End of training
Browse files- .gitattributes +4 -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 +3 -0
- image_1.png +3 -0
- image_2.png +3 -0
- image_3.png +3 -0
- logs/dreambooth-lora-sd-xl/1705663771.382887/events.out.tfevents.1705663771.node0.101041.1 +3 -0
- logs/dreambooth-lora-sd-xl/1705663771.3856542/hparams.yml +68 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1705663771.node0.101041.0 +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 tank 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 tank 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 tank 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 tank 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 car in sks style
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license: openrail++
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---
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# SDXL LoRA DreamBooth - taki0112/lora-trained-xl_low-poly_split
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<Gallery />
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## Model description
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These are taki0112/lora-trained-xl_low-poly_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 car 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_low-poly_split/tree/main) them in the Files & versions tab.
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checkpoint-500/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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size 47392445
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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 563
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image_0.png
ADDED
Git LFS Details
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image_1.png
ADDED
Git LFS Details
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image_2.png
ADDED
Git LFS Details
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image_3.png
ADDED
Git LFS Details
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logs/dreambooth-lora-sd-xl/1705663771.382887/events.out.tfevents.1705663771.node0.101041.1
ADDED
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version https://git-lfs.github.com/spec/v1
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size 3185
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logs/dreambooth-lora-sd-xl/1705663771.3856542/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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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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8 |
+
caption_column: null
|
9 |
+
center_crop: false
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10 |
+
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
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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: car
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instance_prompt: a car in sks style
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27 |
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learning_rate: 0.0001
|
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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
|
35 |
+
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_low-poly_split
|
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+
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
|
45 |
+
prior_loss_weight: 1.0
|
46 |
+
prodigy_beta3: null
|
47 |
+
prodigy_decouple: true
|
48 |
+
prodigy_safeguard_warmup: true
|
49 |
+
prodigy_use_bias_correction: true
|
50 |
+
push_to_hub: true
|
51 |
+
rank: 4
|
52 |
+
repeats: 1
|
53 |
+
report_to: tensorboard
|
54 |
+
resolution: 512
|
55 |
+
resume_from_checkpoint: null
|
56 |
+
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: false
|
65 |
+
validation_epochs: 25
|
66 |
+
validation_prompt: a tank in sks style
|
67 |
+
variant: null
|
68 |
+
with_prior_preservation: false
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logs/dreambooth-lora-sd-xl/events.out.tfevents.1705663771.node0.101041.0
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pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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size 23390424
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