End of training
Browse files- .gitattributes +1 -0
- README.md +60 -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 +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +3 -0
- logs/dreambooth-lora-sd-xl/1705663794.2391224/events.out.tfevents.1705663794.node0.105641.1 +3 -0
- logs/dreambooth-lora-sd-xl/1705663794.243124/hparams.yml +68 -0
- logs/dreambooth-lora-sd-xl/1705670338.0466928/events.out.tfevents.1705670338.node0.122361.1 +3 -0
- logs/dreambooth-lora-sd-xl/1705670338.0519938/hparams.yml +68 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1705663794.node0.105641.0 +3 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1705670338.node0.122361.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ 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_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 deer in sks style'
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output:
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url:
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"image_0.png"
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- text: 'a deer in sks style'
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output:
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url:
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"image_1.png"
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- text: 'a deer in sks style'
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output:
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url:
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"image_2.png"
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- text: 'a deer in sks 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 dog in sks style
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license: openrail++
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---
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# SDXL LoRA DreamBooth - taki0112/lora-trained-xl_craft-clay_split
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<Gallery />
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## Model description
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These are taki0112/lora-trained-xl_craft-clay_split 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: madebyollin/sdxl-vae-fp16-fix.
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## Trigger words
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You should use a dog in sks 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](taki0112/lora-trained-xl_craft-clay_split/tree/main) them in the Files & versions tab.
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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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image_0.png
ADDED
image_1.png
ADDED
image_2.png
ADDED
image_3.png
ADDED
Git LFS Details
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logs/dreambooth-lora-sd-xl/1705663794.2391224/events.out.tfevents.1705663794.node0.105641.1
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logs/dreambooth-lora-sd-xl/1705663794.243124/hparams.yml
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adam_beta1: 0.9
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2 |
+
adam_beta2: 0.999
|
3 |
+
adam_epsilon: 1.0e-08
|
4 |
+
adam_weight_decay: 0.0001
|
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adam_weight_decay_text_encoder: 0.001
|
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allow_tf32: false
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cache_dir: null
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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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checkpoints_total_limit: null
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class_data_dir: null
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class_prompt: null
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crops_coords_top_left_h: 0
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crops_coords_top_left_w: 0
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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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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 4
|
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gradient_checkpointing: false
|
22 |
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hub_model_id: null
|
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hub_token: null
|
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image_column: image
|
25 |
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instance_data_dir: dog
|
26 |
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instance_prompt: a dog in sks style
|
27 |
+
learning_rate: 0.0001
|
28 |
+
local_rank: -1
|
29 |
+
logging_dir: logs
|
30 |
+
lr_num_cycles: 1
|
31 |
+
lr_power: 1.0
|
32 |
+
lr_scheduler: constant
|
33 |
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lr_warmup_steps: 0
|
34 |
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max_grad_norm: 1.0
|
35 |
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max_train_steps: 500
|
36 |
+
mixed_precision: fp16
|
37 |
+
num_class_images: 100
|
38 |
+
num_train_epochs: 250
|
39 |
+
num_validation_images: 4
|
40 |
+
optimizer: AdamW
|
41 |
+
output_dir: lora-trained-xl_craft-clay_split
|
42 |
+
pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
|
43 |
+
pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
|
44 |
+
prior_generation_precision: null
|
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prior_loss_weight: 1.0
|
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prodigy_beta3: null
|
47 |
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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
|
51 |
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rank: 4
|
52 |
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repeats: 1
|
53 |
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report_to: tensorboard
|
54 |
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resolution: 512
|
55 |
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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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train_batch_size: 1
|
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train_text_encoder: false
|
64 |
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use_8bit_adam: false
|
65 |
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validation_epochs: 25
|
66 |
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validation_prompt: a deer in sks style
|
67 |
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variant: null
|
68 |
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with_prior_preservation: false
|
logs/dreambooth-lora-sd-xl/1705670338.0466928/events.out.tfevents.1705670338.node0.122361.1
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logs/dreambooth-lora-sd-xl/1705670338.0519938/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: 0.001
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cache_dir: null
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dataset_name: null
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enable_xformers_memory_efficient_attention: false
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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: dog
|
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instance_prompt: a dog in sks style
|
27 |
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learning_rate: 0.0001
|
28 |
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local_rank: -1
|
29 |
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logging_dir: logs
|
30 |
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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: 500
|
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mixed_precision: fp16
|
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num_class_images: 100
|
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num_train_epochs: 250
|
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num_validation_images: 4
|
40 |
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optimizer: AdamW
|
41 |
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output_dir: lora-trained-xl_craft-clay_split
|
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: madebyollin/sdxl-vae-fp16-fix
|
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prior_generation_precision: null
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push_to_hub: true
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rank: 4
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report_to: tensorboard
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text_encoder_lr: 5.0e-06
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train_text_encoder: false
|
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validation_epochs: 25
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variant: null
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logs/dreambooth-lora-sd-xl/events.out.tfevents.1705663794.node0.105641.0
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