs diff=lfs merge=lfs -text
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image_2.png filter=lfs diff=lfs merge=lfs -text
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image_3.png filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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- text-to-image
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- diffusers
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- lora
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- template:sd-lora
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widget:
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- text: 'a dress in szn style'
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output:
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url:
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"image_0.png"
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- text: 'a dress in szn style'
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output:
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url:
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"image_1.png"
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- text: 'a dress in szn style'
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output:
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url:
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"image_2.png"
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- text: 'a dress in szn style'
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output:
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url:
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"image_3.png"
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: a shirt in szn style
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license: openrail++
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---
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# SDXL LoRA DreamBooth - semo720/lora-sdxl-floral
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<Gallery />
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## Model description
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These are semo720/lora-sdxl-floral 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 shirt in szn style 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](semo720/lora-sdxl-floral/tree/main) them in the Files & versions tab.
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checkpoint-1000/optimizer.bin
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size 187411668
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checkpoint-1000/pytorch_lora_weights.safetensors
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checkpoint-1000/random_states_0.pkl
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checkpoint-1000/scaler.pt
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checkpoint-1000/scheduler.bin
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checkpoint-500/optimizer.bin
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checkpoint-500/pytorch_lora_weights.safetensors
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checkpoint-500/random_states_0.pkl
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checkpoint-500/scaler.pt
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checkpoint-500/scheduler.bin
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size 1000
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image_0.png
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Git LFS Details
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image_1.png
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Git LFS Details
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image_2.png
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Git LFS Details
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image_3.png
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Git LFS Details
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logs/dreambooth-lora-sd-xl/1728878739.491561/events.out.tfevents.1728878739.dragon0.652910.1
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logs/dreambooth-lora-sd-xl/1728878739.4929087/hparams.yml
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adam_beta1: 0.9
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| 2 |
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adam_beta2: 0.999
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| 3 |
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adam_epsilon: 1.0e-08
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| 4 |
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adam_weight_decay: 0.0001
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| 5 |
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adam_weight_decay_text_encoder: 0.001
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| 6 |
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allow_tf32: false
|
| 7 |
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cache_dir: null
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| 8 |
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caption_column: null
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| 9 |
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center_crop: false
|
| 10 |
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checkpointing_steps: 500
|
| 11 |
+
checkpoints_total_limit: null
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| 12 |
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class_data_dir: null
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| 13 |
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class_prompt: null
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| 14 |
+
crops_coords_top_left_h: 0
|
| 15 |
+
crops_coords_top_left_w: 0
|
| 16 |
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dataloader_num_workers: 0
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| 17 |
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dataset_config_name: null
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| 18 |
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dataset_name: null
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| 19 |
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enable_xformers_memory_efficient_attention: false
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| 20 |
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gradient_accumulation_steps: 1
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| 21 |
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gradient_checkpointing: true
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| 22 |
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hub_model_id: null
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| 23 |
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hub_token: null
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| 24 |
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image_column: image
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| 25 |
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instance_data_dir: /home/sean/lora/ziplora-pytorch/instances/style2_floral
|
| 26 |
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instance_prompt: a shirt in szn style
|
| 27 |
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learning_rate: 5.0e-05
|
| 28 |
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local_rank: -1
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| 29 |
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logging_dir: logs
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| 30 |
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lr_num_cycles: 1
|
| 31 |
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lr_power: 1.0
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| 32 |
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lr_scheduler: constant
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| 33 |
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lr_warmup_steps: 0
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| 34 |
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max_grad_norm: 1.0
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| 35 |
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max_train_steps: 1000
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| 36 |
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mixed_precision: fp16
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| 37 |
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num_class_images: 100
|
| 38 |
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num_train_epochs: 1000
|
| 39 |
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num_validation_images: 4
|
| 40 |
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optimizer: AdamW
|
| 41 |
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output_dir: lora-sdxl-floral
|
| 42 |
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pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
|
| 43 |
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pretrained_vae_model_name_or_path: null
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| 44 |
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prior_generation_precision: null
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| 45 |
+
prior_loss_weight: 1.0
|
| 46 |
+
prodigy_beta3: null
|
| 47 |
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prodigy_decouple: true
|
| 48 |
+
prodigy_safeguard_warmup: true
|
| 49 |
+
prodigy_use_bias_correction: true
|
| 50 |
+
push_to_hub: true
|
| 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
|
| 56 |
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revision: null
|
| 57 |
+
sample_batch_size: 4
|
| 58 |
+
scale_lr: false
|
| 59 |
+
seed: 0
|
| 60 |
+
snr_gamma: null
|
| 61 |
+
text_encoder_lr: 5.0e-06
|
| 62 |
+
train_batch_size: 1
|
| 63 |
+
train_text_encoder: false
|
| 64 |
+
use_8bit_adam: true
|
| 65 |
+
validation_epochs: 50
|
| 66 |
+
validation_prompt: a dress in szn style
|
| 67 |
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with_prior_preservation: false
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logs/dreambooth-lora-sd-xl/events.out.tfevents.1728878739.dragon0.652910.0
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size 133078546
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